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All Classes All Packages

A

abs() - Method in class org.apache.commons.math.complex.Complex

Return the absolute value of this complex number.

abs() - Method in class org.apache.commons.math.fraction.BigFraction

Returns the absolute value of this BigFraction.

abs() - Method in class org.apache.commons.math.fraction.Fraction

Returns the absolute value of this fraction.

abs(double) - Static method in class org.apache.commons.math.util.FastMath

Absolute value.

abs(float) - Static method in class org.apache.commons.math.util.FastMath

Absolute value.

abs(int) - Static method in class org.apache.commons.math.util.FastMath

Absolute value.

abs(long) - Static method in class org.apache.commons.math.util.FastMath

Absolute value.

ABS - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.abs method wrapped as a ComposableFunction.

absoluteAccuracy - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Maximum absolute error.

AbstractContinuousDistribution - Class in org.apache.commons.math.distribution

Base class for continuous distributions.

AbstractContinuousDistribution() - Constructor for class org.apache.commons.math.distribution.AbstractContinuousDistribution

Default constructor.

AbstractDistribution - Class in org.apache.commons.math.distribution

Base class for probability distributions.

AbstractDistribution() - Constructor for class org.apache.commons.math.distribution.AbstractDistribution

Default constructor.

AbstractEstimator - Class in org.apache.commons.math.estimation

Deprecated.

as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general

AbstractEstimator() - Constructor for class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Build an abstract estimator for least squares problems.

AbstractFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math.linear

Basic implementation of FieldMatrix methods regardless of the underlying storage.

AbstractFieldMatrix() - Constructor for class org.apache.commons.math.linear.AbstractFieldMatrix

Constructor for use with Serializable

AbstractFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math.linear.AbstractFieldMatrix

Creates a matrix with no data

AbstractFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.AbstractFieldMatrix

Create a new FieldMatrix with the supplied row and column dimensions.

AbstractFormat - Class in org.apache.commons.math.fraction

Common part shared by both FractionFormat and BigFractionFormat.

AbstractFormat() - Constructor for class org.apache.commons.math.fraction.AbstractFormat

Create an improper formatting instance with the default number format for the numerator and denominator.

AbstractFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.AbstractFormat

Create an improper formatting instance with a custom number format for both the numerator and denominator.

AbstractFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.AbstractFormat

Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.

AbstractIntegerDistribution - Class in org.apache.commons.math.distribution

Base class for integer-valued discrete distributions.

AbstractIntegerDistribution() - Constructor for class org.apache.commons.math.distribution.AbstractIntegerDistribution

Default constructor.

AbstractIntegrator - Class in org.apache.commons.math.ode

Base class managing common boilerplate for all integrators.

AbstractIntegrator() - Constructor for class org.apache.commons.math.ode.AbstractIntegrator

Build an instance with a null name.

AbstractIntegrator(String) - Constructor for class org.apache.commons.math.ode.AbstractIntegrator

Build an instance.

AbstractLeastSquaresOptimizer - Class in org.apache.commons.math.optimization.general

Base class for implementing least squares optimizers.

AbstractLeastSquaresOptimizer() - Constructor for class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Simple constructor with default settings.

AbstractLinearOptimizer - Class in org.apache.commons.math.optimization.linear

Base class for implementing linear optimizers.

AbstractLinearOptimizer() - Constructor for class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer

Simple constructor with default settings.

AbstractListChromosome<T> - Class in org.apache.commons.math.genetics

Chromosome represented by an immutable list of a fixed length.

AbstractListChromosome(List<T>) - Constructor for class org.apache.commons.math.genetics.AbstractListChromosome

Constructor.

AbstractListChromosome(T[]) - Constructor for class org.apache.commons.math.genetics.AbstractListChromosome

Constructor.

AbstractMultipleLinearRegression - Class in org.apache.commons.math.stat.regression

Abstract base class for implementations of MultipleLinearRegression.

AbstractMultipleLinearRegression() - Constructor for class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

AbstractRandomGenerator - Class in org.apache.commons.math.random

Abstract class implementing the RandomGenerator interface.

AbstractRandomGenerator() - Constructor for class org.apache.commons.math.random.AbstractRandomGenerator

Construct a RandomGenerator.

AbstractRealMatrix - Class in org.apache.commons.math.linear

Basic implementation of RealMatrix methods regardless of the underlying storage.

AbstractRealMatrix() - Constructor for class org.apache.commons.math.linear.AbstractRealMatrix

Creates a matrix with no data

AbstractRealMatrix(int, int) - Constructor for class org.apache.commons.math.linear.AbstractRealMatrix

Create a new RealMatrix with the supplied row and column dimensions.

AbstractRealVector - Class in org.apache.commons.math.linear

This class provides default basic implementations for many methods in the RealVector interface.

AbstractRealVector() - Constructor for class org.apache.commons.math.linear.AbstractRealVector

AbstractRealVector.EntryImpl - Class in org.apache.commons.math.linear

An entry in the vector.

AbstractRealVector.SparseEntryIterator - Class in org.apache.commons.math.linear

This class should rare be used, but is here to provide a default implementation of sparseIterator(), which is implemented by walking over the entries, skipping those whose values are the default one.

AbstractScalarDifferentiableOptimizer - Class in org.apache.commons.math.optimization.general

Base class for implementing optimizers for multivariate scalar functions.

AbstractScalarDifferentiableOptimizer() - Constructor for class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Simple constructor with default settings.

AbstractStepInterpolator - Class in org.apache.commons.math.ode.sampling

This abstract class represents an interpolator over the last step during an ODE integration.

AbstractStepInterpolator() - Constructor for class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Simple constructor.

AbstractStepInterpolator(double[], boolean) - Constructor for class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Simple constructor.

AbstractStepInterpolator(AbstractStepInterpolator) - Constructor for class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Copy constructor.

AbstractStorelessUnivariateStatistic - Class in org.apache.commons.math.stat.descriptive

Abstract implementation of the StorelessUnivariateStatistic interface.

AbstractStorelessUnivariateStatistic() - Constructor for class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic

AbstractUnivariateRealOptimizer - Class in org.apache.commons.math.optimization.univariate

Provide a default implementation for several functions useful to generic optimizers.

AbstractUnivariateRealOptimizer() - Constructor for class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Default constructor.

AbstractUnivariateRealOptimizer(int, double) - Constructor for class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Deprecated.

in 2.2. Please use the "setter" methods to assign meaningful values to the maximum numbers of iterations and evaluations, and to the absolute and relative accuracy thresholds.

AbstractUnivariateStatistic - Class in org.apache.commons.math.stat.descriptive

Abstract base class for all implementations of the UnivariateStatistic interface.

AbstractUnivariateStatistic() - Constructor for class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic

AbstractWell - Class in org.apache.commons.math.random

This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

AbstractWell(int, int, int, int) - Constructor for class org.apache.commons.math.random.AbstractWell

Creates a new random number generator.

AbstractWell(int, int, int, int, int) - Constructor for class org.apache.commons.math.random.AbstractWell

Creates a new random number generator using a single int seed.

AbstractWell(int, int, int, int, int[]) - Constructor for class org.apache.commons.math.random.AbstractWell

Creates a new random number generator using an int array seed.

AbstractWell(int, int, int, int, long) - Constructor for class org.apache.commons.math.random.AbstractWell

Creates a new random number generator using a single long seed.

acceptStep(AbstractStepInterpolator, double[], double[], double) - Method in class org.apache.commons.math.ode.AbstractIntegrator

Accept a step, triggering events and step handlers.

acos() - Method in class org.apache.commons.math.complex.Complex

Compute the inverse cosine of this complex number.

acos(double) - Static method in class org.apache.commons.math.util.FastMath

Compute the arc cosine of a number.

acos(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath

computes the arc-cosine of the argument.

ACOS - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.abs method wrapped as a ComposableFunction.

acosh(double) - Static method in class org.apache.commons.math.util.FastMath

Compute the inverse hyperbolic cosine of a number.

AdamsBashforthIntegrator - Class in org.apache.commons.math.ode.nonstiff

This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.

AdamsBashforthIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsBashforthIntegrator

Build an Adams-Bashforth integrator with the given order and step control parameters.

AdamsBashforthIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsBashforthIntegrator

Build an Adams-Bashforth integrator with the given order and step control parameters.

AdamsIntegrator - Class in org.apache.commons.math.ode.nonstiff

Base class for Adams-Bashforth and Adams-Moulton integrators.

AdamsIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsIntegrator

Build an Adams integrator with the given order and step control parameters.

AdamsIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsIntegrator

Build an Adams integrator with the given order and step control prameters.

AdamsMoultonIntegrator - Class in org.apache.commons.math.ode.nonstiff

This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.

AdamsMoultonIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator

Build an Adams-Moulton integrator with the given order and error control parameters.

AdamsMoultonIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator

Build an Adams-Moulton integrator with the given order and error control parameters.

AdamsNordsieckTransformer - Class in org.apache.commons.math.ode.nonstiff

Transformer to Nordsieck vectors for Adams integrators.

AdaptiveStepsizeIntegrator - Class in org.apache.commons.math.ode.nonstiff

This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations.

AdaptiveStepsizeIntegrator(String, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Build an integrator with the given stepsize bounds.

AdaptiveStepsizeIntegrator(String, double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Build an integrator with the given stepsize bounds.

add(double) - Method in class org.apache.commons.math.analysis.ComposableFunction

Return a function adding a constant term to the instance.

add(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector

Compute the sum of this vector and v.

add(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector

Compute the sum of this vector and v.

add(double[]) - Method in interface org.apache.commons.math.linear.RealVector

Compute the sum of this vector and v.

add(double, Vector3D) - Method in class org.apache.commons.math.geometry.Vector3D

Add a scaled vector to the instance.

add(int) - Method in class org.apache.commons.math.fraction.BigFraction

Adds the value of this fraction to the passed integer, returning the result in reduced form.

add(int) - Method in class org.apache.commons.math.fraction.Fraction

Add an integer to the fraction.

add(long) - Method in class org.apache.commons.math.fraction.BigFraction

Adds the value of this fraction to the passed long, returning the result in reduced form.

add(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction

Adds the value of this fraction to the passed BigInteger, returning the result in reduced form.

add(PolynomialFunction) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction

Add a polynomial to the instance.

add(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction

Return a function adding the instance and another function.

add(Complex) - Method in class org.apache.commons.math.complex.Complex

Return the sum of this complex number and the given complex number.

add(Dfp) - Method in class org.apache.commons.math.dfp.Dfp

Add x to this.

add(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction

Adds the value of this fraction to another, returning the result in reduced form.

add(Fraction) - Method in class org.apache.commons.math.fraction.Fraction

Adds the value of this fraction to another, returning the result in reduced form.

add(Vector3D) - Method in class org.apache.commons.math.geometry.Vector3D

Add a vector to the instance.

add(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Compute the sum of this and m.

add(Array2DRowRealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Compute the sum of this and m.

add(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Compute the sum of this and v.

add(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Compute the sum of this and v.

add(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Compute the sum of this and m.

add(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Compute the sum of this and m.

add(BigMatrixImpl) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Compute the sum of this and m.

add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Compute the sum of this and m.

add(BlockRealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Compute the sum of this and m.

add(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Compute the sum of this and m.

add(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Compute the sum of this and m.

add(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Compute the sum of this and m.

add(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Compute the sum of this and m.

add(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Compute the sum of this and v.

add(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector

Compute the sum of this and v.

add(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector

Compute the sum of this and v.

add(OpenMapRealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix

Compute the sum of this and m.

add(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Optimized method to add two OpenMapRealVectors.

add(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Compute the sum of this and m.

add(RealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Compute the sum of this and m.

add(RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Compute the sum of this and m.

add(RealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix

Compute the sum of this and m.

add(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix

Compute the sum of this and m.

add(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Compute the sum of this and m.

add(RealMatrixImpl) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Compute the sum of this and m.

add(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector

Compute the sum of this vector and v.

add(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Compute the sum of this vector and v.

add(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Compute the sum of this vector and v.

add(RealVector) - Method in interface org.apache.commons.math.linear.RealVector

Compute the sum of this vector and v.

add(SparseFieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector

Optimized method to add sparse vectors.

add(BigReal) - Method in class org.apache.commons.math.util.BigReal

Compute this + a.

add(T) - Method in interface org.apache.commons.math.FieldElement

Compute this + a.

add(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Compute the sum of this and v.

add(T[]) - Method in interface org.apache.commons.math.linear.FieldVector

Compute the sum of this and v.

add(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector

Compute the sum of this and v.

ADD - Static variable in class org.apache.commons.math.analysis.BinaryFunction

Deprecated.

The + operator method wrapped as a BinaryFunction.

addAndCheck(int, int) - Static method in class org.apache.commons.math.util.MathUtils

Add two integers, checking for overflow.

addAndCheck(long, long) - Static method in class org.apache.commons.math.util.MathUtils

Add two long integers, checking for overflow.

addChromosome(Chromosome) - Method in class org.apache.commons.math.genetics.ListPopulation

Add the given chromosome to the population.

addChromosome(Chromosome) - Method in interface org.apache.commons.math.genetics.Population

Add the given chromosome to the population.

addData(double[][]) - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Adds the observations represented by the elements in data.

addData(double, double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Adds the observation (x,y) to the regression data set.

addElement(double) - Method in interface org.apache.commons.math.util.DoubleArray

Adds an element to the end of this expandable array

addElement(double) - Method in class org.apache.commons.math.util.ResizableDoubleArray

Adds an element to the end of this expandable array.

addElementRolling(double) - Method in interface org.apache.commons.math.util.DoubleArray

Adds an element to the end of the array and removes the first element in the array.

addElementRolling(double) - Method in class org.apache.commons.math.util.ResizableDoubleArray

Adds an element to the end of the array and removes the first element in the array.

addElements(double[]) - Method in class org.apache.commons.math.util.ResizableDoubleArray

Adds several element to the end of this expandable array.

addEndTimeChecker(double, double, CombinedEventsManager) - Method in class org.apache.commons.math.ode.AbstractIntegrator

Deprecated.

as of 2.2, this method is not used any more

addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math.ode.AbstractIntegrator

Add an event handler to the integrator.

addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math.ode.events.CombinedEventsManager

Deprecated.

Add an events handler.

addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator

Add an event handler to the integrator.

addEventHandler(EventHandler, double, double, int) - Method in interface org.apache.commons.math.ode.ODEIntegrator

Add an event handler to the integrator.

addEventHandler(EventHandlerWithJacobians, double, double, int) - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians

Deprecated.

Add an event handler to the integrator.

ADDITIVE_MODE - Static variable in class org.apache.commons.math.util.ResizableDoubleArray

additive expansion mode

addMeasurement(WeightedMeasurement) - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem

Deprecated.

Add a new measurement to the set.

addObservedPoint(double, double) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter

Add an observed (x,y) point to the sample with unit weight.

addObservedPoint(double, double) - Method in class org.apache.commons.math.optimization.fitting.GaussianFitter

Adds point (x, y) to list of observed points with a weight of 1.0.

addObservedPoint(double, double, double) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter

Add an observed weighted (x,y) point to the sample.

addObservedPoint(double, double, double) - Method in class org.apache.commons.math.optimization.fitting.GaussianFitter

Adds point (x, y) to list of observed points with a weight of weight.

addObservedPoint(double, double, double) - Method in class org.apache.commons.math.optimization.fitting.HarmonicFitter

Add an observed weighted (x,y) point to the sample.

addObservedPoint(double, double, double) - Method in class org.apache.commons.math.optimization.fitting.PolynomialFitter

Add an observed weighted (x,y) point to the sample.

addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter

Add an observed weighted (x,y) point to the sample.

addParameter(EstimatedParameter) - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem

Deprecated.

Add a parameter to the problem.

addPoint(T) - Method in class org.apache.commons.math.stat.clustering.Cluster

Add a point to this cluster.

addStepHandler(StepHandlerWithJacobians) - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians

Deprecated.

Add a step handler to this integrator.

addStepHandler(StepHandler) - Method in class org.apache.commons.math.ode.AbstractIntegrator

Add a step handler to this integrator.

addStepHandler(StepHandler) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator

Add a step handler to this integrator.

addStepHandler(StepHandler) - Method in interface org.apache.commons.math.ode.ODEIntegrator

Add a step handler to this integrator.

addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Change an entry in the specified row and column.

addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Change an entry in the specified row and column.

addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Change an entry in the specified row and column.

addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix

Change an entry in the specified row and column.

addToEntry(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrix

Change an entry in the specified row and column.

addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Change an entry in the specified row and column.

addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Change an entry in the specified row and column.

addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Change an entry in the specified row and column.

addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Change an entry in the specified row and column.

addToEntry(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrix

Change an entry in the specified row and column.

addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.SparseFieldMatrix

Change an entry in the specified row and column.

addValue(char) - Method in class org.apache.commons.math.stat.Frequency

Adds 1 to the frequency count for v.

addValue(double) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Adds the value to the dataset.

addValue(double) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Add a value to the data

addValue(double) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

Adds the value to the dataset.

addValue(double) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Add a value to the data

addValue(double[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Add an n-tuple to the data

addValue(double[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Add an n-tuple to the data

addValue(int) - Method in class org.apache.commons.math.stat.Frequency

Adds 1 to the frequency count for v.

addValue(long) - Method in class org.apache.commons.math.stat.Frequency

Adds 1 to the frequency count for v.

addValue(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency

Adds 1 to the frequency count for v.

addValue(Integer) - Method in class org.apache.commons.math.stat.Frequency

Deprecated.

to be removed in math 3.0

addValue(Object) - Method in class org.apache.commons.math.stat.Frequency

Deprecated.

use Frequency.addValue(Comparable) instead

advance() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator

Advance iterator one step further.

advance() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator

Advance iterator one step further.

advance(AbstractRealVector.EntryImpl) - Method in class org.apache.commons.math.linear.AbstractRealVector.SparseEntryIterator

Advance an entry up to the next nonzero one.

aggregate(Collection<SummaryStatistics>) - Static method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Computes aggregate summary statistics.

AggregateSummaryStatistics - Class in org.apache.commons.math.stat.descriptive

An aggregator for SummaryStatistics from several data sets or data set partitions.

AggregateSummaryStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Initializes a new AggregateSummaryStatistics with default statistics implementations.

AggregateSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.

AggregateSummaryStatistics(SummaryStatistics, SummaryStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.

align(int) - Method in class org.apache.commons.math.dfp.Dfp

Make our exp equal to the supplied one, this may cause rounding.

angle(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D

Compute the angular separation between two vectors.

anovaFValue(Collection<double[]>) - Method in interface org.apache.commons.math.stat.inference.OneWayAnova

Computes the ANOVA F-value for a collection of double[] arrays.

anovaFValue(Collection<double[]>) - Method in class org.apache.commons.math.stat.inference.OneWayAnovaImpl

Computes the ANOVA F-value for a collection of double[] arrays.

anovaPValue(Collection<double[]>) - Method in interface org.apache.commons.math.stat.inference.OneWayAnova

Computes the ANOVA P-value for a collection of double[] arrays.

anovaPValue(Collection<double[]>) - Method in class org.apache.commons.math.stat.inference.OneWayAnovaImpl

Computes the ANOVA P-value for a collection of double[] arrays.

anovaTest(Collection<double[]>, double) - Method in interface org.apache.commons.math.stat.inference.OneWayAnova

Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.

anovaTest(Collection<double[]>, double) - Method in class org.apache.commons.math.stat.inference.OneWayAnovaImpl

Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.

AnyMatrix - Interface in org.apache.commons.math.linear

Interface defining very basic matrix operations.

append(double) - Method in class org.apache.commons.math.linear.ArrayRealVector

Construct a vector by appending a double to this vector.

append(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Construct a vector by appending a double to this vector.

append(double) - Method in interface org.apache.commons.math.linear.RealVector

Construct a vector by appending a double to this vector.

append(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector

Construct a vector by appending a double array to this vector.

append(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Construct a vector by appending a double array to this vector.

append(double[]) - Method in interface org.apache.commons.math.linear.RealVector

Construct a vector by appending a double array to this vector.

append(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Construct a vector by appending a vector to this vector.

append(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Construct a vector by appending a vector to this vector.

append(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Construct a vector by appending a vector to this vector.

append(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector

Construct a vector by appending a vector to this vector.

append(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector

Construct a vector by appending a vector to this vector.

append(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Optimized method to append a OpenMapRealVector.

append(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Construct a vector by appending a vector to this vector.

append(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Construct a vector by appending a vector to this vector.

append(RealVector) - Method in interface org.apache.commons.math.linear.RealVector

Construct a vector by appending a vector to this vector.

append(SparseFieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector

Construct a vector by appending a vector to this vector.

append(ContinuousOutputModel) - Method in class org.apache.commons.math.ode.ContinuousOutputModel

Append another model at the end of the instance.

append(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Construct a vector by appending a T to this vector.

append(T) - Method in interface org.apache.commons.math.linear.FieldVector

Construct a vector by appending a T to this vector.

append(T) - Method in class org.apache.commons.math.linear.SparseFieldVector

Construct a vector by appending a T to this vector.

append(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Construct a vector by appending a T array to this vector.

append(T[]) - Method in interface org.apache.commons.math.linear.FieldVector

Construct a vector by appending a T array to this vector.

append(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector

Construct a vector by appending a T array to this vector.

apply(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Apply the given statistic to the data associated with this set of statistics.

apply(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

Apply the given statistic to the data associated with this set of statistics.

applyInverseTo(Rotation) - Method in class org.apache.commons.math.geometry.Rotation

Apply the inverse of the instance to another rotation.

applyInverseTo(Vector3D) - Method in class org.apache.commons.math.geometry.Rotation

Apply the inverse of the rotation to a vector.

applyTo(Rotation) - Method in class org.apache.commons.math.geometry.Rotation

Apply the instance to another rotation.

applyTo(Vector3D) - Method in class org.apache.commons.math.geometry.Rotation

Apply the rotation to a vector.

ARGUMENT_OUTSIDE_DOMAIN - org.apache.commons.math.exception.util.LocalizedFormats

ArgumentOutsideDomainException - Exception in org.apache.commons.math

Error thrown when a method is called with an out of bounds argument.

ArgumentOutsideDomainException(double, double, double) - Constructor for exception org.apache.commons.math.ArgumentOutsideDomainException

Constructs an exception with specified formatted detail message.

ArgUtils - Class in org.apache.commons.math.exception.util

Utility class for transforming the list of arguments passed to constructors of exceptions.

ARRAY_SIZES_SHOULD_HAVE_DIFFERENCE_1 - org.apache.commons.math.exception.util.LocalizedFormats

ARRAY_SUMS_TO_ZERO - org.apache.commons.math.exception.util.LocalizedFormats

Array2DRowFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math.linear

Implementation of FieldMatrix using a FieldElement[][] array to store entries.

Array2DRowFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix

Creates a matrix with no data

Array2DRowFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix

Create a new FieldMatrix with the supplied row and column dimensions.

Array2DRowFieldMatrix(T[]) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix

Create a new (column) FieldMatrix using v as the data for the unique column of the v.length x 1 matrix created.

Array2DRowFieldMatrix(T[][]) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix

Create a new FieldMatrix using the input array as the underlying data array.

Array2DRowFieldMatrix(T[][], boolean) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix

Create a new FieldMatrix using the input array as the underlying data array.

Array2DRowRealMatrix - Class in org.apache.commons.math.linear

Implementation of RealMatrix using a double[][] array to store entries and LU decomposition to support linear system solution and inverse.

Array2DRowRealMatrix() - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix

Creates a matrix with no data

Array2DRowRealMatrix(double[]) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix

Create a new (column) RealMatrix using v as the data for the unique column of the v.length x 1 matrix created.

Array2DRowRealMatrix(double[][]) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix

Create a new RealMatrix using the input array as the underlying data array.

Array2DRowRealMatrix(double[][], boolean) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix

Create a new RealMatrix using the input array as the underlying data array.

Array2DRowRealMatrix(int, int) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix

Create a new RealMatrix with the supplied row and column dimensions.

ArrayFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math.linear

This class implements the FieldVector interface with a FieldElement array.

ArrayFieldVector(int, T) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Construct an (size)-length vector with preset values.

ArrayFieldVector(Field<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Build a 0-length vector.

ArrayFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Construct a (size)-length vector of zeros.

ArrayFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Construct a vector from an array, copying the input array.

ArrayFieldVector(Field<T>, T[], boolean) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Create a new ArrayFieldVector using the input array as the underlying data array.

ArrayFieldVector(Field<T>, T[], T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Construct a vector by appending one vector to another vector.

ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Construct a vector from another vector, using a deep copy.

ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Construct a vector from another vector.

ArrayFieldVector(ArrayFieldVector<T>, ArrayFieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Construct a vector by appending one vector to another vector.

ArrayFieldVector(ArrayFieldVector<T>, T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Construct a vector by appending one vector to another vector.

ArrayFieldVector(FieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Construct a vector from another vector, using a deep copy.

ArrayFieldVector(T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Construct a vector from an array, copying the input array.

ArrayFieldVector(T[], boolean) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Create a new ArrayFieldVector using the input array as the underlying data array.

ArrayFieldVector(T[], int, int) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Construct a vector from part of a array.

ArrayFieldVector(T[], ArrayFieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Construct a vector by appending one vector to another vector.

ArrayFieldVector(T[], T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector

Construct a vector by appending one vector to another vector.

ArrayRealVector - Class in org.apache.commons.math.linear

This class implements the RealVector interface with a double array.

ArrayRealVector() - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Build a 0-length vector.

ArrayRealVector(double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Construct a vector from an array, copying the input array.

ArrayRealVector(double[], boolean) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Create a new ArrayRealVector using the input array as the underlying data array.

ArrayRealVector(double[], double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Construct a vector by appending one vector to another vector.

ArrayRealVector(double[], int, int) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Construct a vector from part of a array.

ArrayRealVector(double[], ArrayRealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Construct a vector by appending one vector to another vector.

ArrayRealVector(int) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Construct a (size)-length vector of zeros.

ArrayRealVector(int, double) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Construct an (size)-length vector with preset values.

ArrayRealVector(Double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Construct a vector from an array.

ArrayRealVector(Double[], int, int) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Construct a vector from part of a Double array

ArrayRealVector(ArrayRealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Construct a vector from another vector, using a deep copy.

ArrayRealVector(ArrayRealVector, boolean) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Construct a vector from another vector.

ArrayRealVector(ArrayRealVector, double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Construct a vector by appending one vector to another vector.

ArrayRealVector(ArrayRealVector, ArrayRealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Construct a vector by appending one vector to another vector.

ArrayRealVector(ArrayRealVector, RealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Construct a vector by appending one vector to another vector.

ArrayRealVector(RealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Construct a vector from another vector, using a deep copy.

ArrayRealVector(RealVector, ArrayRealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector

Construct a vector by appending one vector to another vector.

asCollector() - Method in class org.apache.commons.math.analysis.ComposableFunction

Generates a function that iteratively apply instance function on all elements of an array.

asCollector(double) - Method in class org.apache.commons.math.analysis.ComposableFunction

Generates a function that iteratively apply instance function on all elements of an array.

asCollector(BivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction

Generates a function that iteratively apply instance function on all elements of an array.

asCollector(BivariateRealFunction, double) - Method in class org.apache.commons.math.analysis.ComposableFunction

Generates a function that iteratively apply instance function on all elements of an array.

asin() - Method in class org.apache.commons.math.complex.Complex

Compute the inverse sine of this complex number.

asin(double) - Static method in class org.apache.commons.math.util.FastMath

Compute the arc sine of a number.

asin(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath

computes the arc-sine of the argument.

ASIN - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.asin method wrapped as a ComposableFunction.

asinh(double) - Static method in class org.apache.commons.math.util.FastMath

Compute the inverse hyperbolic sine of a number.

ASSYMETRIC_EIGEN_NOT_SUPPORTED - org.apache.commons.math.exception.util.LocalizedFormats

AT_LEAST_ONE_COLUMN - org.apache.commons.math.exception.util.LocalizedFormats

AT_LEAST_ONE_ROW - org.apache.commons.math.exception.util.LocalizedFormats

atan() - Method in class org.apache.commons.math.complex.Complex

Compute the inverse tangent of this complex number.

atan(double) - Static method in class org.apache.commons.math.util.FastMath

Arctangent function

atan(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath

computes the arc tangent of the argument Uses the typical taylor series but may reduce arguments using the following identity tan(x+y) = (tan(x) + tan(y)) / (1 - tan(x)*tan(y)) since tan(PI/8) = sqrt(2)-1, atan(x) = atan( (x - sqrt(2) + 1) / (1+x*sqrt(2) - x) + PI/8.0

ATAN - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.atan method wrapped as a ComposableFunction.

atan2(double, double) - Static method in class org.apache.commons.math.util.FastMath

Two arguments arctangent function

ATAN2 - Static variable in class org.apache.commons.math.analysis.BinaryFunction

Deprecated.

The FastMath.atan2 method wrapped as a BinaryFunction.

atanh(double) - Static method in class org.apache.commons.math.util.FastMath

Compute the inverse hyperbolic tangent of a number.

atanInternal(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath

computes the arc-tangent of the argument.

AVERAGE - org.apache.commons.math.stat.ranking.TiesStrategy

Ties get the average of applicable ranks

B

BANDWIDTH_OUT_OF_INTERVAL - org.apache.commons.math.exception.util.LocalizedFormats

Beta - Class in org.apache.commons.math.special

This is a utility class that provides computation methods related to the Beta family of functions.

BetaDistribution - Interface in org.apache.commons.math.distribution

Computes the cumulative, inverse cumulative and density functions for the beta distribuiton.

BetaDistributionImpl - Class in org.apache.commons.math.distribution

Implements the Beta distribution.

BetaDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.BetaDistributionImpl

Build a new instance.

BetaDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.BetaDistributionImpl

Build a new instance.

BicubicSplineInterpolatingFunction - Class in org.apache.commons.math.analysis.interpolation

Function that implements the bicubic spline interpolation.

BicubicSplineInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][]) - Constructor for class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction

BicubicSplineInterpolator - Class in org.apache.commons.math.analysis.interpolation

Generates a bicubic interpolating function.

BicubicSplineInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolator

bigDecimalValue() - Method in class org.apache.commons.math.fraction.BigFraction

Gets the fraction as a BigDecimal.

bigDecimalValue() - Method in class org.apache.commons.math.util.BigReal

Get the BigDecimal value corresponding to the instance.

bigDecimalValue(int) - Method in class org.apache.commons.math.fraction.BigFraction

Gets the fraction as a BigDecimal following the passed rounding mode.

bigDecimalValue(int, int) - Method in class org.apache.commons.math.fraction.BigFraction

Gets the fraction as a BigDecimal following the passed scale and rounding mode.

BigFraction - Class in org.apache.commons.math.fraction

Representation of a rational number without any overflow.

BigFraction(double) - Constructor for class org.apache.commons.math.fraction.BigFraction

Create a fraction given the double value.

BigFraction(double, double, int) - Constructor for class org.apache.commons.math.fraction.BigFraction

Create a fraction given the double value and maximum error allowed.

BigFraction(double, int) - Constructor for class org.apache.commons.math.fraction.BigFraction

Create a fraction given the double value and maximum denominator.

BigFraction(int) - Constructor for class org.apache.commons.math.fraction.BigFraction

Create a BigFraction equivalent to the passed int, ie "num / 1".

BigFraction(int, int) - Constructor for class org.apache.commons.math.fraction.BigFraction

Create a BigFraction given the numerator and denominator as simple int.

BigFraction(long) - Constructor for class org.apache.commons.math.fraction.BigFraction

Create a BigFraction equivalent to the passed long, ie "num / 1".

BigFraction(long, long) - Constructor for class org.apache.commons.math.fraction.BigFraction

Create a BigFraction given the numerator and denominator as simple long.

BigFraction(BigInteger) - Constructor for class org.apache.commons.math.fraction.BigFraction

Create a BigFraction equivalent to the passed BigInteger, ie "num / 1".

BigFraction(BigInteger, BigInteger) - Constructor for class org.apache.commons.math.fraction.BigFraction

Create a BigFraction given the numerator and denominator as BigInteger.

BigFractionField - Class in org.apache.commons.math.fraction

Representation of the fractional numbers without any overflow field.

BigFractionFormat - Class in org.apache.commons.math.fraction

Formats a BigFraction number in proper format or improper format.

BigFractionFormat() - Constructor for class org.apache.commons.math.fraction.BigFractionFormat

Create an improper formatting instance with the default number format for the numerator and denominator.

BigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.BigFractionFormat

Create an improper formatting instance with a custom number format for both the numerator and denominator.

BigFractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.BigFractionFormat

Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.

bigFractionMatrixToRealMatrix(FieldMatrix<BigFraction>) - Static method in class org.apache.commons.math.linear.MatrixUtils

Convert a FieldMatrix/BigFraction matrix to a RealMatrix.

BigMatrix - Interface in org.apache.commons.math.linear

Deprecated.

as of 2.0, replaced by FieldMatrix with a BigReal parameter

BigMatrixImpl - Class in org.apache.commons.math.linear

Deprecated.

as of 2.0, replaced by Array2DRowFieldMatrix with a BigReal parameter

BigMatrixImpl() - Constructor for class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Creates a matrix with no data

BigMatrixImpl(double[][]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Create a new BigMatrix using d as the underlying data array.

BigMatrixImpl(int, int) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Create a new BigMatrix with the supplied row and column dimensions.

BigMatrixImpl(String[][]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Create a new BigMatrix using the values represented by the strings in d as the underlying data array.

BigMatrixImpl(BigDecimal[]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Create a new (column) BigMatrix using v as the data for the unique column of the v.length x 1 matrix created.

BigMatrixImpl(BigDecimal[][]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Create a new BigMatrix using d as the underlying data array.

BigMatrixImpl(BigDecimal[][], boolean) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Create a new BigMatrix using the input array as the underlying data array.

BigReal - Class in org.apache.commons.math.util

Arbitrary precision decimal number.

BigReal(char[]) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from a characters representation.

BigReal(char[], int, int) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from a characters representation.

BigReal(char[], int, int, MathContext) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from a characters representation.

BigReal(char[], MathContext) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from a characters representation.

BigReal(double) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from a double.

BigReal(double, MathContext) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from a double.

BigReal(int) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from an int.

BigReal(int, MathContext) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from an int.

BigReal(long) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from a long.

BigReal(long, MathContext) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from a long.

BigReal(String) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from a String representation.

BigReal(String, MathContext) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from a String representation.

BigReal(BigDecimal) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from a BigDecimal.

BigReal(BigInteger) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from a BigInteger.

BigReal(BigInteger, int) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from an unscaled BigInteger.

BigReal(BigInteger, int, MathContext) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from an unscaled BigInteger.

BigReal(BigInteger, MathContext) - Constructor for class org.apache.commons.math.util.BigReal

Build an instance from a BigInteger.

BigRealField - Class in org.apache.commons.math.util

Representation of real numbers with arbitrary precision field.

BinaryChromosome - Class in org.apache.commons.math.genetics

Chromosome represented by a vector of 0s and 1s.

BinaryChromosome(Integer[]) - Constructor for class org.apache.commons.math.genetics.BinaryChromosome

Constructor.

BinaryChromosome(List<Integer>) - Constructor for class org.apache.commons.math.genetics.BinaryChromosome

Constructor.

BinaryFunction - Class in org.apache.commons.math.analysis

Deprecated.

in 2.2

BinaryFunction() - Constructor for class org.apache.commons.math.analysis.BinaryFunction

Deprecated.

BinaryMutation - Class in org.apache.commons.math.genetics

Mutation for BinaryChromosomes.

BinaryMutation() - Constructor for class org.apache.commons.math.genetics.BinaryMutation

BINOMIAL_INVALID_PARAMETERS_ORDER - org.apache.commons.math.exception.util.LocalizedFormats

BINOMIAL_NEGATIVE_PARAMETER - org.apache.commons.math.exception.util.LocalizedFormats

binomialCoefficient(int, int) - Static method in class org.apache.commons.math.util.MathUtils

Returns an exact representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.

binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math.util.MathUtils

Returns a double representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.

binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math.util.MathUtils

Returns the natural log of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.

BinomialDistribution - Interface in org.apache.commons.math.distribution

The Binomial Distribution.

BinomialDistributionImpl - Class in org.apache.commons.math.distribution

The default implementation of BinomialDistribution.

BinomialDistributionImpl(int, double) - Constructor for class org.apache.commons.math.distribution.BinomialDistributionImpl

Create a binomial distribution with the given number of trials and probability of success.

BisectionSolver - Class in org.apache.commons.math.analysis.solvers

Implements the bisection algorithm for finding zeros of univariate real functions.

BisectionSolver() - Constructor for class org.apache.commons.math.analysis.solvers.BisectionSolver

Construct a solver.

BisectionSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.BisectionSolver

Deprecated.

as of 2.0 the function to solve is passed as an argument to the BisectionSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.

BitsStreamGenerator - Class in org.apache.commons.math.random

Base class for random number generators that generates bits streams.

BitsStreamGenerator() - Constructor for class org.apache.commons.math.random.BitsStreamGenerator

Creates a new random number generator.

BivariateRealFunction - Interface in org.apache.commons.math.analysis

An interface representing a bivariate real function.

BivariateRealGridInterpolator - Interface in org.apache.commons.math.analysis.interpolation

Interface representing a bivariate real interpolating function where the sample points must be specified on a regular grid.

BLOCK_SIZE - Static variable in class org.apache.commons.math.linear.BlockFieldMatrix

Block size.

BLOCK_SIZE - Static variable in class org.apache.commons.math.linear.BlockRealMatrix

Block size.

BlockFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math.linear

Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix.

BlockFieldMatrix(int, int, T[][], boolean) - Constructor for class org.apache.commons.math.linear.BlockFieldMatrix

Create a new dense matrix copying entries from block layout data.

BlockFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.BlockFieldMatrix

Create a new matrix with the supplied row and column dimensions.

BlockFieldMatrix(T[][]) - Constructor for class org.apache.commons.math.linear.BlockFieldMatrix

Create a new dense matrix copying entries from raw layout data.

BlockRealMatrix - Class in org.apache.commons.math.linear

Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.

BlockRealMatrix(double[][]) - Constructor for class org.apache.commons.math.linear.BlockRealMatrix

Create a new dense matrix copying entries from raw layout data.

BlockRealMatrix(int, int) - Constructor for class org.apache.commons.math.linear.BlockRealMatrix

Create a new matrix with the supplied row and column dimensions.

BlockRealMatrix(int, int, double[][], boolean) - Constructor for class org.apache.commons.math.linear.BlockRealMatrix

Create a new dense matrix copying entries from block layout data.

bracket(UnivariateRealFunction, double, double, double) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils

This method attempts to find two values a and b satisfying lowerBound <= a < initial < b <= upperBound f(a) * f(b) < 0 If f is continuous on [a,b], this means that a and b bracket a root of f.

bracket(UnivariateRealFunction, double, double, double, int) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils

This method attempts to find two values a and b satisfying lowerBound <= a < initial < b <= upperBound f(a) * f(b) <= 0 If f is continuous on [a,b], this means that a and b bracket a root of f.

BracketFinder - Class in org.apache.commons.math.optimization.univariate

Provide an interval that brackets a local optimum of a function.

BracketFinder() - Constructor for class org.apache.commons.math.optimization.univariate.BracketFinder

Constructor with default values 100, 50 (see the other constructor).

BracketFinder(double, int) - Constructor for class org.apache.commons.math.optimization.univariate.BracketFinder

Create a bracketing interval finder.

BrentOptimizer - Class in org.apache.commons.math.optimization.univariate

Implements Richard Brent's algorithm (from his book "Algorithms for Minimization without Derivatives", p.

BrentOptimizer() - Constructor for class org.apache.commons.math.optimization.univariate.BrentOptimizer

Construct a solver.

BrentSolver - Class in org.apache.commons.math.analysis.solvers

Implements the Brent algorithm for finding zeros of real univariate functions.

BrentSolver() - Constructor for class org.apache.commons.math.analysis.solvers.BrentSolver

Deprecated.

in 2.2 (to be removed in 3.0).

BrentSolver(double) - Constructor for class org.apache.commons.math.analysis.solvers.BrentSolver

Construct a solver with the given absolute accuracy.

BrentSolver(int, double) - Constructor for class org.apache.commons.math.analysis.solvers.BrentSolver

Contstruct a solver with the given maximum iterations and absolute accuracy.

BrentSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.BrentSolver

Deprecated.

as of 2.0 the function to solve is passed as an argument to the BrentSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.

buildArray(Field<T>, int) - Static method in class org.apache.commons.math.linear.AbstractFieldMatrix

Build an array of elements.

buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math.linear.AbstractFieldMatrix

Build an array of elements.

buildMessage(Locale, Localizable, Object...) - Static method in class org.apache.commons.math.exception.util.MessageFactory

Builds a message string by from a pattern and its arguments.

buildMessage(Locale, Localizable, Localizable, Object...) - Static method in class org.apache.commons.math.exception.util.MessageFactory

Builds a message string by from two patterns (specific and general) and an argument list.

C

calculateAdjustedRSquared() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression

Returns the adjusted R-squared statistic, defined by the formula

calculateBeta() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Calculates the beta of multiple linear regression in matrix notation.

calculateBeta() - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression

Calculates beta by GLS.

calculateBeta() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression

Calculates the regression coefficients using OLS.

calculateBetaVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Calculates the beta variance of multiple linear regression in matrix notation.

calculateBetaVariance() - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression

Calculates the variance on the beta.

calculateBetaVariance() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression

Calculates the variance-covariance matrix of the regression parameters.

calculateErrorVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Calculates the variance of the error term.

calculateErrorVariance() - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression

Calculates the estimated variance of the error term using the formula

calculateHat() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression

Compute the "hat" matrix.

calculateNumericalMean() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

Calculates the mean.

calculateResiduals() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Calculates the residuals of multiple linear regression in matrix notation.

calculateResidualSumOfSquares() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression

Returns the sum of squared residuals.

calculateRSquared() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression

Returns the R-Squared statistic, defined by the formula

calculateTotalSumOfSquares() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression

Returns the sum of squared deviations of Y from its mean.

calculateYVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Calculates the variance of the y values.

CANNOT_CLEAR_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_COMPUTE_0TH_ROOT_OF_UNITY - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_COMPUTE_BETA_DENSITY_AT_0_FOR_SOME_ALPHA - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_COMPUTE_BETA_DENSITY_AT_1_FOR_SOME_BETA - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_COMPUTE_NTH_ROOT_FOR_NEGATIVE_N - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_CONVERT_OBJECT_TO_FRACTION - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_DISCARD_NEGATIVE_NUMBER_OF_ELEMENTS - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_FORMAT_INSTANCE_AS_3D_VECTOR - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_FORMAT_INSTANCE_AS_COMPLEX - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_FORMAT_INSTANCE_AS_REAL_VECTOR - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_FORMAT_OBJECT_TO_FRACTION - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_INCREMENT_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_NORMALIZE_A_ZERO_NORM_VECTOR - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_RETRIEVE_AT_NEGATIVE_INDEX - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_SET_AT_NEGATIVE_INDEX - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_SUBSTITUTE_ELEMENT_FROM_EMPTY_ARRAY - org.apache.commons.math.exception.util.LocalizedFormats

CANNOT_TRANSFORM_TO_DOUBLE - org.apache.commons.math.exception.util.LocalizedFormats

CARDAN_ANGLES_SINGULARITY - org.apache.commons.math.exception.util.LocalizedFormats

CardanEulerSingularityException - Exception in org.apache.commons.math.geometry

This class represents exceptions thrown while extractiong Cardan or Euler angles from a rotation.

CardanEulerSingularityException(boolean) - Constructor for exception org.apache.commons.math.geometry.CardanEulerSingularityException

Simple constructor.

CauchyDistribution - Interface in org.apache.commons.math.distribution

Cauchy Distribution.

CauchyDistributionImpl - Class in org.apache.commons.math.distribution

Default implementation of CauchyDistribution.

CauchyDistributionImpl() - Constructor for class org.apache.commons.math.distribution.CauchyDistributionImpl

Creates cauchy distribution with the medain equal to zero and scale equal to one.

CauchyDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.CauchyDistributionImpl

Create a cauchy distribution using the given median and scale.

CauchyDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.CauchyDistributionImpl

Create a cauchy distribution using the given median and scale.

cbrt(double) - Static method in class org.apache.commons.math.util.FastMath

Compute the cubic root of a number.

CBRT - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.cbrt method wrapped as a ComposableFunction.

ceil() - Method in class org.apache.commons.math.dfp.Dfp

Round to an integer using the round ceil mode.

ceil(double) - Static method in class org.apache.commons.math.util.FastMath

Get the smallest whole number larger than x.

CEIL - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.ceil method wrapped as a ComposableFunction.

centroidOf(Collection<EuclideanIntegerPoint>) - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint

Returns the centroid of the given Collection of points.

centroidOf(Collection<T>) - Method in interface org.apache.commons.math.stat.clustering.Clusterable

Returns the centroid of the given Collection of points.

checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math.linear.MatrixUtils

Check if matrices are addition compatible

checkAdditionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Check if a matrix is addition compatible with the instance

checkColumnIndex(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Check if a column index is valid.

checkColumnIndex(AnyMatrix, int) - Static method in class org.apache.commons.math.linear.MatrixUtils

Check if a column index is valid.

checkContractExpand(float, float) - Method in class org.apache.commons.math.util.ResizableDoubleArray

Checks the expansion factor and the contraction criteria and throws an IllegalArgumentException if the contractionCriteria is less than the expansionCriteria

checker - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Convergence checker.

checker - Variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Deprecated.

checkIndex(int) - Method in class org.apache.commons.math.linear.AbstractRealVector

Check if an index is valid.

checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math.linear.MatrixUtils

Check if matrices are multiplication compatible

checkMultiplicationCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Check if a matrix is multiplication compatible with the instance

checkOrder(double[]) - Static method in class org.apache.commons.math.util.MathUtils

Checks that the given array is sorted in strictly increasing order.

checkOrder(double[], int, boolean) - Static method in class org.apache.commons.math.util.MathUtils

Deprecated.

as of 2.2 (please use the new checkOrder method). To be removed in 3.0.

checkOrder(double[], MathUtils.OrderDirection, boolean) - Static method in class org.apache.commons.math.util.MathUtils

Checks that the given array is sorted.

checkResultComputed() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Check if a result has been computed.

checkResultComputed() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Deprecated.

in 2.2 (no alternative).

checkRowIndex(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Check if a row index is valid.

checkRowIndex(AnyMatrix, int) - Static method in class org.apache.commons.math.linear.MatrixUtils

Check if a row index is valid.

checkSubMatrixIndex(int[], int[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Check if submatrix ranges indices are valid.

checkSubMatrixIndex(int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Check if submatrix ranges indices are valid.

checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Check if submatrix ranges indices are valid.

checkSubMatrixIndex(AnyMatrix, int, int, int, int) - Static method in class org.apache.commons.math.linear.MatrixUtils

Check if submatrix ranges indices are valid.

checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math.linear.MatrixUtils

Check if matrices are subtraction compatible

checkSubtractionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Check if a matrix is subtraction compatible with the instance

checkValidity(List<Double>) - Method in class org.apache.commons.math.genetics.RandomKey

Asserts that representation can represent a valid chromosome.

checkValidity(List<Integer>) - Method in class org.apache.commons.math.genetics.BinaryChromosome

Asserts that representation can represent a valid chromosome.

checkValidity(List<T>) - Method in class org.apache.commons.math.genetics.AbstractListChromosome

Asserts that representation can represent a valid chromosome.

checkVectorDimensions(int) - Method in class org.apache.commons.math.linear.AbstractRealVector

Check if instance dimension is equal to some expected value.

checkVectorDimensions(int) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Check if instance dimension is equal to some expected value.

checkVectorDimensions(int) - Method in class org.apache.commons.math.linear.ArrayRealVector

Check if instance dimension is equal to some expected value.

checkVectorDimensions(int) - Method in class org.apache.commons.math.linear.SparseFieldVector

Check if instance dimension is equal to some expected value.

checkVectorDimensions(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Check if instance and specified vectors have the same dimension.

checkVectorDimensions(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector

Check if instance and specified vectors have the same dimension.

checkVectorDimensions(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Check if instance and specified vectors have the same dimension.

chiSquare(double[], long[]) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest

Computes the Chi-Square statistic comparing observed and expected frequency counts.

chiSquare(double[], long[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl

Computes the Chi-Square statistic comparing observed and expected frequency counts.

chiSquare(double[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils

chiSquare(long[][]) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest

Computes the Chi-Square statistic associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.

chiSquare(long[][]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl

chiSquare(long[][]) - Static method in class org.apache.commons.math.stat.inference.TestUtils

chiSquareDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl

chiSquareDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils

chiSquareDataSetsComparison(long[], long[]) - Method in interface org.apache.commons.math.stat.inference.UnknownDistributionChiSquareTest

Computes a Chi-Square two sample test statistic comparing bin frequency counts in observed1 and observed2.

ChiSquaredDistribution - Interface in org.apache.commons.math.distribution

The Chi-Squared Distribution.

ChiSquaredDistributionImpl - Class in org.apache.commons.math.distribution

The default implementation of ChiSquaredDistribution

ChiSquaredDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Create a Chi-Squared distribution with the given degrees of freedom.

ChiSquaredDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Create a Chi-Squared distribution with the given degrees of freedom and inverse cumulative probability accuracy.

ChiSquaredDistributionImpl(double, GammaDistribution) - Constructor for class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Deprecated.

as of 2.1 (to avoid possibly inconsistent state, the "GammaDistribution" will be instantiated internally)

chiSquareTest(double[], long[]) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest

Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the observed frequency counts to those in the expected array.

chiSquareTest(double[], long[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl

Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the observed frequency counts to those in the expected array.

chiSquareTest(double[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils

chiSquareTest(double[], long[], double) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest

Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.

chiSquareTest(double[], long[], double) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl

Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.

chiSquareTest(double[], long[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils

chiSquareTest(long[][]) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest

Returns the observed significance level, or p-value, associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.

chiSquareTest(long[][]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl

chiSquareTest(long[][]) - Static method in class org.apache.commons.math.stat.inference.TestUtils

chiSquareTest(long[][], double) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest

Performs a chi-square test of independence evaluating the null hypothesis that the classifications represented by the counts in the columns of the input 2-way table are independent of the rows, with significance level alpha.

chiSquareTest(long[][], double) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl

chiSquareTest(long[][], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils

ChiSquareTest - Interface in org.apache.commons.math.stat.inference

An interface for Chi-Square tests.

chiSquareTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl

chiSquareTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils

chiSquareTestDataSetsComparison(long[], long[]) - Method in interface org.apache.commons.math.stat.inference.UnknownDistributionChiSquareTest

Returns the observed significance level, or p-value, associated with a Chi-Square two sample test comparing bin frequency counts in observed1 and observed2.

chiSquareTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl

chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils

chiSquareTestDataSetsComparison(long[], long[], double) - Method in interface org.apache.commons.math.stat.inference.UnknownDistributionChiSquareTest

Performs a Chi-Square two sample test comparing two binned data sets.

ChiSquareTestImpl - Class in org.apache.commons.math.stat.inference

Implements Chi-Square test statistics defined in the UnknownDistributionChiSquareTest interface.

ChiSquareTestImpl() - Constructor for class org.apache.commons.math.stat.inference.ChiSquareTestImpl

Construct a ChiSquareTestImpl

ChiSquareTestImpl(ChiSquaredDistribution) - Constructor for class org.apache.commons.math.stat.inference.ChiSquareTestImpl

Create a test instance using the given distribution for computing inference statistics.

CholeskyDecomposition - Interface in org.apache.commons.math.linear

An interface to classes that implement an algorithm to calculate the Cholesky decomposition of a real symmetric positive-definite matrix.

CholeskyDecompositionImpl - Class in org.apache.commons.math.linear

Calculates the Cholesky decomposition of a matrix.

CholeskyDecompositionImpl(RealMatrix) - Constructor for class org.apache.commons.math.linear.CholeskyDecompositionImpl

Calculates the Cholesky decomposition of the given matrix.

CholeskyDecompositionImpl(RealMatrix, double, double) - Constructor for class org.apache.commons.math.linear.CholeskyDecompositionImpl

Calculates the Cholesky decomposition of the given matrix.

Chromosome - Class in org.apache.commons.math.genetics

Individual in a population.

Chromosome() - Constructor for class org.apache.commons.math.genetics.Chromosome

ChromosomePair - Class in org.apache.commons.math.genetics

A pair of Chromosome objects.

ChromosomePair(Chromosome, Chromosome) - Constructor for class org.apache.commons.math.genetics.ChromosomePair

Create a chromosome pair.

CLASS_DOESNT_IMPLEMENT_COMPARABLE - org.apache.commons.math.exception.util.LocalizedFormats

classes() - Method in class org.apache.commons.math.util.TransformerMap

Returns the Set of Classes used as keys in the map.

ClassicalRungeKuttaIntegrator - Class in org.apache.commons.math.ode.nonstiff

This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method).

ClassicalRungeKuttaIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.ClassicalRungeKuttaIntegrator

Simple constructor.

classify() - Method in class org.apache.commons.math.dfp.Dfp

Returns the type - one of FINITE, INFINITE, SNAN, QNAN.

clear() - Method in class org.apache.commons.math.random.AbstractRandomGenerator

Clears the cache used by the default implementation of AbstractRandomGenerator.nextGaussian().

clear() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Resets all statistics and storage

clear() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Resets all statistics and storage

clear() - Method in class org.apache.commons.math.stat.descriptive.rank.Max

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.rank.Min

Clears the internal state of the Statistic

clear() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.summary.Product

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares

Clears the internal state of the Statistic

clear() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Resets all statistics and storage

clear() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

Resets all statistics and storage

clear() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Resets all statistics and storage

clear() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Resets all statistics and storage

clear() - Method in class org.apache.commons.math.stat.Frequency

Clears the frequency table

clear() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Clears all data from the model.

clear() - Method in interface org.apache.commons.math.util.DoubleArray

Clear the double array

clear() - Method in class org.apache.commons.math.util.ResizableDoubleArray

Clear the array, reset the size to the initialCapacity and the number of elements to zero.

clear() - Method in class org.apache.commons.math.util.TransformerMap

Clears all the Class to Transformer mappings.

clearEventHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator

Remove all the event handlers that have been added to the integrator.

clearEventHandlers() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians

Deprecated.

Remove all the event handlers that have been added to the integrator.

clearEventHandlers() - Method in interface org.apache.commons.math.ode.ODEIntegrator

Remove all the event handlers that have been added to the integrator.

clearEventsHandlers() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager

Deprecated.

Remove all the events handlers that have been added to the manager.

clearIEEEFlags() - Method in class org.apache.commons.math.dfp.DfpField

Clears the IEEE 854 status flags.

clearObservations() - Method in class org.apache.commons.math.optimization.fitting.CurveFitter

Remove all observations.

clearObservations() - Method in class org.apache.commons.math.optimization.fitting.PolynomialFitter

Remove all observations.

clearResult() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl

Convenience function for implementations.

clearResult() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Convenience function for implementations.

clearResult() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Deprecated.

in 2.2 (no alternative).

clearStepHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator

Remove all the step handlers that have been added to the integrator.

clearStepHandlers() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians

Deprecated.

Remove all the step handlers that have been added to the integrator.

clearStepHandlers() - Method in interface org.apache.commons.math.ode.ODEIntegrator

Remove all the step handlers that have been added to the integrator.

closeReplayFile() - Method in class org.apache.commons.math.random.ValueServer

Closes valuesFileURL after use in REPLAY_MODE.

CLOSEST_ORTHOGONAL_MATRIX_HAS_NEGATIVE_DETERMINANT - org.apache.commons.math.exception.util.LocalizedFormats

cluster(Collection<T>, int, int) - Method in class org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer

Runs the K-means++ clustering algorithm.

Cluster<T extends Clusterable<T>> - Class in org.apache.commons.math.stat.clustering

Cluster holding a set of Clusterable points.

Cluster(T) - Constructor for class org.apache.commons.math.stat.clustering.Cluster

Build a cluster centered at a specified point.

Clusterable<T> - Interface in org.apache.commons.math.stat.clustering

Interface for points that can be clustered together.

cols - Variable in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Number of columns of the jacobian matrix.

cols - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Number of columns of the jacobian matrix.

COLUMN_INDEX_OUT_OF_RANGE - org.apache.commons.math.exception.util.LocalizedFormats

combine(UnivariateRealFunction, BivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction

Return a function combining the instance and another function.

CombinedEventsManager - Class in org.apache.commons.math.ode.events

Deprecated.

as of 2.2, this class is not used anymore

CombinedEventsManager() - Constructor for class org.apache.commons.math.ode.events.CombinedEventsManager

Deprecated.

Simple constructor.

comparatorPermutation(List<S>, Comparator<S>) - Static method in class org.apache.commons.math.genetics.RandomKey

Generates a representation of a permutation corresponding to the data sorted by comparator.

compareTo(double, double, double) - Static method in class org.apache.commons.math.util.MathUtils

Compares two numbers given some amount of allowed error.

compareTo(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction

Compares this object to another based on size.

compareTo(Fraction) - Method in class org.apache.commons.math.fraction.Fraction

Compares this object to another based on size.

compareTo(Chromosome) - Method in class org.apache.commons.math.genetics.Chromosome

Compares two chromosomes based on their fitness.

compareTo(BigReal) - Method in class org.apache.commons.math.util.BigReal

complement(int) - Method in class org.apache.commons.math.dfp.Dfp

Negate the mantissa of this by computing the complement.

Complex - Class in org.apache.commons.math.complex

Representation of a Complex number - a number which has both a real and imaginary part.

Complex(double, double) - Constructor for class org.apache.commons.math.complex.Complex

Create a complex number given the real and imaginary parts.

ComplexField - Class in org.apache.commons.math.complex

Representation of the complex numbers field.

ComplexFormat - Class in org.apache.commons.math.complex

Formats a Complex number in cartesian format "Re(c) + Im(c)i".

ComplexFormat() - Constructor for class org.apache.commons.math.complex.ComplexFormat

Create an instance with the default imaginary character, 'i', and the default number format for both real and imaginary parts.

ComplexFormat(String) - Constructor for class org.apache.commons.math.complex.ComplexFormat

Create an instance with a custom imaginary character, and the default number format for both real and imaginary parts.

ComplexFormat(String, NumberFormat) - Constructor for class org.apache.commons.math.complex.ComplexFormat

Create an instance with a custom imaginary character, and a custom number format for both real and imaginary parts.

ComplexFormat(String, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.complex.ComplexFormat

Create an instance with a custom imaginary character, a custom number format for the real part, and a custom number format for the imaginary part.

ComplexFormat(NumberFormat) - Constructor for class org.apache.commons.math.complex.ComplexFormat

Create an instance with a custom number format for both real and imaginary parts.

ComplexFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.complex.ComplexFormat

Create an instance with a custom number format for the real part and a custom number format for the imaginary part.

ComplexUtils - Class in org.apache.commons.math.complex

Static implementations of common Complex utilities functions.

ComposableFunction - Class in org.apache.commons.math.analysis

Base class for UnivariateRealFunction that can be composed with other functions.

ComposableFunction() - Constructor for class org.apache.commons.math.analysis.ComposableFunction

CompositeFormat - Class in org.apache.commons.math.util

Base class for formatters of composite objects (complex numbers, vectors ...).

CompositeFormat() - Constructor for class org.apache.commons.math.util.CompositeFormat

computeCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm

Calculate the coefficients of Lagrange polynomial from the interpolation data.

computeCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm

Calculate the normal polynomial coefficients given the Newton form.

computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation

Computes the correlation matrix for the columns of the input rectangular array.

computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation

Computes the Spearman's rank correlation matrix for the columns of the input rectangular array.

computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation

Computes the correlation matrix for the columns of the input matrix.

computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation

Computes the Spearman's rank correlation matrix for the columns of the input matrix.

computeCovarianceMatrix(double[][]) - Method in class org.apache.commons.math.stat.correlation.Covariance

Create a covariance matrix from a rectangual array whose columns represent covariates.

computeCovarianceMatrix(double[][], boolean) - Method in class org.apache.commons.math.stat.correlation.Covariance

Compute a covariance matrix from a rectangular array whose columns represent covariates.

computeCovarianceMatrix(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.Covariance

Create a covariance matrix from a matrix whose columns represent covariates.

computeCovarianceMatrix(RealMatrix, boolean) - Method in class org.apache.commons.math.stat.correlation.Covariance

Compute a covariance matrix from a matrix whose columns represent covariates.

computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math.ode.AbstractIntegrator

Compute the derivatives and check the number of evaluations.

computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math.ode.FirstOrderConverter

Get the current time derivative of the state vector.

computeDerivatives(double, double[], double[]) - Method in interface org.apache.commons.math.ode.FirstOrderDifferentialEquations

Get the current time derivative of the state vector.

computeDistribution() - Method in class org.apache.commons.math.random.ValueServer

Computes the empirical distribution using values from the file in valuesFileURL, using the default number of bins.

computeDistribution(int) - Method in class org.apache.commons.math.random.ValueServer

Computes the empirical distribution using values from the file in valuesFileURL and binCount bins.

computeDividedDifference(double[], double[]) - Static method in class org.apache.commons.math.analysis.interpolation.DividedDifferenceInterpolator

Returns a copy of the divided difference array.

computeExp(Dfp, Dfp) - Static method in class org.apache.commons.math.dfp.DfpField

Compute exp(a).

computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Compute the state and derivatives at the interpolated time.

computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.sampling.DummyStepInterpolator

Compute the state at the interpolated time.

computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator

Compute the state and derivatives at the interpolated time.

computeJacobians(double, double[], double[], double[][], double[][]) - Method in interface org.apache.commons.math.ode.jacobians.ODEWithJacobians

Deprecated.

Compute the partial derivatives of ODE with respect to state.

computeLn(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math.dfp.DfpField

Compute ln(a).

computeObjectiveGradient(double[]) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Compute the gradient vector.

computeObjectiveValue(double) - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Compute the objective function value.

computeObjectiveValue(double[]) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Compute the objective function value.

computeObjectiveValue(UnivariateRealFunction, double) - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Deprecated.

in 2.2. Use this replacement instead.

computeSecondDerivatives(double, double[], double[], double[]) - Method in interface org.apache.commons.math.ode.SecondOrderDifferentialEquations

Get the current time derivative of the state vector.

computeStepGrowShrinkFactor(double) - Method in class org.apache.commons.math.ode.MultistepIntegrator

Compute step grow/shrink factor according to normalized error.

conjugate() - Method in class org.apache.commons.math.complex.Complex

Return the conjugate of this complex number.

ConjugateGradientFormula - Enum in org.apache.commons.math.optimization.general

Available choices of update formulas for the β parameter in NonLinearConjugateGradientOptimizer.

CONSTANT_MODE - Static variable in class org.apache.commons.math.random.ValueServer

Always return mu

containsClass(Class<?>) - Method in class org.apache.commons.math.util.TransformerMap

Tests if a Class is present in the TransformerMap.

containsKey(int) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap

Check if a value is associated with a key.

containsKey(int) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap

Check if a value is associated with a key.

containsTransformer(NumberTransformer) - Method in class org.apache.commons.math.util.TransformerMap

Tests if a NumberTransformer is present in the TransformerMap.

CONTINUE - Static variable in interface org.apache.commons.math.ode.events.EventHandler

Continue indicator.

CONTINUE - Static variable in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians

Deprecated.

Continue indicator.

CONTINUED_FRACTION_INFINITY_DIVERGENCE - org.apache.commons.math.exception.util.LocalizedFormats

CONTINUED_FRACTION_NAN_DIVERGENCE - org.apache.commons.math.exception.util.LocalizedFormats

ContinuedFraction - Class in org.apache.commons.math.util

Provides a generic means to evaluate continued fractions.

ContinuedFraction() - Constructor for class org.apache.commons.math.util.ContinuedFraction

Default constructor.

ContinuousDistribution - Interface in org.apache.commons.math.distribution

Base interface for continuous distributions.

ContinuousOutputModel - Class in org.apache.commons.math.ode

This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this.

ContinuousOutputModel() - Constructor for class org.apache.commons.math.ode.ContinuousOutputModel

Simple constructor.

contract() - Method in class org.apache.commons.math.util.ResizableDoubleArray

Contracts the storage array to the (size of the element set) + 1 - to avoid a zero length array.

CONTRACTION_CRITERIA_SMALLER_THAN_EXPANSION_FACTOR - org.apache.commons.math.exception.util.LocalizedFormats

CONTRACTION_CRITERIA_SMALLER_THAN_ONE - org.apache.commons.math.exception.util.LocalizedFormats

contractionCriteria - Variable in class org.apache.commons.math.util.ResizableDoubleArray

The contraction criteria determines when the internal array will be contracted to fit the number of elements contained in the element array + 1.

converged(int, RealPointValuePair, RealPointValuePair) - Method in interface org.apache.commons.math.optimization.RealConvergenceChecker

Check if the optimization algorithm has converged considering the last points.

converged(int, RealPointValuePair, RealPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleRealPointChecker

Check if the optimization algorithm has converged considering the last points.

converged(int, RealPointValuePair, RealPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleScalarValueChecker

Check if the optimization algorithm has converged considering the last points.

converged(int, VectorialPointValuePair, VectorialPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleVectorialPointChecker

Check if the optimization algorithm has converged considering the last points.

converged(int, VectorialPointValuePair, VectorialPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleVectorialValueChecker

Check if the optimization algorithm has converged considering the last points.

converged(int, VectorialPointValuePair, VectorialPointValuePair) - Method in interface org.apache.commons.math.optimization.VectorialConvergenceChecker

Check if the optimization algorithm has converged considering the last points.

CONVERGENCE_FAILED - org.apache.commons.math.exception.util.LocalizedFormats

ConvergenceException - Exception in org.apache.commons.math

Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value.

ConvergenceException - Exception in org.apache.commons.math.exception

Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value.

ConvergenceException() - Constructor for exception org.apache.commons.math.ConvergenceException

Default constructor.

ConvergenceException() - Constructor for exception org.apache.commons.math.exception.ConvergenceException

Construct the exception.

ConvergenceException(String, Object...) - Constructor for exception org.apache.commons.math.ConvergenceException

Deprecated.

as of 2.2 replaced by ConvergenceException(Localizable, Object...)

ConvergenceException(Throwable) - Constructor for exception org.apache.commons.math.ConvergenceException

Create an exception with a given root cause.

ConvergenceException(Throwable, String, Object...) - Constructor for exception org.apache.commons.math.ConvergenceException

Deprecated.

as of 2.2 replaced by ConvergenceException(Throwable, Localizable, Object...)

ConvergenceException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math.ConvergenceException

Constructs an exception with specified formatted detail message and root cause.

ConvergenceException(Localizable) - Constructor for exception org.apache.commons.math.exception.ConvergenceException

Construct the exception with a specific context.

ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math.ConvergenceException

Constructs an exception with specified formatted detail message.

ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math.exception.ConvergenceException

Construct the exception with a specific context and arguments.

ConvergingAlgorithm - Interface in org.apache.commons.math

Deprecated.

in 2.2 (to be removed in 3.0). The concept of "iteration" will be moved to a new IterativeAlgorithm. The concept of "accuracy" is currently is also contained in SimpleRealPointChecker and similar classes.

ConvergingAlgorithmImpl - Class in org.apache.commons.math

Deprecated.

in 2.2 (to be removed in 3.0).

ConvergingAlgorithmImpl() - Constructor for class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

in 2.2 (to be removed as soon as the single non-default one has been removed).

ConvergingAlgorithmImpl(int, double) - Constructor for class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

in 2.2. Derived classes should use the "setter" methods in order to assign meaningful values to all the instances variables.

copy() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math.linear.AbstractRealVector

Returns a (deep) copy of this vector.

copy() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math.linear.ArrayFieldVector

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math.linear.ArrayRealVector

Returns a (deep) copy of this vector.

copy() - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Create a new BigMatrix which is a copy of this.

copy() - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns a (deep) copy of this.

copy() - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns a (deep) copy of this.

copy() - Method in interface org.apache.commons.math.linear.FieldVector

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math.linear.OpenMapRealMatrix

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math.linear.OpenMapRealVector

Returns a (deep) copy of this vector.

copy() - Method in interface org.apache.commons.math.linear.RealMatrix

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Returns a (deep) copy of this.

copy() - Method in interface org.apache.commons.math.linear.RealVector

Returns a (deep) copy of this vector.

copy() - Method in class org.apache.commons.math.linear.SparseFieldMatrix

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math.linear.SparseFieldVector

Returns a (deep) copy of this.

copy() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians

Deprecated.

Copy the instance.

copy() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Copy the instance.

copy() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator

Copy the instance.

copy() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns a copy of this DescriptiveStatistics instance with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.rank.Max

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.rank.Min

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile

Returns a copy of the statistic with the same internal state.

copy() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.summary.Product

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns a copy of this SummaryStatistics instance with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

Returns a copy of this SynchronizedDescriptiveStatistics instance with the same internal state.

copy() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns a copy of this SynchronizedSummaryStatistics instance with the same internal state.

copy() - Method in interface org.apache.commons.math.stat.descriptive.UnivariateStatistic

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math.util.ResizableDoubleArray

Returns a copy of the ResizableDoubleArray.

copy(DescriptiveStatistics, DescriptiveStatistics) - Static method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Copies source to dest.

copy(FirstMoment, FirstMoment) - Static method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment

Copies source to dest.

copy(FourthMoment, FourthMoment) - Static method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment

Copies source to dest.

copy(GeometricMean, GeometricMean) - Static method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean

Copies source to dest.

copy(Kurtosis, Kurtosis) - Static method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis

Copies source to dest.

copy(Mean, Mean) - Static method in class org.apache.commons.math.stat.descriptive.moment.Mean

Copies source to dest.

copy(SecondMoment, SecondMoment) - Static method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment

Copies source to dest.

copy(SemiVariance, SemiVariance) - Static method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance

Copies source to dest.

copy(Skewness, Skewness) - Static method in class org.apache.commons.math.stat.descriptive.moment.Skewness

Copies source to dest.

copy(StandardDeviation, StandardDeviation) - Static method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

Copies source to dest.

copy(ThirdMoment, ThirdMoment) - Static method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment

Copies source to dest.

copy(Variance, Variance) - Static method in class org.apache.commons.math.stat.descriptive.moment.Variance

Copies source to dest.

copy(Max, Max) - Static method in class org.apache.commons.math.stat.descriptive.rank.Max

Copies source to dest.

copy(Min, Min) - Static method in class org.apache.commons.math.stat.descriptive.rank.Min

Copies source to dest.

copy(Percentile, Percentile) - Static method in class org.apache.commons.math.stat.descriptive.rank.Percentile

Copies source to dest.

copy(Product, Product) - Static method in class org.apache.commons.math.stat.descriptive.summary.Product

Copies source to dest.

copy(SumOfLogs, SumOfLogs) - Static method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs

Copies source to dest.

copy(SumOfSquares, SumOfSquares) - Static method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares

Copies source to dest.

copy(Sum, Sum) - Static method in class org.apache.commons.math.stat.descriptive.summary.Sum

Copies source to dest.

copy(SummaryStatistics, SummaryStatistics) - Static method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Copies source to dest.

copy(SynchronizedDescriptiveStatistics, SynchronizedDescriptiveStatistics) - Static method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

Copies source to dest.

copy(SynchronizedSummaryStatistics, SynchronizedSummaryStatistics) - Static method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Copies source to dest.

copy(ResizableDoubleArray, ResizableDoubleArray) - Static method in class org.apache.commons.math.util.ResizableDoubleArray

Copies source to dest, copying the underlying data, so dest is a new, independent copy of source.

copysign(Dfp, Dfp) - Static method in class org.apache.commons.math.dfp.Dfp

Creates an instance that is the same as x except that it has the sign of y.

copySign(double, double) - Static method in class org.apache.commons.math.util.FastMath

Returns the first argument with the sign of the second argument.

copySign(float, float) - Static method in class org.apache.commons.math.util.FastMath

Returns the first argument with the sign of the second argument.

copySubMatrix(int[], int[], double[][]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Copy a submatrix.

copySubMatrix(int[], int[], double[][]) - Method in interface org.apache.commons.math.linear.RealMatrix

Copy a submatrix.

copySubMatrix(int[], int[], T[][]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Copy a submatrix.

copySubMatrix(int[], int[], T[][]) - Method in interface org.apache.commons.math.linear.FieldMatrix

Copy a submatrix.

copySubMatrix(int, int, int, int, double[][]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Copy a submatrix.

copySubMatrix(int, int, int, int, double[][]) - Method in interface org.apache.commons.math.linear.RealMatrix

Copy a submatrix.

copySubMatrix(int, int, int, int, T[][]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Copy a submatrix.

copySubMatrix(int, int, int, int, T[][]) - Method in interface org.apache.commons.math.linear.FieldMatrix

Copy a submatrix.

CorrelatedRandomVectorGenerator - Class in org.apache.commons.math.random

A RandomVectorGenerator that generates vectors with with correlated components.

CorrelatedRandomVectorGenerator(double[], RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math.random.CorrelatedRandomVectorGenerator

Simple constructor.

CorrelatedRandomVectorGenerator(RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math.random.CorrelatedRandomVectorGenerator

Simple constructor.

correlation(double[], double[]) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation

Computes the Pearson's product-moment correlation coefficient between the two arrays.

correlation(double[], double[]) - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation

Computes the Spearman's rank correlation coefficient between the two arrays.

cos() - Method in class org.apache.commons.math.complex.Complex

Compute the cosine of this complex number.

cos(double) - Static method in class org.apache.commons.math.util.FastMath

Cosine function

cos(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath

computes the cosine of the argument.

COS - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.cos method wrapped as a ComposableFunction.

cosh() - Method in class org.apache.commons.math.complex.Complex

Compute the hyperbolic cosine of this complex number.

cosh(double) - Static method in class org.apache.commons.math.util.FastMath

Compute the hyperbolic cosine of a number.

cosh(double) - Static method in class org.apache.commons.math.util.MathUtils

Returns the hyperbolic cosine of x.

COSH - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.cosh method wrapped as a ComposableFunction.

cosInternal(Dfp[]) - Static method in class org.apache.commons.math.dfp.DfpMath

Computes cos(a) Used when 0 < a < pi/4.

cost - Variable in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Cost value (square root of the sum of the residuals).

cost - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Cost value (square root of the sum of the residuals).

covariance(double[], double[]) - Method in class org.apache.commons.math.stat.correlation.Covariance

Computes the covariance between the two arrays, using the bias-corrected formula.

covariance(double[], double[], boolean) - Method in class org.apache.commons.math.stat.correlation.Covariance

Computes the covariance between the two arrays.

Covariance - Class in org.apache.commons.math.stat.correlation

Computes covariances for pairs of arrays or columns of a matrix.

Covariance() - Constructor for class org.apache.commons.math.stat.correlation.Covariance

Create a Covariance with no data

Covariance(double[][]) - Constructor for class org.apache.commons.math.stat.correlation.Covariance

Create a Covariance matrix from a rectangular array whose columns represent covariates.

Covariance(double[][], boolean) - Constructor for class org.apache.commons.math.stat.correlation.Covariance

Create a Covariance matrix from a rectangular array whose columns represent covariates.

Covariance(RealMatrix) - Constructor for class org.apache.commons.math.stat.correlation.Covariance

Create a covariance matrix from a matrix whose columns represent covariates.

Covariance(RealMatrix, boolean) - Constructor for class org.apache.commons.math.stat.correlation.Covariance

Create a covariance matrix from a matrix whose columns represent covariates.

COVARIANCE_MATRIX - org.apache.commons.math.exception.util.LocalizedFormats

covarianceToCorrelation(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation

Derives a correlation matrix from a covariance matrix.

createAdaptor(RandomGenerator) - Static method in class org.apache.commons.math.random.RandomAdaptor

Factory method to create a Random using the supplied RandomGenerator.

createArithmeticException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Deprecated.

as of 2.2 replaced by MathRuntimeException.createArithmeticException(Localizable, Object...)

createArithmeticException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Constructs a new ArithmeticException with specified formatted detail message.

createArrayIndexOutOfBoundsException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Deprecated.

as of 2.2 replaced by MathRuntimeException.createArrayIndexOutOfBoundsException(Localizable, Object...)

createArrayIndexOutOfBoundsException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Constructs a new ArrayIndexOutOfBoundsException with specified formatted detail message.

createBigIdentityMatrix(int) - Static method in class org.apache.commons.math.linear.MatrixUtils

Deprecated.

since 2.0, replaced by MatrixUtils.createFieldIdentityMatrix(Field, int)

createBigMatrix(double[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Deprecated.

since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])

createBigMatrix(String[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Deprecated.

since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])

createBigMatrix(BigDecimal[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Deprecated.

since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])

createBigMatrix(BigDecimal[][], boolean) - Static method in class org.apache.commons.math.linear.MatrixUtils

Deprecated.

since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])

createBlocksLayout(int, int) - Static method in class org.apache.commons.math.linear.BlockRealMatrix

Create a data array in blocks layout.

createBlocksLayout(Field<T>, int, int) - Static method in class org.apache.commons.math.linear.BlockFieldMatrix

Create a data array in blocks layout.

createChebyshevPolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils

Create a Chebyshev polynomial of the first kind.

createColumnBigMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Deprecated.

since 2.0 replaced by MatrixUtils.createColumnFieldMatrix(FieldElement[])

createColumnBigMatrix(String[]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Deprecated.

since 2.0 replaced by MatrixUtils.createColumnFieldMatrix(FieldElement[])

createColumnBigMatrix(BigDecimal[]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Deprecated.

since 2.0 replaced by MatrixUtils.createColumnFieldMatrix(FieldElement[])

createColumnFieldMatrix(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Creates a column FieldMatrix using the data from the input array.

createColumnRealMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Creates a column RealMatrix using the data from the input array.

createComplex(double, double) - Method in class org.apache.commons.math.complex.Complex

Create a complex number given the real and imaginary parts.

createConcurrentModificationException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Deprecated.

as of 2.2 replaced by MathRuntimeException.createConcurrentModificationException(Localizable, Object...)

createConcurrentModificationException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Constructs a new ConcurrentModificationException with specified formatted detail message.

createContributingStatistics() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Creates and returns a SummaryStatistics whose data will be aggregated with those of this AggregateSummaryStatistics.

createEOFException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Deprecated.

as of 2.2 replaced by MathRuntimeException.createEOFException(Localizable, Object...)

createEOFException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Constructs a new EOFException with specified formatted detail message.

createFieldDiagonalMatrix(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Returns a diagonal matrix with specified elements.

createFieldIdentityMatrix(Field<T>, int) - Static method in class org.apache.commons.math.linear.MatrixUtils

Returns dimension x dimension identity matrix.

createFieldMatrix(Field<T>, int, int) - Static method in class org.apache.commons.math.linear.MatrixUtils

Returns a FieldMatrix with specified dimensions.

createFieldMatrix(T[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Returns a FieldMatrix whose entries are the the values in the the input array.

createFieldVector(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Creates a FieldVector using the data from the input array.

createHermitePolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils

Create a Hermite polynomial.

createIllegalArgumentException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Deprecated.

as of 2.2 replaced by MathRuntimeException.createIllegalArgumentException(Localizable, Object...)

createIllegalArgumentException(Throwable) - Static method in exception org.apache.commons.math.MathRuntimeException

Constructs a new IllegalArgumentException with specified nested Throwable root cause.

createIllegalArgumentException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Constructs a new IllegalArgumentException with specified formatted detail message.

createIllegalStateException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Deprecated.

as of 2.2 replaced by MathRuntimeException.createIllegalStateException(Localizable, Object...)

createIllegalStateException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Constructs a new IllegalStateException with specified formatted detail message.

createInternalError(Throwable) - Static method in exception org.apache.commons.math.MathRuntimeException

Create an RuntimeException for an internal error.

createIOException(Throwable) - Static method in exception org.apache.commons.math.MathRuntimeException

Constructs a new IOException with specified nested Throwable root cause.

createLaguerrePolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils

Create a Laguerre polynomial.

createLegendrePolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils

Create a Legendre polynomial.

createMatrix(int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in interface org.apache.commons.math.linear.RealMatrix

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math.linear.SparseFieldMatrix

Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.

createNoSuchElementException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Deprecated.

as of 2.2 replaced by MathRuntimeException.createNoSuchElementException(Localizable, Object...)

createNoSuchElementException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Constructs a new NoSuchElementException with specified formatted detail message.

createNullPointerException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Deprecated.

as of 2.2 replaced by MathRuntimeException.createNullPointerException(Localizable, Object...)

createNullPointerException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Deprecated.

in 2.2. Checks for "null" must not be performed in Commons-Math.

createParametersGuesser(WeightedObservedPoint[]) - Method in class org.apache.commons.math.optimization.fitting.GaussianFitter

Factory method to create a GaussianParametersGuesser instance initialized with the specified observations.

createParseException(int, String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Deprecated.

as of 2.2 replaced by MathRuntimeException.createParseException(int, Localizable, Object...)

createParseException(int, Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Constructs a new ParseException with specified formatted detail message.

createRealDiagonalMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Returns a diagonal matrix with specified elements.

createRealIdentityMatrix(int) - Static method in class org.apache.commons.math.linear.MatrixUtils

Returns dimension x dimension identity matrix.

createRealMatrix(double[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Returns a RealMatrix whose entries are the the values in the the input array.

createRealMatrix(int, int) - Static method in class org.apache.commons.math.linear.MatrixUtils

Returns a RealMatrix with specified dimensions.

createRealVector(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Creates a RealVector using the data from the input array.

createRowBigMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Deprecated.

since 2.0 replaced by MatrixUtils.createRowFieldMatrix(FieldElement[])

createRowBigMatrix(String[]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Deprecated.

since 2.0 replaced by MatrixUtils.createRowFieldMatrix(FieldElement[])

createRowBigMatrix(BigDecimal[]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Deprecated.

since 2.0 replaced by MatrixUtils.createRowFieldMatrix(FieldElement[])

createRowFieldMatrix(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Creates a row FieldMatrix using the data from the input array.

createRowRealMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils

Creates a row RealMatrix using the data from the input array.

createUnsupportedOperationException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException

Deprecated.

in 2.2. Please use MathUnsupportedOperationException instead.

crossover(Chromosome, Chromosome) - Method in interface org.apache.commons.math.genetics.CrossoverPolicy

Perform a crossover operation on the given chromosomes.

crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math.genetics.OnePointCrossover

Performs one point crossover.

CrossoverPolicy - Interface in org.apache.commons.math.genetics

Policy used to create a pair of new chromosomes by performing a crossover operation on a source pair of chromosomes.

crossProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D

Compute the cross-product of two vectors.

CUMULATIVE_PROBABILITY_RETURNED_NAN - org.apache.commons.math.exception.util.LocalizedFormats

cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).

cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).

cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl

For this distribution, X, this method returns P(X < x).

cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

For this distribution, X, this method returns P(X < x).

cumulativeProbability(double) - Method in interface org.apache.commons.math.distribution.Distribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).

cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl

For this distribution, X, this method returns P(X < x).

cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl

For this distribution, X, this method returns P(X < x).

cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

For this distribution, X, this method returns P(X < x).

cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

For this distribution, X, this method returns P(X < x).

cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl

For this distribution, X, this method returns P(X < x).

cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

For this distribution, X, this method returns P(X < x).

cumulativeProbability(double, double) - Method in class org.apache.commons.math.distribution.AbstractDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).

cumulativeProbability(double, double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).

cumulativeProbability(double, double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).

cumulativeProbability(double, double) - Method in interface org.apache.commons.math.distribution.Distribution

For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).

cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).

cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl

For this distribution, X, this method returns P(X ≤ x).

cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl

For this distribution, X, this method returns P(X ≤ x).

cumulativeProbability(int) - Method in interface org.apache.commons.math.distribution.IntegerDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).

cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl

For this distribution, X, this method returns P(X ≤ x).

cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl

The probability distribution function P(X <= x) for a Poisson distribution.

cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl

The probability distribution function P(X <= x) for a Zipf distribution.

cumulativeProbability(int, int) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).

cumulativeProbability(int, int) - Method in interface org.apache.commons.math.distribution.IntegerDistribution

For this distribution, X, this method returns P(x0 ≤ X ≤ x1).

currentState - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

current state

CurveFitter - Class in org.apache.commons.math.optimization.fitting

Fitter for parametric univariate real functions y = f(x).

CurveFitter(DifferentiableMultivariateVectorialOptimizer) - Constructor for class org.apache.commons.math.optimization.fitting.CurveFitter

Simple constructor.

D

data - Variable in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Entries of the matrix

data - Variable in class org.apache.commons.math.linear.Array2DRowRealMatrix

Entries of the matrix

data - Variable in class org.apache.commons.math.linear.ArrayFieldVector

Entries of the vector.

data - Variable in class org.apache.commons.math.linear.ArrayRealVector

Entries of the vector.

data - Variable in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Entries of the matrix

data - Variable in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Entries of the matrix

decode(List<T>) - Method in interface org.apache.commons.math.genetics.PermutationChromosome

Permutes the sequence of objects of type T according to the permutation this chromosome represents.

decode(List<T>) - Method in class org.apache.commons.math.genetics.RandomKey

Permutes the sequence of objects of type T according to the permutation this chromosome represents.

DecompositionSolver - Interface in org.apache.commons.math.linear

Interface handling decomposition algorithms that can solve A × X = B.

DECREASING - org.apache.commons.math.util.MathUtils.OrderDirection

Constant for decreasing direction.

DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.analysis.solvers.BrentSolver

Default absolute accuracy

DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD - Static variable in class org.apache.commons.math.linear.CholeskyDecompositionImpl

Default threshold below which diagonal elements are considered null and matrix not positive definite.

DEFAULT_ACCURACY - Static variable in class org.apache.commons.math.analysis.interpolation.LoessInterpolator

Default value for accuracy.

DEFAULT_BANDWIDTH - Static variable in class org.apache.commons.math.analysis.interpolation.LoessInterpolator

Default value of the bandwidth parameter.

DEFAULT_BRIGHTNESS_EXPONENT - Static variable in class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator

Default exponent used the weights calculation.

DEFAULT_EPSILON - Static variable in class org.apache.commons.math.distribution.PoissonDistributionImpl

Default convergence criterion.

DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.BetaDistributionImpl

Default inverse cumulative probability accuracy

DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.CauchyDistributionImpl

Default inverse cumulative probability accuracy

DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Default inverse cumulative probability accuracy

DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.ExponentialDistributionImpl

Default inverse cumulative probability accuracy

DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.FDistributionImpl

Default inverse cumulative probability accuracy

DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.GammaDistributionImpl

Default inverse cumulative probability accuracy

DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.NormalDistributionImpl

Default inverse cumulative probability accuracy

DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.TDistributionImpl

Default inverse cumulative probability accuracy

DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.WeibullDistributionImpl

Default inverse cumulative probability accuracy

DEFAULT_LS_ABSOLUTE_TOLERANCE - Static variable in class org.apache.commons.math.optimization.direct.PowellOptimizer

Default absolute tolerance for line search (1.0E-11).

DEFAULT_LS_RELATIVE_TOLERANCE - Static variable in class org.apache.commons.math.optimization.direct.PowellOptimizer

Default relative tolerance for line search (1.0E-7).

DEFAULT_MAX_COST_EVALUATIONS - Static variable in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Default maximal number of cost evaluations allowed.

DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math.distribution.PoissonDistributionImpl

Default maximum number of iterations for cumulative probability calculations.

DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Default maximal number of iterations allowed.

DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Default maximal number of iterations allowed.

DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer

Default maximal number of iterations allowed.

DEFAULT_MAXIMUM_ITERATIONS - Static variable in class org.apache.commons.math.analysis.solvers.BrentSolver

Default maximum number of iterations

DEFAULT_MICROSPHERE_ELEMENTS - Static variable in class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator

Default number of surface elements that composes the microsphere.

DEFAULT_NAN_STRATEGY - Static variable in class org.apache.commons.math.stat.ranking.NaturalRanking

default NaN strategy

DEFAULT_RELATIVE_SYMMETRY_THRESHOLD - Static variable in class org.apache.commons.math.linear.CholeskyDecompositionImpl

Default threshold above which off-diagonal elements are considered too different and matrix not symmetric.

DEFAULT_ROBUSTNESS_ITERS - Static variable in class org.apache.commons.math.analysis.interpolation.LoessInterpolator

Default value of the number of robustness iterations.

DEFAULT_TIES_STRATEGY - Static variable in class org.apache.commons.math.stat.ranking.NaturalRanking

default ties strategy

DEFAULT_ZERO_TOLERANCE - Static variable in class org.apache.commons.math.linear.OpenMapRealVector

Default Tolerance for having a value considered zero.

defaultAbsoluteAccuracy - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Default maximum absolute error.

DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math.linear

Default implementation of the FieldMatrixChangingVisitor interface.

DefaultFieldMatrixChangingVisitor(T) - Constructor for class org.apache.commons.math.linear.DefaultFieldMatrixChangingVisitor

Build a new instance.

DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math.linear

Default implementation of the FieldMatrixPreservingVisitor interface.

DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.apache.commons.math.linear.DefaultFieldMatrixPreservingVisitor

Build a new instance.

defaultFunctionValueAccuracy - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Default maximum error of function.

defaultMaximalIterationCount - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Default maximum number of iterations.

defaultMinimalIterationCount - Variable in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl

default minimum number of iterations

DefaultRealMatrixChangingVisitor - Class in org.apache.commons.math.linear

Default implementation of the RealMatrixChangingVisitor interface.

DefaultRealMatrixChangingVisitor() - Constructor for class org.apache.commons.math.linear.DefaultRealMatrixChangingVisitor

DefaultRealMatrixPreservingVisitor - Class in org.apache.commons.math.linear

Default implementation of the RealMatrixPreservingVisitor interface.

DefaultRealMatrixPreservingVisitor() - Constructor for class org.apache.commons.math.linear.DefaultRealMatrixPreservingVisitor

defaultRelativeAccuracy - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Default maximum relative error.

DefaultTransformer - Class in org.apache.commons.math.util

A Default NumberTransformer for java.lang.Numbers and Numeric Strings.

DefaultTransformer() - Constructor for class org.apache.commons.math.util.DefaultTransformer

degree() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction

Returns the degree of the polynomial

degree() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm

Returns the degree of the polynomial.

degree() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm

Returns the degree of the polynomial.

DENOMINATOR - org.apache.commons.math.exception.util.LocalizedFormats

DENOMINATOR_FORMAT - org.apache.commons.math.exception.util.LocalizedFormats

denominatorFormat - Variable in class org.apache.commons.math.fraction.AbstractFormat

The format used for the denominator.

density(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution

Return the probability density for a particular point.

density(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

Return the probability density for a particular point.

density(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl

Returns the probability density for a particular point.

density(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Return the probability density for a particular point.

density(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl

Return the probability density for a particular point.

density(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl

Returns the probability density for a particular point.

density(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

Returns the probability density for a particular point.

density(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

Returns the probability density for a particular point.

density(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl

Returns the probability density for a particular point.

density(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

Returns the probability density for a particular point.

density(Double) - Method in interface org.apache.commons.math.distribution.BetaDistribution

Return the probability density for a particular point.

density(Double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

Deprecated.

density(Double) - Method in interface org.apache.commons.math.distribution.ChiSquaredDistribution

Return the probability density for a particular point.

density(Double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Deprecated.

density(Double) - Method in interface org.apache.commons.math.distribution.ExponentialDistribution

Return the probability density for a particular point.

density(Double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl

Deprecated.

- use density(double)

density(Double) - Method in interface org.apache.commons.math.distribution.GammaDistribution

Return the probability density for a particular point.

density(Double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

Deprecated.

density(Double) - Method in interface org.apache.commons.math.distribution.NormalDistribution

Return the probability density for a particular point.

density(Double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

Deprecated.

density(P) - Method in interface org.apache.commons.math.distribution.HasDensity

Deprecated.

Compute the probability density function.

derivative() - Method in interface org.apache.commons.math.analysis.DifferentiableUnivariateMatrixFunction

Returns the derivative of the function

derivative() - Method in interface org.apache.commons.math.analysis.DifferentiableUnivariateRealFunction

Returns the derivative of the function

derivative() - Method in interface org.apache.commons.math.analysis.DifferentiableUnivariateVectorialFunction

Returns the derivative of the function

derivative() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction

Returns the derivative as a UnivariateRealFunction

derivative() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction

Returns the derivative of the polynomial spline function as a UnivariateRealFunction

derivative() - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction

Returns the derivative of the function

derivative() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction

Returns the derivative of the function

DerivativeException - Exception in org.apache.commons.math.ode

This exception is made available to users to report the error conditions that are triggered while computing the differential equations.

DerivativeException(String, Object...) - Constructor for exception org.apache.commons.math.ode.DerivativeException

Simple constructor.

DerivativeException(Throwable) - Constructor for exception org.apache.commons.math.ode.DerivativeException

Build an instance from an underlying cause.

DerivativeException(Localizable, Object...) - Constructor for exception org.apache.commons.math.ode.DerivativeException

Simple constructor.

DescriptiveStatistics - Class in org.apache.commons.math.stat.descriptive

Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.

DescriptiveStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Construct a DescriptiveStatistics instance with an infinite window

DescriptiveStatistics(double[]) - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Construct a DescriptiveStatistics instance with an infinite window and the initial data values in double[] initialDoubleArray.

DescriptiveStatistics(int) - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Construct a DescriptiveStatistics instance with the specified window

DescriptiveStatistics(DescriptiveStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Copy constructor.

deserializeRealMatrix(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math.linear.MatrixUtils

Deserialize a RealMatrix field in a class.

deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math.linear.MatrixUtils

Deserialize a RealVector field in a class.

dev - Variable in class org.apache.commons.math.stat.descriptive.moment.FirstMoment

Deviation of most recently added value from previous first moment.

df(double, double, double, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Computes approximate degrees of freedom for 2-sample t-test.

Dfp - Class in org.apache.commons.math.dfp

Decimal floating point library for Java

Dfp(Dfp) - Constructor for class org.apache.commons.math.dfp.Dfp

Copy constructor.

Dfp(DfpField) - Constructor for class org.apache.commons.math.dfp.Dfp

Makes an instance with a value of zero.

Dfp(DfpField, byte) - Constructor for class org.apache.commons.math.dfp.Dfp

Create an instance from a byte value.

Dfp(DfpField, byte, byte) - Constructor for class org.apache.commons.math.dfp.Dfp

Creates an instance with a non-finite value.

Dfp(DfpField, double) - Constructor for class org.apache.commons.math.dfp.Dfp

Create an instance from a double value.

Dfp(DfpField, int) - Constructor for class org.apache.commons.math.dfp.Dfp

Create an instance from an int value.

Dfp(DfpField, long) - Constructor for class org.apache.commons.math.dfp.Dfp

Create an instance from a long value.

Dfp(DfpField, String) - Constructor for class org.apache.commons.math.dfp.Dfp

Create an instance from a String representation.

dfp2sci() - Method in class org.apache.commons.math.dfp.Dfp

Convert an instance to a string using scientific notation.

dfp2string() - Method in class org.apache.commons.math.dfp.Dfp

Convert an instance to a string using normal notation.

DfpDec - Class in org.apache.commons.math.dfp

Subclass of Dfp which hides the radix-10000 artifacts of the superclass.

DfpDec(Dfp) - Constructor for class org.apache.commons.math.dfp.DfpDec

Copy constructor.

DfpDec(DfpField) - Constructor for class org.apache.commons.math.dfp.DfpDec

Makes an instance with a value of zero.

DfpDec(DfpField, byte) - Constructor for class org.apache.commons.math.dfp.DfpDec

Create an instance from a byte value.

DfpDec(DfpField, byte, byte) - Constructor for class org.apache.commons.math.dfp.DfpDec

Creates an instance with a non-finite value.

DfpDec(DfpField, double) - Constructor for class org.apache.commons.math.dfp.DfpDec

Create an instance from a double value.

DfpDec(DfpField, int) - Constructor for class org.apache.commons.math.dfp.DfpDec

Create an instance from an int value.

DfpDec(DfpField, long) - Constructor for class org.apache.commons.math.dfp.DfpDec

Create an instance from a long value.

DfpDec(DfpField, String) - Constructor for class org.apache.commons.math.dfp.DfpDec

Create an instance from a String representation.

DfpField - Class in org.apache.commons.math.dfp

Field for Decimal floating point instances.

DfpField(int) - Constructor for class org.apache.commons.math.dfp.DfpField

Create a factory for the specified number of radix digits.

DfpField.RoundingMode - Enum in org.apache.commons.math.dfp

Enumerate for rounding modes.

DfpMath - Class in org.apache.commons.math.dfp

Mathematical routines for use with Dfp.

DIFFERENT_ROWS_LENGTHS - org.apache.commons.math.exception.util.LocalizedFormats

DifferentiableMultivariateRealFunction - Interface in org.apache.commons.math.analysis

Extension of MultivariateRealFunction representing a differentiable multivariate real function.

DifferentiableMultivariateRealOptimizer - Interface in org.apache.commons.math.optimization

This interface represents an optimization algorithm for scalar differentiable objective functions.

DifferentiableMultivariateVectorialFunction - Interface in org.apache.commons.math.analysis

Extension of MultivariateVectorialFunction representing a differentiable multivariate vectorial function.

DifferentiableMultivariateVectorialOptimizer - Interface in org.apache.commons.math.optimization

This interface represents an optimization algorithm for vectorial differentiable objective functions.

DifferentiableUnivariateMatrixFunction - Interface in org.apache.commons.math.analysis

Extension of UnivariateMatrixFunction representing a differentiable univariate matrix function.

DifferentiableUnivariateRealFunction - Interface in org.apache.commons.math.analysis

Extension of UnivariateRealFunction representing a differentiable univariate real function.

DifferentiableUnivariateVectorialFunction - Interface in org.apache.commons.math.analysis

Extension of UnivariateVectorialFunction representing a differentiable univariate vectorial function.

differentiate(double[]) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction

Returns the coefficients of the derivative of the polynomial with the given coefficients.

digamma(double) - Static method in class org.apache.commons.math.special.Gamma

Computes the digamma function of x.

DIGEST_MODE - Static variable in class org.apache.commons.math.random.ValueServer

Use empirical distribution.

DIGEST_NOT_INITIALIZED - org.apache.commons.math.exception.util.LocalizedFormats

DimensionMismatchException - Exception in org.apache.commons.math

Deprecated.

in 2.2 (to be removed in 3.0). Please use its equivalent from package org.apache.commons.math.exception.

DimensionMismatchException - Exception in org.apache.commons.math.exception

Exception to be thrown when two dimensions differ.

DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math.DimensionMismatchException

Deprecated.

Construct an exception from the mismatched dimensions

DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math.exception.DimensionMismatchException

Construct an exception from the mismatched dimensions.

DIMENSIONS_MISMATCH_2x2 - org.apache.commons.math.exception.util.LocalizedFormats

DIMENSIONS_MISMATCH_SIMPLE - org.apache.commons.math.exception.util.LocalizedFormats

DirectSearchOptimizer - Class in org.apache.commons.math.optimization.direct

This class implements simplex-based direct search optimization algorithms.

DirectSearchOptimizer() - Constructor for class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Simple constructor.

discardFrontElements(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray

Discards the i initial elements of the array.

discardMostRecentElements(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray

Discards the i last elements of the array.

DISCRETE_CUMULATIVE_PROBABILITY_RETURNED_NAN - org.apache.commons.math.exception.util.LocalizedFormats

DiscreteDistribution - Interface in org.apache.commons.math.distribution

Base interface for discrete distributions.

distance(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils

Calculates the L₂ (Euclidean) distance between two points.

distance(int[], int[]) - Static method in class org.apache.commons.math.util.MathUtils

Calculates the L₂ (Euclidean) distance between two points.

distance(Rotation, Rotation) - Static method in class org.apache.commons.math.geometry.Rotation

Compute the distance between two rotations.

distance(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D

Compute the distance between two vectors according to the L₂ norm.

distance1(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils

Calculates the L₁ (sum of abs) distance between two points.

distance1(int[], int[]) - Static method in class org.apache.commons.math.util.MathUtils

Calculates the L₁ (sum of abs) distance between two points.

distance1(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D

Compute the distance between two vectors according to the L₁ norm.

distanceFrom(EuclideanIntegerPoint) - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint

Returns the distance from the given point.

distanceFrom(T) - Method in interface org.apache.commons.math.stat.clustering.Clusterable

Returns the distance from the given point.

distanceInf(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils

Calculates the L_∞ (max of abs) distance between two points.

distanceInf(int[], int[]) - Static method in class org.apache.commons.math.util.MathUtils

Calculates the L_∞ (max of abs) distance between two points.

distanceInf(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D

Compute the distance between two vectors according to the L_∞ norm.

distanceSq(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D

Compute the square of the distance between two vectors.

Distribution - Interface in org.apache.commons.math.distribution

Base interface for probability distributions.

DISTRIBUTION_NOT_LOADED - org.apache.commons.math.exception.util.LocalizedFormats

divide(int) - Method in class org.apache.commons.math.dfp.Dfp

Divide by a single digit less than radix.

divide(int) - Method in class org.apache.commons.math.fraction.BigFraction

Divide the value of this fraction by the passed int, ie "this * 1 / i", returning the result in reduced form.

divide(int) - Method in class org.apache.commons.math.fraction.Fraction

Divide the fraction by an integer.

divide(long) - Method in class org.apache.commons.math.fraction.BigFraction

Divide the value of this fraction by the passed long, ie "this * 1 / l", returning the result in reduced form.

divide(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction

Divide the value of this fraction by the passed BigInteger, ie "this * 1 / bg", returning the result in reduced form.

divide(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction

Return a function dividing the instance by another function.

divide(Complex) - Method in class org.apache.commons.math.complex.Complex

Return the quotient of this complex number and the given complex number.

divide(Dfp) - Method in class org.apache.commons.math.dfp.Dfp

Divide this by divisor.

divide(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction

Divide the value of this fraction by another, returning the result in reduced form.

divide(Fraction) - Method in class org.apache.commons.math.fraction.Fraction

Divide the value of this fraction by another.

divide(BigReal) - Method in class org.apache.commons.math.util.BigReal

Compute this ÷ a.

divide(T) - Method in interface org.apache.commons.math.FieldElement

Compute this ÷ a.

DIVIDE - Static variable in class org.apache.commons.math.analysis.BinaryFunction

Deprecated.

The / operator method wrapped as a BinaryFunction.

DividedDifferenceInterpolator - Class in org.apache.commons.math.analysis.interpolation

Implements the Divided Difference Algorithm for interpolation of real univariate functions.

DividedDifferenceInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.DividedDifferenceInterpolator

doCopy() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Really copy the finalized instance.

doCopy() - Method in class org.apache.commons.math.ode.sampling.DummyStepInterpolator

Really copy the finalized instance.

doCopy() - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator

Really copy the finalized instance.

doFinalize() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Really finalize the step.

doIteration(SimplexTableau) - Method in class org.apache.commons.math.optimization.linear.SimplexSolver

Runs one iteration of the Simplex method on the given model.

doOptimize() - Method in class org.apache.commons.math.optimization.direct.PowellOptimizer

Perform the bulk of optimization algorithm.

doOptimize() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Perform the bulk of optimization algorithm.

doOptimize() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Perform the bulk of optimization algorithm.

doOptimize() - Method in class org.apache.commons.math.optimization.general.GaussNewtonOptimizer

Perform the bulk of optimization algorithm.

doOptimize() - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer

Perform the bulk of optimization algorithm.

doOptimize() - Method in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer

Perform the bulk of optimization algorithm.

doOptimize() - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer

Perform the bulk of optimization algorithm.

doOptimize() - Method in class org.apache.commons.math.optimization.linear.SimplexSolver

Perform the bulk of optimization algorithm.

doOptimize() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Method for implementing actual optimization algorithms in derived classes.

doOptimize() - Method in class org.apache.commons.math.optimization.univariate.BrentOptimizer

Method for implementing actual optimization algorithms in derived classes.

DormandPrince54Integrator - Class in org.apache.commons.math.ode.nonstiff

This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.

DormandPrince54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator

Simple constructor.

DormandPrince54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator

Simple constructor.

DormandPrince853Integrator - Class in org.apache.commons.math.ode.nonstiff

This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations.

DormandPrince853Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator

Simple constructor.

DormandPrince853Integrator(double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator

Simple constructor.

dotProduct(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector

Compute the dot product.

dotProduct(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector

Compute the dot product.

dotProduct(double[]) - Method in interface org.apache.commons.math.linear.RealVector

Compute the dot product.

dotProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D

Compute the dot-product of two vectors.

dotProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Compute the dot product.

dotProduct(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Compute the dot product.

dotProduct(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Compute the dot product.

dotProduct(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector

Compute the dot product.

dotProduct(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector

Compute the dot product.

dotProduct(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Optimized method to compute the dot product with an OpenMapRealVector.

dotProduct(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector

Compute the dot product.

dotProduct(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Compute the dot product.

dotProduct(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Compute the dot product.

dotProduct(RealVector) - Method in interface org.apache.commons.math.linear.RealVector

Compute the dot product.

dotProduct(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Compute the dot product.

dotProduct(T[]) - Method in interface org.apache.commons.math.linear.FieldVector

Compute the dot product.

dotProduct(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector

Compute the dot product.

dotrap(int, String, Dfp, Dfp) - Method in class org.apache.commons.math.dfp.Dfp

Raises a trap.

DoubleArray - Interface in org.apache.commons.math.util

Provides a standard interface for double arrays.

doubleValue() - Method in class org.apache.commons.math.fraction.BigFraction

Gets the fraction as a double.

doubleValue() - Method in class org.apache.commons.math.fraction.Fraction

Gets the fraction as a double.

doubleValue() - Method in class org.apache.commons.math.util.BigReal

Get the double value corresponding to the instance.

DOWNSIDE - org.apache.commons.math.stat.descriptive.moment.SemiVariance.Direction

The DOWNSIDE Direction is used to specify that the observations below the cutoff point will be used to calculate SemiVariance

DOWNSIDE_VARIANCE - Static variable in class org.apache.commons.math.stat.descriptive.moment.SemiVariance

The DOWNSIDE Direction is used to specify that the observations below the cutoff point will be used to calculate SemiVariance

DummyLocalizable - Class in org.apache.commons.math.exception.util

Dummy implementation of the Localizable interface, without localization.

DummyLocalizable(String) - Constructor for class org.apache.commons.math.exception.util.DummyLocalizable

Simple constructor.

DummyStepHandler - Class in org.apache.commons.math.ode.sampling

This class is a step handler that does nothing.

DummyStepInterpolator - Class in org.apache.commons.math.ode.sampling

This class is a step interpolator that does nothing.

DummyStepInterpolator() - Constructor for class org.apache.commons.math.ode.sampling.DummyStepInterpolator

Simple constructor.

DummyStepInterpolator(double[], double[], boolean) - Constructor for class org.apache.commons.math.ode.sampling.DummyStepInterpolator

Simple constructor.

DummyStepInterpolator(DummyStepInterpolator) - Constructor for class org.apache.commons.math.ode.sampling.DummyStepInterpolator

Copy constructor.

DUPLICATED_ABSCISSA - org.apache.commons.math.exception.util.LocalizedFormats

DuplicateSampleAbscissaException - Exception in org.apache.commons.math

Exception thrown when a sample contains several entries at the same abscissa.

DuplicateSampleAbscissaException(double, int, int) - Constructor for exception org.apache.commons.math.DuplicateSampleAbscissaException

Construct an exception indicating the duplicate abscissa.

E

E - Static variable in class org.apache.commons.math.util.FastMath

Napier's constant e, base of the natural logarithm.

ebeDivide(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector

Element-by-element division.

ebeDivide(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector

Element-by-element division.

ebeDivide(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Element-by-element division.

ebeDivide(double[]) - Method in interface org.apache.commons.math.linear.RealVector

Element-by-element division.

ebeDivide(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Element-by-element division.

ebeDivide(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Element-by-element division.

ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Element-by-element division.

ebeDivide(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector

Element-by-element division.

ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector

Element-by-element division.

ebeDivide(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Element-by-element division.

ebeDivide(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Element-by-element division.

ebeDivide(RealVector) - Method in interface org.apache.commons.math.linear.RealVector

Element-by-element division.

ebeDivide(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Element-by-element division.

ebeDivide(T[]) - Method in interface org.apache.commons.math.linear.FieldVector

Element-by-element division.

ebeDivide(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector

Element-by-element division.

ebeMultiply(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector

Element-by-element multiplication.

ebeMultiply(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector

Element-by-element multiplication.

ebeMultiply(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Element-by-element multiplication.

ebeMultiply(double[]) - Method in interface org.apache.commons.math.linear.RealVector

Element-by-element multiplication.

ebeMultiply(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Element-by-element multiplication.

ebeMultiply(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Element-by-element multiplication.

ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Element-by-element multiplication.

ebeMultiply(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector

Element-by-element multiplication.

ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector

Element-by-element multiplication.

ebeMultiply(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Element-by-element multiplication.

ebeMultiply(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Element-by-element multiplication.

ebeMultiply(RealVector) - Method in interface org.apache.commons.math.linear.RealVector

Element-by-element multiplication.

ebeMultiply(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Element-by-element multiplication.

ebeMultiply(T[]) - Method in interface org.apache.commons.math.linear.FieldVector

Element-by-element multiplication.

ebeMultiply(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector

Element-by-element multiplication.

eDA - Variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Stored data values

EigenDecomposition - Interface in org.apache.commons.math.linear

An interface to classes that implement an algorithm to calculate the eigen decomposition of a real matrix.

EigenDecompositionImpl - Class in org.apache.commons.math.linear

Calculates the eigen decomposition of a real symmetric matrix.

EigenDecompositionImpl(double[], double[], double) - Constructor for class org.apache.commons.math.linear.EigenDecompositionImpl

Calculates the eigen decomposition of the symmetric tridiagonal matrix.

EigenDecompositionImpl(RealMatrix, double) - Constructor for class org.apache.commons.math.linear.EigenDecompositionImpl

Calculates the eigen decomposition of the given symmetric matrix.

ElitisticListPopulation - Class in org.apache.commons.math.genetics

Population of chromosomes which uses elitism (certain percentace of the best chromosomes is directly copied to the next generation).

ElitisticListPopulation(int, double) - Constructor for class org.apache.commons.math.genetics.ElitisticListPopulation

Creates a new ListPopulation instance and initializes its inner chromosome list.

ElitisticListPopulation(List<Chromosome>, int, double) - Constructor for class org.apache.commons.math.genetics.ElitisticListPopulation

Creates a new ElitisticListPopulation instance.

EmbeddedRungeKuttaIntegrator - Class in org.apache.commons.math.ode.nonstiff

This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.

EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Build a Runge-Kutta integrator with the given Butcher array.

EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Build a Runge-Kutta integrator with the given Butcher array.

EmpiricalDistribution - Interface in org.apache.commons.math.random

Represents an empirical probability distribution -- a probability distribution derived from observed data without making any assumptions about the functional form of the population distribution that the data come from.

EmpiricalDistributionImpl - Class in org.apache.commons.math.random

Implements EmpiricalDistribution interface.

EmpiricalDistributionImpl() - Constructor for class org.apache.commons.math.random.EmpiricalDistributionImpl

Creates a new EmpiricalDistribution with the default bin count.

EmpiricalDistributionImpl(int) - Constructor for class org.apache.commons.math.random.EmpiricalDistributionImpl

Creates a new EmpiricalDistribution with the specified bin count.

EMPTY_CLUSTER_IN_K_MEANS - org.apache.commons.math.exception.util.LocalizedFormats

EMPTY_POLYNOMIALS_COEFFICIENTS_ARRAY - org.apache.commons.math.exception.util.LocalizedFormats

EMPTY_SELECTED_COLUMN_INDEX_ARRAY - org.apache.commons.math.exception.util.LocalizedFormats

EMPTY_SELECTED_ROW_INDEX_ARRAY - org.apache.commons.math.exception.util.LocalizedFormats

EMPTY_STRING_FOR_IMAGINARY_CHARACTER - org.apache.commons.math.exception.util.LocalizedFormats

end() - Method in class org.apache.commons.math.linear.DefaultFieldMatrixChangingVisitor

End visiting a matrix.

end() - Method in class org.apache.commons.math.linear.DefaultFieldMatrixPreservingVisitor

End visiting a matrix.

end() - Method in class org.apache.commons.math.linear.DefaultRealMatrixChangingVisitor

End visiting a matrix.

end() - Method in class org.apache.commons.math.linear.DefaultRealMatrixPreservingVisitor

End visiting a matrix.

end() - Method in interface org.apache.commons.math.linear.FieldMatrixChangingVisitor

End visiting a matrix.

end() - Method in interface org.apache.commons.math.linear.FieldMatrixPreservingVisitor

End visiting a matrix.

end() - Method in interface org.apache.commons.math.linear.RealMatrixChangingVisitor

End visiting a matrix.

end() - Method in interface org.apache.commons.math.linear.RealMatrixPreservingVisitor

End visiting a matrix.

ENDPOINTS_NOT_AN_INTERVAL - org.apache.commons.math.exception.util.LocalizedFormats

Entry() - Constructor for class org.apache.commons.math.linear.RealVector.Entry

EntryImpl() - Constructor for class org.apache.commons.math.linear.AbstractRealVector.EntryImpl

Simple constructor.

epsilon - Variable in class org.apache.commons.math.optimization.linear.SimplexSolver

Amount of error to accept in floating point comparisons.

EPSILON - Static variable in class org.apache.commons.math.util.MathUtils

Smallest positive number such that 1 - EPSILON is not numerically equal to 1.

EQ - org.apache.commons.math.optimization.linear.Relationship

Equality relationship.

EQUAL_VERTICES_IN_SIMPLEX - org.apache.commons.math.exception.util.LocalizedFormats

equals(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils

Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by MathUtils.equals(double,double).

equals(double, double) - Static method in class org.apache.commons.math.util.MathUtils

Returns true iff both arguments are NaN or neither is NaN and they are equal

equals(double, double, double) - Static method in class org.apache.commons.math.util.MathUtils

Returns true if both arguments are equal or within the range of allowed error (inclusive).

equals(double, double, int) - Static method in class org.apache.commons.math.util.MathUtils

Returns true if both arguments are equal or within the range of allowed error (inclusive).

equals(float[], float[]) - Static method in class org.apache.commons.math.util.MathUtils

Deprecated.

as of 2.2 this method considers that NaN == NaN. In release 3.0, the semantics will change in order to comply with IEEE754 where it is specified that NaN != NaN. New methods have been added for those cases where the old semantics is useful (see e.g. equalsIncludingNaN.

equals(float, float) - Static method in class org.apache.commons.math.util.MathUtils

Deprecated.

as of 2.2 his method considers that NaN == NaN. In release 3.0, the semantics will change in order to comply with IEEE754 where it is specified that NaN != NaN. New methods have been added for those cases wher the old semantics is useful (see e.g. equalsIncludingNaN.

equals(float, float, float) - Static method in class org.apache.commons.math.util.MathUtils

Returns true if both arguments are equal or within the range of allowed error (inclusive).

equals(float, float, int) - Static method in class org.apache.commons.math.util.MathUtils

Returns true if both arguments are equal or within the range of allowed error (inclusive).

equals(Object) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction

equals(Object) - Method in class org.apache.commons.math.complex.Complex

Test for the equality of two Complex objects.

equals(Object) - Method in class org.apache.commons.math.dfp.Dfp

Check if instance is equal to x.

equals(Object) - Method in class org.apache.commons.math.fraction.BigFraction

Test for the equality of two fractions.

equals(Object) - Method in class org.apache.commons.math.fraction.Fraction

Test for the equality of two fractions.

equals(Object) - Method in class org.apache.commons.math.geometry.Vector3D

Test for the equality of two 3D vectors.

equals(Object) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns true iff object is a FieldMatrix instance with the same dimensions as this and all corresponding matrix entries are equal.

equals(Object) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns true iff object is a RealMatrix instance with the same dimensions as this and all corresponding matrix entries are equal.

equals(Object) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Test for the equality of two real vectors.

equals(Object) - Method in class org.apache.commons.math.linear.ArrayRealVector

Test for the equality of two real vectors.

equals(Object) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns true iff object is a BigMatrixImpl instance with the same dimensions as this and all corresponding matrix entries are equal.

equals(Object) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Implementation Note: This performs an exact comparison, and as a result it is possible for a.subtract(b} to be the zero vector, while a.equals(b) == false.

equals(Object) - Method in class org.apache.commons.math.linear.SparseFieldVector

equals(Object) - Method in class org.apache.commons.math.optimization.linear.LinearConstraint

equals(Object) - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction

equals(Object) - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint

equals(Object) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic

Returns true iff object is an AbstractStorelessUnivariateStatistic returning the same values as this for getResult() and getN()

equals(Object) - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance

equals(Object) - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean

equals(Object) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns true iff object is a MultivariateSummaryStatistics instance and all statistics have the same values as this.

equals(Object) - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues

Returns true iff object is a StatisticalSummaryValues instance and all statistics have the same values as this.

equals(Object) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.

equals(Object) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns true iff object is a MultivariateSummaryStatistics instance and all statistics have the same values as this.

equals(Object) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.

equals(Object) - Method in class org.apache.commons.math.stat.Frequency

equals(Object) - Method in class org.apache.commons.math.util.BigReal

equals(Object) - Method in class org.apache.commons.math.util.DefaultTransformer

equals(Object) - Method in class org.apache.commons.math.util.ResizableDoubleArray

Returns true iff object is a ResizableDoubleArray with the same properties as this and an identical internal storage array.

equals(Object) - Method in class org.apache.commons.math.util.TransformerMap

equalsIncludingNaN(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils

Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by MathUtils.equalsIncludingNaN(double,double).

equalsIncludingNaN(double, double) - Static method in class org.apache.commons.math.util.MathUtils

Returns true if both arguments are NaN or neither is NaN and they are equal as defined by equals(x, y, 1).

equalsIncludingNaN(double, double, double) - Static method in class org.apache.commons.math.util.MathUtils

Returns true if both arguments are NaN or are equal or within the range of allowed error (inclusive).

equalsIncludingNaN(double, double, int) - Static method in class org.apache.commons.math.util.MathUtils

Returns true if both arguments are NaN or if they are equal as defined by equals(x, y, maxUlps.

equalsIncludingNaN(float[], float[]) - Static method in class org.apache.commons.math.util.MathUtils

Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by MathUtils.equalsIncludingNaN(float,float).

equalsIncludingNaN(float, float) - Static method in class org.apache.commons.math.util.MathUtils

Returns true if both arguments are NaN or neither is NaN and they are equal as defined by equals(x, y, 1).

equalsIncludingNaN(float, float, float) - Static method in class org.apache.commons.math.util.MathUtils

Returns true if both arguments are NaN or are equal or within the range of allowed error (inclusive).

equalsIncludingNaN(float, float, int) - Static method in class org.apache.commons.math.util.MathUtils

Returns true if both arguments are NaN or if they are equal as defined by equals(x, y, maxUlps).

erf(double) - Static method in class org.apache.commons.math.special.Erf

Returns the error function

Erf - Class in org.apache.commons.math.special

This is a utility class that provides computation methods related to the error functions.

erfc(double) - Static method in class org.apache.commons.math.special.Erf

Returns the complementary error function

ERR_SCALE - Static variable in class org.apache.commons.math.dfp.Dfp

The amount under/overflows are scaled by before going to trap handler

ERROR - org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy

Generate an error.

estimate - Variable in class org.apache.commons.math.estimation.EstimatedParameter

Deprecated.

Current value of the parameter

estimate(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Solve an estimation problem.

estimate(EstimationProblem) - Method in interface org.apache.commons.math.estimation.Estimator

Deprecated.

Solve an estimation problem.

estimate(EstimationProblem) - Method in class org.apache.commons.math.estimation.GaussNewtonEstimator

Deprecated.

Solve an estimation problem using a least squares criterion.

estimate(EstimationProblem) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator

Deprecated.

Solve an estimation problem using the Levenberg-Marquardt algorithm.

EstimatedParameter - Class in org.apache.commons.math.estimation

Deprecated.

as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general

EstimatedParameter(String, double) - Constructor for class org.apache.commons.math.estimation.EstimatedParameter

Deprecated.

Simple constructor.

EstimatedParameter(String, double, boolean) - Constructor for class org.apache.commons.math.estimation.EstimatedParameter

Deprecated.

Simple constructor.

EstimatedParameter(EstimatedParameter) - Constructor for class org.apache.commons.math.estimation.EstimatedParameter

Deprecated.

Copy constructor.

estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator

Compute the error ratio.

estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator

Compute the error ratio.

estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Compute the error ratio.

estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator

Compute the error ratio.

estimateErrorVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Estimates the variance of the error.

estimateRegressandVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Returns the variance of the regressand, ie Var(y).

estimateRegressandVariance() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression

Returns the variance of the regressand, ie Var(y).

estimateRegressionParameters() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Estimates the regression parameters b.

estimateRegressionParameters() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression

Estimates the regression parameters b.

estimateRegressionParametersStandardErrors() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Returns the standard errors of the regression parameters.

estimateRegressionParametersStandardErrors() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression

Returns the standard errors of the regression parameters.

estimateRegressionParametersVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Estimates the variance of the regression parameters, ie Var(b).

estimateRegressionParametersVariance() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression

Estimates the variance of the regression parameters, ie Var(b).

estimateRegressionStandardError() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Estimates the standard error of the regression.

estimateResiduals() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Estimates the residuals, ie u = y - X*b.

estimateResiduals() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression

Estimates the residuals, ie u = y - X*b.

EstimationException - Exception in org.apache.commons.math.estimation

Deprecated.

as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general

EstimationException(String, Object...) - Constructor for exception org.apache.commons.math.estimation.EstimationException

Deprecated.

Simple constructor.

EstimationException(Localizable, Object...) - Constructor for exception org.apache.commons.math.estimation.EstimationException

Deprecated.

Simple constructor.

EstimationProblem - Interface in org.apache.commons.math.estimation

Deprecated.

as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general

Estimator - Interface in org.apache.commons.math.estimation

Deprecated.

as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general

EuclideanIntegerPoint - Class in org.apache.commons.math.stat.clustering

A simple implementation of Clusterable for points with integer coordinates.

EuclideanIntegerPoint(int[]) - Constructor for class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint

Build an instance wrapping an integer array.

EULER_ANGLES_SINGULARITY - org.apache.commons.math.exception.util.LocalizedFormats

EulerIntegrator - Class in org.apache.commons.math.ode.nonstiff

This class implements a simple Euler integrator for Ordinary Differential Equations.

EulerIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.EulerIntegrator

Simple constructor.

evaluate() - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic

Returns the result of evaluating the statistic over the stored data.

evaluate(double) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile

Returns the result of evaluating the statistic over the stored data.

evaluate(double) - Method in class org.apache.commons.math.util.ContinuedFraction

Evaluates the continued fraction at the value x.

evaluate(double[]) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Evaluate the objective function on one point.

evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic

This default implementation calls AbstractStorelessUnivariateStatistic.clear(), then invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.

evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic

Returns the result of evaluating the statistic over the input array.

evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance

This method calculates SemiVariance for the entire array against the mean, using instance properties varianceDirection and biasCorrection.

evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

Returns the Standard Deviation of the entries in the input array, or Double.NaN if the array is empty.

evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance

Returns the variance of the entries in the input array, or Double.NaN if the array is empty.

evaluate(double[]) - Method in interface org.apache.commons.math.stat.descriptive.UnivariateStatistic

Returns the result of evaluating the statistic over the input array.

evaluate(double[], double) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction

Uses Horner's Method to evaluate the polynomial with the given coefficients at the argument.

evaluate(double[], double) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance

Returns the SemiVariance of the designated values against the cutoff, using instance properties variancDirection and biasCorrection.

evaluate(double[], double) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

Returns the Standard Deviation of the entries in the input array, using the precomputed mean value.

evaluate(double[], double) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance

Returns the variance of the entries in the input array, using the precomputed mean value.

evaluate(double[], double) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile

Returns an estimate of the pth percentile of the values in the values array.

evaluate(double[], double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.Mean

Returns the weighted arithmetic mean of the entries in the input array.

evaluate(double[], double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance

Returns the weighted variance of the entries in the the input array.

evaluate(double[], double[]) - Method in class org.apache.commons.math.stat.descriptive.summary.Product

Returns the weighted product of the entries in the input array.

evaluate(double[], double[]) - Method in class org.apache.commons.math.stat.descriptive.summary.Sum

The weighted sum of the entries in the the input array.

evaluate(double[], double[]) - Method in interface org.apache.commons.math.stat.descriptive.WeightedEvaluation

Returns the result of evaluating the statistic over the input array, using the supplied weights.

evaluate(double[], double[], double) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm

Evaluate the Lagrange polynomial using Neville's Algorithm.

evaluate(double[], double[], double) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm

Evaluate the Newton polynomial using nested multiplication.

evaluate(double[], double[], double) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance

Returns the weighted variance of the values in the input array, using the precomputed weighted mean value.

evaluate(double[], double[], double, int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance

Returns the weighted variance of the entries in the specified portion of the input array, using the precomputed weighted mean value.

evaluate(double[], double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Mean

Returns the weighted arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance

Returns the weighted variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.Product

Returns the weighted product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.Sum

The weighted sum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], double[], int, int) - Method in interface org.apache.commons.math.stat.descriptive.WeightedEvaluation

Returns the result of evaluating the statistic over the specified entries in the input array, using corresponding entries in the supplied weights array.

evaluate(double[], double, int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

Returns the Standard Deviation of the entries in the specified portion of the input array, using the precomputed mean value.

evaluate(double[], double, int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance

Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.

evaluate(double[], double, SemiVariance.Direction) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance

Returns the SemiVariance of the designated values against the cutoff in the given direction, using the current value of the biasCorrection instance property.

evaluate(double[], double, SemiVariance.Direction, boolean, int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance

Returns the SemiVariance of the designated values against the cutoff in the given direction with the provided bias correction.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic

This default implementation calls AbstractStorelessUnivariateStatistic.clear(), then invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic

Returns the result of evaluating the statistic over the specified entries in the input array.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean

Returns the geometric mean of the entries in the specified portion of the input array.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis

Returns the kurtosis of the entries in the specified portion of the input array.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Mean

Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance

Returns the SemiVariance of the designated values against the mean, using instance properties varianceDirection and biasCorrection.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness

Returns the Skewness of the entries in the specifed portion of the input array.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

Returns the Standard Deviation of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance

Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.rank.Max

Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.rank.Min

Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile

Returns an estimate of the quantileth percentile of the designated values in the values array.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.Product

Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.Sum

The sum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs

Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares

Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in interface org.apache.commons.math.stat.descriptive.UnivariateStatistic

Returns the result of evaluating the statistic over the specified entries in the input array.

evaluate(double[], int, int, double) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile

Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values.

evaluate(double[], SemiVariance.Direction) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance

This method calculates SemiVariance for the entire array against the mean, using the current value of the biasCorrection instance property.

evaluate(double, double) - Method in class org.apache.commons.math.util.ContinuedFraction

Evaluates the continued fraction at the value x.

evaluate(double, double, int) - Method in class org.apache.commons.math.util.ContinuedFraction

Evaluates the continued fraction at the value x.

evaluate(double, int) - Method in class org.apache.commons.math.util.ContinuedFraction

Evaluates the continued fraction at the value x.

evaluateSimplex(Comparator<RealPointValuePair>) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Evaluate all the non-evaluated points of the simplex.

evaluateStep(StepInterpolator) - Method in class org.apache.commons.math.ode.events.CombinedEventsManager

Deprecated.

Evaluate the impact of the proposed step on all managed event handlers.

evaluateStep(StepInterpolator) - Method in class org.apache.commons.math.ode.events.EventState

Evaluate the impact of the proposed step on the event handler.

EVALUATION_FAILED - org.apache.commons.math.exception.util.LocalizedFormats

EventException - Exception in org.apache.commons.math.ode.events

This exception is made available to users to report the error conditions that are triggered by EventHandler

EventException(String, Object...) - Constructor for exception org.apache.commons.math.ode.events.EventException

Deprecated.

as of 2.2 replaced by EventException(Localizable, Object...)

EventException(Throwable) - Constructor for exception org.apache.commons.math.ode.events.EventException

Create an exception with a given root cause.

EventException(Localizable, Object...) - Constructor for exception org.apache.commons.math.ode.events.EventException

Simple constructor.

EventHandler - Interface in org.apache.commons.math.ode.events

This interface represents a handler for discrete events triggered during ODE integration.

EventHandlerWithJacobians - Interface in org.apache.commons.math.ode.jacobians

Deprecated.

as of 2.2 the complete package is deprecated, it will be replaced in 3.0 by a completely rewritten implementation

eventOccurred(double, double[], boolean) - Method in interface org.apache.commons.math.ode.events.EventHandler

Handle an event and choose what to do next.

eventOccurred(double, double[], double[][], double[][], boolean) - Method in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians

Deprecated.

Handle an event and choose what to do next.

EventState - Class in org.apache.commons.math.ode.events

This class handles the state for one event handler during integration steps.

EventState(EventHandler, double, double, int) - Constructor for class org.apache.commons.math.ode.events.EventState

Simple constructor.

evolve(Population, StoppingCondition) - Method in class org.apache.commons.math.genetics.GeneticAlgorithm

Evolve the given population.

exp - Variable in class org.apache.commons.math.dfp.Dfp

Exponent.

exp() - Method in class org.apache.commons.math.complex.Complex

Compute the exponential function of this complex number.

exp(double) - Static method in class org.apache.commons.math.util.FastMath

Exponential function.

exp(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath

Computes e to the given power.

EXP - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.exp method wrapped as a ComposableFunction.

expand() - Method in class org.apache.commons.math.util.ResizableDoubleArray

Expands the internal storage array using the expansion factor.

EXPANSION_FACTOR_SMALLER_THAN_ONE - org.apache.commons.math.exception.util.LocalizedFormats

expansionFactor - Variable in class org.apache.commons.math.util.ResizableDoubleArray

The expansion factor of the array.

expansionMode - Variable in class org.apache.commons.math.util.ResizableDoubleArray

Determines whether array expansion by expansionFactor is additive or multiplicative.

expInternal(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath

Computes e to the given power.

expm1(double) - Static method in class org.apache.commons.math.util.FastMath

Compute exp(x) - 1

EXPM1 - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.expm1 method wrapped as a ComposableFunction.

EXPONENTIAL_MODE - Static variable in class org.apache.commons.math.random.ValueServer

Exponential random deviates with mean = μ.

ExponentialDistribution - Interface in org.apache.commons.math.distribution

The Exponential Distribution.

ExponentialDistributionImpl - Class in org.apache.commons.math.distribution

The default implementation of ExponentialDistribution.

ExponentialDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.ExponentialDistributionImpl

Create a exponential distribution with the given mean.

ExponentialDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.ExponentialDistributionImpl

Create a exponential distribution with the given mean.

ExtendedFirstOrderDifferentialEquations - Interface in org.apache.commons.math.ode

This interface represents a first order differential equations set with a main set of equations and an extension set.

extractField(T[]) - Static method in class org.apache.commons.math.linear.AbstractFieldMatrix

Get the elements type from an array.

extractField(T[][]) - Static method in class org.apache.commons.math.linear.AbstractFieldMatrix

Get the elements type from an array.

F

f - Variable in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl

Deprecated.

as of 2.0 the integrand function is passed as an argument to the UnivariateRealIntegrator.integrate(UnivariateRealFunction, double, double)method.

f - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

as of 2.0 the function to solve is passed as an argument to the UnivariateRealSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.

factorial(int) - Static method in class org.apache.commons.math.util.MathUtils

Returns n!.

FACTORIAL_NEGATIVE_PARAMETER - org.apache.commons.math.exception.util.LocalizedFormats

factorialDouble(int) - Static method in class org.apache.commons.math.util.MathUtils

Returns n!.

factorialLog(int) - Static method in class org.apache.commons.math.util.MathUtils

Returns the natural logarithm of n!.

FAILED_BRACKETING - org.apache.commons.math.exception.util.LocalizedFormats

FAILED_FRACTION_CONVERSION - org.apache.commons.math.exception.util.LocalizedFormats

FARTHEST_POINT - org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy

Create a cluster around the point farthest from its centroid.

FastCosineTransformer - Class in org.apache.commons.math.transform

Implements the Fast Cosine Transform for transformation of one-dimensional data sets.

FastCosineTransformer() - Constructor for class org.apache.commons.math.transform.FastCosineTransformer

Construct a default transformer.

FastFourierTransformer - Class in org.apache.commons.math.transform

Implements the Fast Fourier Transform for transformation of one-dimensional data sets.

FastFourierTransformer() - Constructor for class org.apache.commons.math.transform.FastFourierTransformer

Construct a default transformer.

FastHadamardTransformer - Class in org.apache.commons.math.transform

Implements the Fast Hadamard Transform (FHT).

FastHadamardTransformer() - Constructor for class org.apache.commons.math.transform.FastHadamardTransformer

FastMath - Class in org.apache.commons.math.util

Faster, more accurate, portable alternative to StrictMath.

FastSineTransformer - Class in org.apache.commons.math.transform

Implements the Fast Sine Transform for transformation of one-dimensional data sets.

FastSineTransformer() - Constructor for class org.apache.commons.math.transform.FastSineTransformer

Construct a default transformer.

fct(double[]) - Method in class org.apache.commons.math.transform.FastCosineTransformer

Perform the FCT algorithm (including inverse).

FDistribution - Interface in org.apache.commons.math.distribution

F-Distribution.

FDistributionImpl - Class in org.apache.commons.math.distribution

Default implementation of FDistribution.

FDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.FDistributionImpl

Create a F distribution using the given degrees of freedom.

FDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.FDistributionImpl

Create a F distribution using the given degrees of freedom and inverse cumulative probability accuracy.

fft(double[], boolean) - Method in class org.apache.commons.math.transform.FastFourierTransformer

Perform the base-4 Cooley-Tukey FFT algorithm (including inverse).

fft(Complex[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer

Perform the base-4 Cooley-Tukey FFT algorithm (including inverse).

fht(double[]) - Method in class org.apache.commons.math.transform.FastHadamardTransformer

The FHT (Fast Hadamard Transformation) which uses only subtraction and addition.

fht(int[]) - Method in class org.apache.commons.math.transform.FastHadamardTransformer

The FHT (Fast Hadamard Transformation) which uses only subtraction and addition.

Field<T> - Interface in org.apache.commons.math

Interface representing a field.

FieldDecompositionSolver<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear

Interface handling decomposition algorithms that can solve A × X = B.

FieldElement<T> - Interface in org.apache.commons.math

Interface representing field elements.

FieldLUDecomposition<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear

An interface to classes that implement an algorithm to calculate the LU-decomposition of a real matrix.

FieldLUDecompositionImpl<T extends FieldElement<T>> - Class in org.apache.commons.math.linear

Calculates the LUP-decomposition of a square matrix.

FieldLUDecompositionImpl(FieldMatrix<T>) - Constructor for class org.apache.commons.math.linear.FieldLUDecompositionImpl

Calculates the LU-decomposition of the given matrix.

FieldMatrix<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear

Interface defining field-valued matrix with basic algebraic operations.

FieldMatrixChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math.linear

Interface defining a visitor for matrix entries.

FieldMatrixPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math.linear

Interface defining a visitor for matrix entries.

FieldVector<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear

Interface defining a field-valued vector with basic algebraic operations.

fill(double[]) - Method in class org.apache.commons.math.random.ValueServer

Fills the input array with values generated using getNext() repeatedly.

fill(int) - Method in class org.apache.commons.math.random.ValueServer

Returns an array of length length with values generated using getNext() repeatedly.

filterStep(double, boolean, boolean) - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Filter the integration step.

finalizeStep() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Finalize the step.

findSameChromosome(Population) - Method in class org.apache.commons.math.genetics.Chromosome

Searches the population for another chromosome with the same representation.

FINITE - Static variable in class org.apache.commons.math.dfp.Dfp

Indicator value for normal finite numbers.

FIRST_COLUMNS_NOT_INITIALIZED_YET - org.apache.commons.math.exception.util.LocalizedFormats

FIRST_ELEMENT_NOT_ZERO - org.apache.commons.math.exception.util.LocalizedFormats

FIRST_ROWS_NOT_INITIALIZED_YET - org.apache.commons.math.exception.util.LocalizedFormats

FirstMoment - Class in org.apache.commons.math.stat.descriptive.moment

Computes the first moment (arithmetic mean).

FirstMoment() - Constructor for class org.apache.commons.math.stat.descriptive.moment.FirstMoment

Create a FirstMoment instance

FirstMoment(FirstMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.FirstMoment

Copy constructor, creates a new FirstMoment identical to the original

FirstOrderConverter - Class in org.apache.commons.math.ode

This class converts second order differential equations to first order ones.

FirstOrderConverter(SecondOrderDifferentialEquations) - Constructor for class org.apache.commons.math.ode.FirstOrderConverter

Simple constructor.

FirstOrderDifferentialEquations - Interface in org.apache.commons.math.ode

This interface represents a first order differential equations set.

FirstOrderIntegrator - Interface in org.apache.commons.math.ode

This interface represents a first order integrator for differential equations.

FirstOrderIntegratorWithJacobians - Class in org.apache.commons.math.ode.jacobians

Deprecated.

as of 2.2 the complete package is deprecated, it will be replaced in 3.0 by a completely rewritten implementation

FirstOrderIntegratorWithJacobians(FirstOrderIntegrator, ODEWithJacobians) - Constructor for class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians

Deprecated.

Build an enhanced integrator using ODE builtin jacobian computation features.

FirstOrderIntegratorWithJacobians(FirstOrderIntegrator, ParameterizedODE, double[], double[], double[]) - Constructor for class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians

Deprecated.

Build an enhanced integrator using internal differentiation to compute jacobians.

fit() - Method in class org.apache.commons.math.optimization.fitting.GaussianFitter

Fits Gaussian function to the observed points.

fit() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFitter

Fit an harmonic function to the observed points.

fit() - Method in class org.apache.commons.math.optimization.fitting.PolynomialFitter

Get the polynomial fitting the weighted (x, y) points.

fit(ParametricRealFunction, double[]) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter

Fit a curve.

fitness() - Method in interface org.apache.commons.math.genetics.Fitness

Compute the fitness.

Fitness - Interface in org.apache.commons.math.genetics

Fitness of a chromosome.

fix1stArgument(double) - Method in class org.apache.commons.math.analysis.BinaryFunction

Deprecated.

Get a composable function by fixing the first argument of the instance.

fix2ndArgument(double) - Method in class org.apache.commons.math.analysis.BinaryFunction

Deprecated.

Get a composable function by fixing the second argument of the instance.

FIXED - org.apache.commons.math.stat.ranking.NaNStrategy

NaNs are left in place

FixedGenerationCount - Class in org.apache.commons.math.genetics

Stops after a fixed number of generations.

FixedGenerationCount(int) - Constructor for class org.apache.commons.math.genetics.FixedGenerationCount

Create a new FixedGenerationCount instance.

FixedStepHandler - Interface in org.apache.commons.math.ode.sampling

This interface represents a handler that should be called after each successful fixed step.

FLAG_DIV_ZERO - Static variable in class org.apache.commons.math.dfp.DfpField

IEEE 854-1987 flag for division by zero.

FLAG_INEXACT - Static variable in class org.apache.commons.math.dfp.DfpField

IEEE 854-1987 flag for inexact result.

FLAG_INVALID - Static variable in class org.apache.commons.math.dfp.DfpField

IEEE 854-1987 flag for invalid operation.

FLAG_OVERFLOW - Static variable in class org.apache.commons.math.dfp.DfpField

IEEE 854-1987 flag for overflow.

FLAG_UNDERFLOW - Static variable in class org.apache.commons.math.dfp.DfpField

IEEE 854-1987 flag for underflow.

flatten(Object[]) - Static method in class org.apache.commons.math.exception.util.ArgUtils

Transform a multidimensional array into a one-dimensional list.

FLETCHER_REEVES - org.apache.commons.math.optimization.general.ConjugateGradientFormula

Fletcher-Reeves formula.

floatValue() - Method in class org.apache.commons.math.fraction.BigFraction

Gets the fraction as a float.

floatValue() - Method in class org.apache.commons.math.fraction.Fraction

Gets the fraction as a float.

floor() - Method in class org.apache.commons.math.dfp.Dfp

Round to an integer using the round floor mode.

floor(double) - Static method in class org.apache.commons.math.util.FastMath

Get the largest whole number smaller than x.

FLOOR - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.floor method wrapped as a ComposableFunction.

format(double, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.AbstractFormat

Formats a double value as a fraction and appends the result to a StringBuffer.

format(long, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.AbstractFormat

Formats a long value as a fraction and appends the result to a StringBuffer.

format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.complex.ComplexFormat

Formats a object to produce a string.

format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.BigFractionFormat

Formats an object and appends the result to a StringBuffer.

format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.FractionFormat

Formats an object and appends the result to a StringBuffer.

format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.geometry.Vector3DFormat

Formats a object to produce a string.

format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.linear.RealVectorFormat

Formats a object to produce a string.

format(Complex, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.complex.ComplexFormat

Formats a Complex object to produce a string.

format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.BigFractionFormat

Formats a BigFraction object to produce a string.

format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.ProperBigFractionFormat

Formats a BigFraction object to produce a string.

format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.FractionFormat

Formats a Fraction object to produce a string.

format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.ProperFractionFormat

Formats a Fraction object to produce a string.

format(Vector3D, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.geometry.Vector3DFormat

Formats a Vector3D object to produce a string.

format(RealVector, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.linear.RealVectorFormat

Formats a RealVector object to produce a string.

formatBigFraction(BigFraction) - Static method in class org.apache.commons.math.fraction.BigFractionFormat

This static method calls formatBigFraction() on a default instance of BigFractionFormat.

formatComplex(Complex) - Static method in class org.apache.commons.math.complex.ComplexFormat

This static method calls Format.format(Object) on a default instance of ComplexFormat.

formatDouble(double, NumberFormat, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.util.CompositeFormat

Formats a double value to produce a string.

formatFraction(Fraction) - Static method in class org.apache.commons.math.fraction.FractionFormat

This static method calls formatFraction() on a default instance of FractionFormat.

formatRealVector(RealVector) - Static method in class org.apache.commons.math.linear.RealVectorFormat

This static method calls Format.format(Object) on a default instance of RealVectorFormat.

formatVector3D(Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3DFormat

This static method calls Format.format(Object) on a default instance of Vector3DFormat.

FOUR_FIFTHS - Static variable in class org.apache.commons.math.fraction.BigFraction

A fraction representing "4/5".

FOUR_FIFTHS - Static variable in class org.apache.commons.math.fraction.Fraction

A fraction representing "4/5".

FourthMoment - Class in org.apache.commons.math.stat.descriptive.moment

Computes a statistic related to the Fourth Central Moment.

FourthMoment() - Constructor for class org.apache.commons.math.stat.descriptive.moment.FourthMoment

Create a FourthMoment instance

FourthMoment(FourthMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.FourthMoment

Copy constructor, creates a new FourthMoment identical to the original

Fraction - Class in org.apache.commons.math.fraction

Representation of a rational number.

Fraction(double) - Constructor for class org.apache.commons.math.fraction.Fraction

Create a fraction given the double value.

Fraction(double, double, int) - Constructor for class org.apache.commons.math.fraction.Fraction

Create a fraction given the double value and maximum error allowed.

Fraction(double, int) - Constructor for class org.apache.commons.math.fraction.Fraction

Create a fraction given the double value and maximum denominator.

Fraction(int) - Constructor for class org.apache.commons.math.fraction.Fraction

Create a fraction from an int.

Fraction(int, int) - Constructor for class org.apache.commons.math.fraction.Fraction

Create a fraction given the numerator and denominator.

FRACTION - org.apache.commons.math.exception.util.LocalizedFormats

FRACTION_CONVERSION_OVERFLOW - org.apache.commons.math.exception.util.LocalizedFormats

FractionConversionException - Exception in org.apache.commons.math.fraction

Error thrown when a double value cannot be converted to a fraction in the allowed number of iterations.

FractionConversionException(double, int) - Constructor for exception org.apache.commons.math.fraction.FractionConversionException

Constructs an exception with specified formatted detail message.

FractionConversionException(double, long, long) - Constructor for exception org.apache.commons.math.fraction.FractionConversionException

Constructs an exception with specified formatted detail message.

FractionField - Class in org.apache.commons.math.fraction

Representation of the fractional numbers field.

FractionFormat - Class in org.apache.commons.math.fraction

Formats a Fraction number in proper format or improper format.

FractionFormat() - Constructor for class org.apache.commons.math.fraction.FractionFormat

Create an improper formatting instance with the default number format for the numerator and denominator.

FractionFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.FractionFormat

Create an improper formatting instance with a custom number format for both the numerator and denominator.

FractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.FractionFormat

Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.

fractionMatrixToRealMatrix(FieldMatrix<Fraction>) - Static method in class org.apache.commons.math.linear.MatrixUtils

Convert a FieldMatrix/Fraction matrix to a RealMatrix.

FREE - Static variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap

Status indicator for free table entries.

FREE - Static variable in class org.apache.commons.math.util.OpenIntToFieldHashMap

Status indicator for free table entries.

Frequency - Class in org.apache.commons.math.stat

Maintains a frequency distribution.

Frequency() - Constructor for class org.apache.commons.math.stat.Frequency

Default constructor.

Frequency(Comparator<?>) - Constructor for class org.apache.commons.math.stat.Frequency

Constructor allowing values Comparator to be specified.

fst(double[]) - Method in class org.apache.commons.math.transform.FastSineTransformer

Perform the FST algorithm (including inverse).

FULL - Static variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap

Status indicator for full table entries.

FULL - Static variable in class org.apache.commons.math.util.OpenIntToFieldHashMap

Status indicator for full table entries.

function - Variable in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer

Linear objective function.

FUNCTION - org.apache.commons.math.exception.util.LocalizedFormats

FUNCTION_NOT_DIFFERENTIABLE - org.apache.commons.math.exception.util.LocalizedFormats

FUNCTION_NOT_POLYNOMIAL - org.apache.commons.math.exception.util.LocalizedFormats

FunctionEvaluationException - Exception in org.apache.commons.math

Exception thrown when an error occurs evaluating a function.

FunctionEvaluationException(double) - Constructor for exception org.apache.commons.math.FunctionEvaluationException

Construct an exception indicating the argument value that caused the function evaluation to fail.

FunctionEvaluationException(double[]) - Constructor for exception org.apache.commons.math.FunctionEvaluationException

Construct an exception indicating the argument value that caused the function evaluation to fail.

FunctionEvaluationException(double[], String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException

Constructs an exception with specified formatted detail message.

FunctionEvaluationException(double[], Localizable, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException

Constructs an exception with specified formatted detail message.

FunctionEvaluationException(double, String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException

Constructs an exception with specified formatted detail message.

FunctionEvaluationException(double, Localizable, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException

Constructs an exception with specified formatted detail message.

FunctionEvaluationException(Throwable, double) - Constructor for exception org.apache.commons.math.FunctionEvaluationException

Constructs an exception with specified root cause.

FunctionEvaluationException(Throwable, double[]) - Constructor for exception org.apache.commons.math.FunctionEvaluationException

Constructs an exception with specified root cause.

FunctionEvaluationException(Throwable, double[], String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException

Constructs an exception with specified formatted detail message and root cause.

FunctionEvaluationException(Throwable, double[], Localizable, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException

Constructs an exception with specified formatted detail message and root cause.

FunctionEvaluationException(Throwable, double, String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException

Constructs an exception with specified formatted detail message and root cause.

FunctionEvaluationException(Throwable, double, Localizable, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException

Constructs an exception with specified formatted detail message and root cause.

functionValue - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Value of the function at the last computed result.

functionValue - Variable in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Value of the function at the last computed result.

functionValueAccuracy - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Maximum error of function.

G

g(double, double[]) - Method in interface org.apache.commons.math.ode.events.EventHandler

Compute the value of the switching function.

g(double, double[], double[][], double[][]) - Method in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians

Deprecated.

Compute the value of the switching function.

Gamma - Class in org.apache.commons.math.special

This is a utility class that provides computation methods related to the Gamma family of functions.

GAMMA - Static variable in class org.apache.commons.math.special.Gamma

Euler-Mascheroni constant

GammaDistribution - Interface in org.apache.commons.math.distribution

The Gamma Distribution.

GammaDistributionImpl - Class in org.apache.commons.math.distribution

The default implementation of GammaDistribution.

GammaDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.GammaDistributionImpl

Create a new gamma distribution with the given alpha and beta values.

GammaDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.GammaDistributionImpl

Create a new gamma distribution with the given alpha and beta values.

GAUSSIAN_MODE - Static variable in class org.apache.commons.math.random.ValueServer

Gaussian random deviates with mean = μ, std dev = σ.

GaussianDerivativeFunction - Class in org.apache.commons.math.optimization.fitting

The derivative of GaussianFunction.

GaussianDerivativeFunction(double[]) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianDerivativeFunction

Constructs an instance with the specified parameters.

GaussianDerivativeFunction(double, double, double) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianDerivativeFunction

Constructs an instance with the specified parameters.

GaussianFitter - Class in org.apache.commons.math.optimization.fitting

Fits points to a Gaussian function (that is, a GaussianFunction).

GaussianFitter(DifferentiableMultivariateVectorialOptimizer) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianFitter

Constructs an instance using the specified optimizer.

GaussianFunction - Class in org.apache.commons.math.optimization.fitting

A Gaussian function.

GaussianFunction(double[]) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianFunction

Constructs an instance with the specified parameters.

GaussianFunction(double, double, double, double) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianFunction

Constructs an instance with the specified parameters.

GaussianParametersGuesser - Class in org.apache.commons.math.optimization.fitting

Guesses the parameters (a, b, c, and d) of a ParametricGaussianFunction based on the specified observed points.

GaussianParametersGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianParametersGuesser

Constructs instance with the specified observed points.

GaussianRandomGenerator - Class in org.apache.commons.math.random

This class is a gaussian normalized random generator for scalars.

GaussianRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math.random.GaussianRandomGenerator

Create a new generator.

GaussNewtonEstimator - Class in org.apache.commons.math.estimation

Deprecated.

as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general

GaussNewtonEstimator() - Constructor for class org.apache.commons.math.estimation.GaussNewtonEstimator

Deprecated.

Simple constructor with default settings.

GaussNewtonEstimator(int, double, double) - Constructor for class org.apache.commons.math.estimation.GaussNewtonEstimator

Deprecated.

Simple constructor.

GaussNewtonOptimizer - Class in org.apache.commons.math.optimization.general

Gauss-Newton least-squares solver.

GaussNewtonOptimizer(boolean) - Constructor for class org.apache.commons.math.optimization.general.GaussNewtonOptimizer

Simple constructor with default settings.

gcd(int, int) - Static method in class org.apache.commons.math.util.MathUtils

Gets the greatest common divisor of the absolute value of two numbers, using the "binary gcd" method which avoids division and modulo operations.

gcd(long, long) - Static method in class org.apache.commons.math.util.MathUtils

Gets the greatest common divisor of the absolute value of two numbers, using the "binary gcd" method which avoids division and modulo operations.

GCD_OVERFLOW_32_BITS - org.apache.commons.math.exception.util.LocalizedFormats

GCD_OVERFLOW_64_BITS - org.apache.commons.math.exception.util.LocalizedFormats

GeneticAlgorithm - Class in org.apache.commons.math.genetics

Implementation of a genetic algorithm.

GeneticAlgorithm(CrossoverPolicy, double, MutationPolicy, double, SelectionPolicy) - Constructor for class org.apache.commons.math.genetics.GeneticAlgorithm

geoMean - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics

geoMean of values that have been added

geometricMean(double[]) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the geometric mean of the entries in the input array, or Double.NaN if the array is empty.

geometricMean(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the geometric mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

GeometricMean - Class in org.apache.commons.math.stat.descriptive.moment

Returns the geometric mean of the available values.

GeometricMean() - Constructor for class org.apache.commons.math.stat.descriptive.moment.GeometricMean

Create a GeometricMean instance

GeometricMean(GeometricMean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.GeometricMean

Copy constructor, creates a new GeometricMean identical to the original

GeometricMean(SumOfLogs) - Constructor for class org.apache.commons.math.stat.descriptive.moment.GeometricMean

Create a GeometricMean instance using the given SumOfLogs instance

GEQ - org.apache.commons.math.optimization.linear.Relationship

Greater than or equal relationship.

get(int) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap

Get the stored value associated with the given key

get(int) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap

Get the stored value associated with the given key

getA() - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction

Gets a parameter value.

getA(int, double) - Method in class org.apache.commons.math.util.ContinuedFraction

Access the n-th a coefficient of the continued fraction.

getA1() - Method in class org.apache.commons.math.geometry.RotationOrder

Get the axis of the first rotation.

getA2() - Method in class org.apache.commons.math.geometry.RotationOrder

Get the axis of the second rotation.

getA3() - Method in class org.apache.commons.math.geometry.RotationOrder

Get the axis of the second rotation.

getAbsoluteAccuracy() - Method in interface org.apache.commons.math.ConvergingAlgorithm

Deprecated.

Get the actual absolute accuracy.

getAbsoluteAccuracy() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Get the actual absolute accuracy.

getAbsoluteAccuracy() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Get the actual absolute accuracy.

getAllParameters() - Method in interface org.apache.commons.math.estimation.EstimationProblem

Deprecated.

Get all the parameters of the problem.

getAllParameters() - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem

Deprecated.

Get all the parameters of the problem.

getAlpha() - Method in interface org.apache.commons.math.distribution.BetaDistribution

Access the shape parameter, alpha

getAlpha() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

Access the shape parameter, alpha

getAlpha() - Method in interface org.apache.commons.math.distribution.GammaDistribution

Access the shape parameter, alpha

getAlpha() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

Access the shape parameter, alpha

getAlpha() - Method in class org.apache.commons.math.geometry.Vector3D

Get the azimuth of the vector.

getAmplitude() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction

Get the amplitude a.

getAngle() - Method in class org.apache.commons.math.geometry.Rotation

Get the angle of the rotation.

getAngles(RotationOrder) - Method in class org.apache.commons.math.geometry.Rotation

Get the Cardan or Euler angles corresponding to the instance.

getArgument() - Method in class org.apache.commons.math.complex.Complex

Compute the argument of this complex number.

getArgument() - Method in exception org.apache.commons.math.exception.MathIllegalNumberException

getArgument() - Method in exception org.apache.commons.math.FunctionEvaluationException

Returns the function argument that caused this exception.

getArguments() - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException

Gets the arguments used to build the message of this throwable.

getArguments() - Method in exception org.apache.commons.math.exception.MathIllegalStateException

Gets the arguments used to build the message of this throwable.

getArguments() - Method in interface org.apache.commons.math.exception.MathThrowable

Gets the arguments used to build the message of this throwable.

getArguments() - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException

Gets the arguments used to build the message of this throwable.

getArguments() - Method in exception org.apache.commons.math.MathException

Gets the arguments used to build the message of this throwable.

getArguments() - Method in exception org.apache.commons.math.MathRuntimeException

Gets the arguments used to build the message of this throwable.

getArity() - Method in class org.apache.commons.math.genetics.TournamentSelection

Gets the arity (number of chromosomes drawn to the tournament).

getAvailableLocales() - Static method in class org.apache.commons.math.complex.ComplexFormat

Get the set of locales for which complex formats are available.

getAvailableLocales() - Static method in class org.apache.commons.math.fraction.BigFractionFormat

Get the set of locales for which complex formats are available.

getAvailableLocales() - Static method in class org.apache.commons.math.fraction.FractionFormat

Get the set of locales for which complex formats are available.

getAvailableLocales() - Static method in class org.apache.commons.math.geometry.Vector3DFormat

Get the set of locales for which 3D vectors formats are available.

getAvailableLocales() - Static method in class org.apache.commons.math.linear.RealVectorFormat

Get the set of locales for which real vectors formats are available.

getAxis() - Method in class org.apache.commons.math.geometry.Rotation

Get the normalized axis of the rotation.

getB() - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction

Gets b parameter value.

getB(int, double) - Method in class org.apache.commons.math.util.ContinuedFraction

Access the n-th b coefficient of the continued fraction.

getBeta() - Method in interface org.apache.commons.math.distribution.BetaDistribution

Access the shape parameter, beta

getBeta() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

Access the shape parameter, beta

getBeta() - Method in interface org.apache.commons.math.distribution.GammaDistribution

Access the scale parameter, beta

getBeta() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

Access the scale parameter, beta

getBinCount() - Method in interface org.apache.commons.math.random.EmpiricalDistribution

Returns the number of bins.

getBinCount() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl

Returns the number of bins.

getBinStats() - Method in interface org.apache.commons.math.random.EmpiricalDistribution

Returns a list of SummaryStatistics containing statistics describing the values in each of the bins.

getBinStats() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl

Returns a List of SummaryStatistics instances containing statistics describing the values in each of the bins.

getBoundIsAllowed() - Method in exception org.apache.commons.math.exception.NumberIsTooLargeException

getBoundIsAllowed() - Method in exception org.apache.commons.math.exception.NumberIsTooSmallException

getC() - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction

Gets c parameter value.

getCenter() - Method in class org.apache.commons.math.stat.clustering.Cluster

Get the point chosen to be the center of this cluster.

getCenters() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm

Returns a copy of the centers array.

getChiSquare() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Get a Chi-Square-like value assuming the N residuals follow N distinct normal distributions centered on 0 and whose variances are the reciprocal of the weights.

getChiSquare(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Get the Chi-Square value.

getChiSquareTest() - Static method in class org.apache.commons.math.stat.inference.TestUtils

Deprecated.

2.2 will be removed in 3.0

getChromosomes() - Method in class org.apache.commons.math.genetics.ListPopulation

Access the list of chromosomes.

getCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction

Returns a copy of the coefficients array.

getCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm

Returns a copy of the coefficients array.

getCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm

Returns a copy of the coefficients array.

getCoefficients() - Method in class org.apache.commons.math.optimization.linear.LinearConstraint

Get the coefficients of the constraint (left hand side).

getCoefficients() - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction

Get the coefficients of the linear equation being optimized.

getColumn(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the entries in column number col as an array.

getColumn(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the entries in column number col as an array.

getColumn(int) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the entries in column number col as an array.

getColumn(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the entries in column number col as an array.

getColumn(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the entries in column number col as an array.

getColumn(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the entries in column number col as an array.

getColumn(int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the entries in column number col as an array.

getColumn(int) - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the entries in column number col as an array.

getColumnAsDoubleArray(int) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the entries in column number col as an array of double values.

getColumnAsDoubleArray(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the entries in column number col as an array of double values.

getColumnDimension() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the number of columns in the matrix.

getColumnDimension() - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the number of columns in the matrix.

getColumnDimension() - Method in interface org.apache.commons.math.linear.AnyMatrix

Returns the number of columns in the matrix.

getColumnDimension() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Returns the number of columns in the matrix.

getColumnDimension() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Returns the number of columns in the matrix.

getColumnDimension() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the number of columns in the matrix.

getColumnDimension() - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the number of columns in the matrix.

getColumnDimension() - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the number of columns in the matrix.

getColumnDimension() - Method in class org.apache.commons.math.linear.OpenMapRealMatrix

Returns the number of columns in the matrix.

getColumnDimension() - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Returns the number of columns in the matrix.

getColumnDimension() - Method in class org.apache.commons.math.linear.SparseFieldMatrix

Returns the number of columns in the matrix.

getColumnMatrix(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the entries in column number column as a column matrix.

getColumnMatrix(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the entries in column number column as a column matrix.

getColumnMatrix(int) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the entries in column number column as a column matrix.

getColumnMatrix(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the entries in column number column as a column matrix.

getColumnMatrix(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the entries in column number column as a column matrix.

getColumnMatrix(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the entries in column number column as a column matrix.

getColumnMatrix(int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the entries in column number column as a column matrix.

getColumnMatrix(int) - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the entries in column number column as a column matrix.

getColumnVector(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the entries in column number column as a vector.

getColumnVector(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the entries in column number column as a vector.

getColumnVector(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the entries in column number column as a vector.

getColumnVector(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the entries in column number column as a vector.

getColumnVector(int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the entries in column number column as a vector.

getColumnVector(int) - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the entries in column number column as a vector.

getConditionNumber() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition

Return the condition number of the matrix.

getConditionNumber() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl

Return the condition number of the matrix.

getConstantTerm() - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction

Get the constant of the linear equation being optimized.

getContractionCriteria() - Method in class org.apache.commons.math.util.ResizableDoubleArray

The contraction criteria defines when the internal array will contract to store only the number of elements in the element array.

getConvergence() - Method in class org.apache.commons.math.ode.events.EventState

Get the convergence threshold for event localization.

getConvergenceChecker() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer

Get the convergence checker.

getConvergenceChecker() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer

Get the convergence checker.

getConvergenceChecker() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Get the convergence checker.

getConvergenceChecker() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Get the convergence checker.

getConvergenceChecker() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Get the convergence checker.

getConvergenceChecker() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer

Get the convergence checker.

getConvergenceChecker() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer

Get the convergence checker.

getConvergenceChecker() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer

Get the convergence checker.

getConvergenceChecker() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer

Get the convergence checker.

getCorrelationMatrix() - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation

Returns the correlation matrix

getCorrelationMatrix() - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation

Calculate the Spearman Rank Correlation Matrix.

getCorrelationPValues() - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation

Returns a matrix of p-values associated with the (two-sided) null hypothesis that the corresponding correlation coefficient is zero.

getCorrelationStandardErrors() - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation

Returns a matrix of standard errors associated with the estimates in the correlation matrix.
getCorrelationStandardErrors().getEntry(i,j) is the standard error associated with getCorrelationMatrix.getEntry(i,j)

getCostEvaluations() - Method in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Get the number of cost evaluations.

getCount() - Method in class org.apache.commons.math.util.MultidimensionalCounter.Iterator

Get the current unidimensional counter slot.

getCount(char) - Method in class org.apache.commons.math.stat.Frequency

Returns the number of values = v.

getCount(int) - Method in class org.apache.commons.math.stat.Frequency

Returns the number of values = v.

getCount(int) - Method in class org.apache.commons.math.util.MultidimensionalCounter.Iterator

Get the current count in the selected dimension.

getCount(int...) - Method in class org.apache.commons.math.util.MultidimensionalCounter

Convert to unidimensional counter.

getCount(long) - Method in class org.apache.commons.math.stat.Frequency

Returns the number of values = v.

getCount(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency

Returns the number of values = v.

getCount(Object) - Method in class org.apache.commons.math.stat.Frequency

Deprecated.

replaced by Frequency.getCount(Comparable) as of 2.0

getCounts() - Method in class org.apache.commons.math.util.MultidimensionalCounter.Iterator

Get the current multidimensional counter slots.

getCounts(int) - Method in class org.apache.commons.math.util.MultidimensionalCounter

Convert to multidimensional counter.

getCovariance() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns the covariance matrix of the values that have been added.

getCovariance() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary

Returns the covariance of the available values.

getCovariance() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the covariance matrix of the values that have been added.

getCovariance(double) - Method in interface org.apache.commons.math.linear.SingularValueDecomposition

Returns the n × n covariance matrix.

getCovariance(double) - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl

Returns the n × n covariance matrix.

getCovarianceMatrix() - Method in class org.apache.commons.math.stat.correlation.Covariance

Returns the covariance matrix

getCovariances() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Get the covariance matrix of optimized parameters.

getCovariances(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Get the covariance matrix of unbound estimated parameters.

getCovariances(EstimationProblem) - Method in interface org.apache.commons.math.estimation.Estimator

Deprecated.

Get the covariance matrix of estimated parameters.

getCrossoverPolicy() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm

Returns the crossover policy.

getCrossoverRate() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm

Returns the crossover rate.

getCumFreq(char) - Method in class org.apache.commons.math.stat.Frequency

Returns the cumulative frequency of values less than or equal to v.

getCumFreq(int) - Method in class org.apache.commons.math.stat.Frequency

Returns the cumulative frequency of values less than or equal to v.

getCumFreq(long) - Method in class org.apache.commons.math.stat.Frequency

Returns the cumulative frequency of values less than or equal to v.

getCumFreq(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency

Returns the cumulative frequency of values less than or equal to v.

getCumFreq(Object) - Method in class org.apache.commons.math.stat.Frequency

Deprecated.

replaced by Frequency.getCumFreq(Comparable) as of 2.0

getCumPct(char) - Method in class org.apache.commons.math.stat.Frequency

Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).

getCumPct(int) - Method in class org.apache.commons.math.stat.Frequency

Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).

getCumPct(long) - Method in class org.apache.commons.math.stat.Frequency

Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).

getCumPct(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency

Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).

getCumPct(Object) - Method in class org.apache.commons.math.stat.Frequency

Deprecated.

replaced by Frequency.getCumPct(Comparable) as of 2.0

getCurrentSignedStepsize() - Method in class org.apache.commons.math.ode.AbstractIntegrator

Get the current signed value of the integration stepsize.

getCurrentSignedStepsize() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians

Deprecated.

Get the current signed value of the integration stepsize.

getCurrentSignedStepsize() - Method in interface org.apache.commons.math.ode.ODEIntegrator

Get the current signed value of the integration stepsize.

getCurrentStepStart() - Method in class org.apache.commons.math.ode.AbstractIntegrator

Get the current value of the step start time t_i.

getCurrentStepStart() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians

Deprecated.

Get the current value of the step start time t_i.

getCurrentStepStart() - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Get the current value of the step start time t_i.

getCurrentStepStart() - Method in interface org.apache.commons.math.ode.ODEIntegrator

Get the current value of the step start time t_i.

getCurrentTime() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians

Deprecated.

Get the current grid point time.

getCurrentTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Get the current soft grid point time.

getCurrentTime() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator

Get the current grid point time.

getD() - Method in interface org.apache.commons.math.linear.EigenDecomposition

Returns the block diagonal matrix D of the decomposition.

getD() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl

Returns the block diagonal matrix D of the decomposition.

getD() - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction

Gets d parameter value.

getData() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in class org.apache.commons.math.linear.AbstractRealVector

Returns vector entries as a double array.

getData() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in class org.apache.commons.math.linear.ArrayFieldVector

Returns vector entries as a T array.

getData() - Method in class org.apache.commons.math.linear.ArrayRealVector

Returns vector entries as a double array.

getData() - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns matrix entries as a two-dimensional array.

getData() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns matrix entries as a two-dimensional array.

getData() - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in interface org.apache.commons.math.linear.FieldVector

Returns vector entries as a T array.

getData() - Method in class org.apache.commons.math.linear.OpenMapRealVector

Returns vector entries as a double array.

getData() - Method in interface org.apache.commons.math.linear.RealMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Returns matrix entries as a two-dimensional array.

getData() - Method in interface org.apache.commons.math.linear.RealVector

Returns vector entries as a double array.

getData() - Method in class org.apache.commons.math.linear.SparseFieldVector

Returns vector entries as a T array.

getData() - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic

Get a copy of the stored data array.

getDataAsDoubleArray() - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns matrix entries as a two-dimensional array.

getDataAsDoubleArray() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns matrix entries as a two-dimensional array.

getDataRef() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Returns a reference to the underlying data array.

getDataRef() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Returns a reference to the underlying data array.

getDataRef() - Method in class org.apache.commons.math.linear.ArrayFieldVector

Returns a reference to the underlying data array.

getDataRef() - Method in class org.apache.commons.math.linear.ArrayRealVector

Returns a reference to the underlying data array.

getDataRef() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns a reference to the underlying data array.

getDataRef() - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Returns a reference to the underlying data array.

getDataRef() - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic

Get a reference to the stored data array.

getDecimalDigits() - Method in class org.apache.commons.math.dfp.DfpDec

Get the number of decimal digits this class is going to represent.

getDefaultNumberFormat() - Static method in class org.apache.commons.math.fraction.AbstractFormat

Create a default number format.

getDefaultNumberFormat() - Static method in class org.apache.commons.math.fraction.FractionFormat

Create a default number format.

getDefaultNumberFormat() - Static method in class org.apache.commons.math.util.CompositeFormat

Create a default number format.

getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math.fraction.AbstractFormat

Create a default number format.

getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math.util.CompositeFormat

Create a default number format.

getDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.ChiSquaredDistribution

Access the degrees of freedom.

getDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Access the degrees of freedom.

getDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.TDistribution

Access the degrees of freedom.

getDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.TDistributionImpl

Access the degrees of freedom.

getDelta() - Method in class org.apache.commons.math.geometry.Vector3D

Get the elevation of the vector.

getDenominator() - Method in class org.apache.commons.math.fraction.BigFraction

Access the denominator as a BigInteger.

getDenominator() - Method in class org.apache.commons.math.fraction.Fraction

Access the denominator.

getDenominatorAsInt() - Method in class org.apache.commons.math.fraction.BigFraction

Access the denominator as a int.

getDenominatorAsLong() - Method in class org.apache.commons.math.fraction.BigFraction

Access the denominator as a long.

getDenominatorDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.FDistribution

Access the denominator degrees of freedom.

getDenominatorDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.FDistributionImpl

Access the denominator degrees of freedom.

getDenominatorFormat() - Method in class org.apache.commons.math.fraction.AbstractFormat

Access the denominator format.

getDeterminant() - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Deprecated.

getDeterminant() - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the determinant of this matrix.

getDeterminant() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the determinant of this matrix.

getDeterminant() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition

Return the determinant of the matrix

getDeterminant() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl

Return the determinant of the matrix

getDeterminant() - Method in interface org.apache.commons.math.linear.EigenDecomposition

Return the determinant of the matrix

getDeterminant() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl

Return the determinant of the matrix

getDeterminant() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition

Return the determinant of the matrix

getDeterminant() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl

Return the determinant of the matrix

getDeterminant() - Method in interface org.apache.commons.math.linear.LUDecomposition

Return the determinant of the matrix

getDeterminant() - Method in class org.apache.commons.math.linear.LUDecompositionImpl

Return the determinant of the matrix

getDeterminant() - Method in interface org.apache.commons.math.linear.RealMatrix

Deprecated.

as of release 2.0, replaced by new LUDecompositionImpl(m).getDeterminant()

getDimension() - Method in exception org.apache.commons.math.exception.DimensionMismatchException

getDimension() - Method in class org.apache.commons.math.linear.ArrayFieldVector

Returns the size of the vector.

getDimension() - Method in class org.apache.commons.math.linear.ArrayRealVector

Returns the size of the vector.

getDimension() - Method in interface org.apache.commons.math.linear.FieldVector

Returns the size of the vector.

getDimension() - Method in class org.apache.commons.math.linear.OpenMapRealVector

Returns the size of the vector.

getDimension() - Method in interface org.apache.commons.math.linear.RealVector

Returns the size of the vector.

getDimension() - Method in class org.apache.commons.math.linear.SparseFieldVector

Returns the size of the vector.

getDimension() - Method in class org.apache.commons.math.ode.FirstOrderConverter

Get the dimension of the problem.

getDimension() - Method in interface org.apache.commons.math.ode.FirstOrderDifferentialEquations

Get the dimension of the problem.

getDimension() - Method in interface org.apache.commons.math.ode.SecondOrderDifferentialEquations

Get the dimension of the problem.

getDimension() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns the dimension of the data

getDimension() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary

Returns the dimension of the data

getDimension() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the dimension of the data

getDimension() - Method in class org.apache.commons.math.util.MultidimensionalCounter

Get the number of dimensions of the multidimensional counter.

getDimension1() - Method in exception org.apache.commons.math.DimensionMismatchException

Deprecated.

Get the first dimension

getDimension2() - Method in exception org.apache.commons.math.DimensionMismatchException

Deprecated.

Get the second dimension

getDirection() - Method in exception org.apache.commons.math.exception.NonMonotonousSequenceException

getDistance(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector

Distance between two vectors.

getDistance(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector

Distance between two vectors.

getDistance(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Distance between two vectors.

getDistance(double[]) - Method in interface org.apache.commons.math.linear.RealVector

Distance between two vectors.

getDistance(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Distance between two vectors.

getDistance(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Optimized method to compute distance.

getDistance(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector

Distance between two vectors.

getDistance(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Distance between two vectors.

getDistance(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Distance between two vectors.

getDistance(RealVector) - Method in interface org.apache.commons.math.linear.RealVector

Distance between two vectors.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution

Access the domain value lower bound, based on p, used to bracket a CDF root.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution

Access the domain value lower bound, based on p, used to bracket a PDF root.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

Access the domain value lower bound, based on p, used to bracket a CDF root.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl

Access the domain value lower bound, based on p, used to bracket a PDF root.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl

Access the domain value lower bound, based on p, used to bracket a CDF root.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Access the domain value lower bound, based on p, used to bracket a CDF root.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl

Access the domain value lower bound, based on p, used to bracket a CDF root.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl

Access the domain value lower bound, based on p, used to bracket a CDF root.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

Access the domain value lower bound, based on p, used to bracket a CDF root.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl

Access the domain value lower bound, based on p, used to bracket a PDF root.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

Access the domain value lower bound, based on p, used to bracket a CDF root.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl

Access the domain value lower bound, based on p, used to bracket a PDF root.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl

Access the domain value lower bound, based on p, used to bracket a CDF root.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl

Access the domain value lower bound, based on p, used to bracket a CDF root.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

Access the domain value lower bound, based on p, used to bracket a CDF root.

getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl

Access the domain value lower bound, based on p, used to bracket a PDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution

Access the domain value upper bound, based on p, used to bracket a CDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution

Access the domain value upper bound, based on p, used to bracket a PDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

Access the domain value upper bound, based on p, used to bracket a CDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl

Access the domain value upper bound, based on p, used to bracket a PDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl

Access the domain value upper bound, based on p, used to bracket a CDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Access the domain value upper bound, based on p, used to bracket a CDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl

Access the domain value upper bound, based on p, used to bracket a CDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl

Access the domain value upper bound, based on p, used to bracket a CDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

Access the domain value upper bound, based on p, used to bracket a CDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl

Access the domain value upper bound, based on p, used to bracket a PDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

Access the domain value upper bound, based on p, used to bracket a CDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl

Access the domain value upper bound, based on p, used to bracket a PDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl

Access the domain value upper bound, based on p, used to bracket a CDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl

Access the domain value upper bound, based on p, used to bracket a CDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

Access the domain value upper bound, based on p, used to bracket a CDF root.

getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl

Access the domain value upper bound, based on p, used to bracket a PDF root.

getDuplicateAbscissa() - Method in exception org.apache.commons.math.DuplicateSampleAbscissaException

Get the duplicate abscissa.

getE() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant e.

getEigenvector(int) - Method in interface org.apache.commons.math.linear.EigenDecomposition

Returns a copy of the i^th eigenvector of the original matrix.

getEigenvector(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl

Returns a copy of the i^th eigenvector of the original matrix.

getElement(int) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the element at the specified index

getElement(int) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

Returns the element at the specified index

getElement(int) - Method in interface org.apache.commons.math.util.DoubleArray

Returns the element at the specified index.

getElement(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray

Returns the element at the specified index

getElements() - Method in interface org.apache.commons.math.util.DoubleArray

Returns a double[] array containing the elements of this DoubleArray.

getElements() - Method in class org.apache.commons.math.util.ResizableDoubleArray

Returns a double array containing the elements of this ResizableArray.

getElitismRate() - Method in class org.apache.commons.math.genetics.ElitisticListPopulation

Access the elitism rate.

getEmpiricalDistribution() - Method in class org.apache.commons.math.random.ValueServer

Getter for property empiricalDistribution.

getEntry(int) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Returns the entry in the specified index.

getEntry(int) - Method in class org.apache.commons.math.linear.ArrayRealVector

Returns the entry in the specified index.

getEntry(int) - Method in interface org.apache.commons.math.linear.FieldVector

Returns the entry in the specified index.

getEntry(int) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Returns the entry in the specified index.

getEntry(int) - Method in interface org.apache.commons.math.linear.RealVector

Returns the entry in the specified index.

getEntry(int) - Method in class org.apache.commons.math.linear.SparseFieldVector

Returns the entry in the specified index.

getEntry(int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Returns the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Returns the entry in the specified row and column.

getEntry(int, int) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the entry in the specified row and column.

getEntry(int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix

Returns the entry in the specified row and column.

getEntry(int, int) - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Returns the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math.linear.SparseFieldMatrix

Returns the entry in the specified row and column.

getEntryAsDouble(int, int) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the entry in the specified row and column as a double.

getEntryAsDouble(int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the entry in the specified row and column as a double.

getESplit() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant e split in two pieces.

getEstimate() - Method in class org.apache.commons.math.estimation.EstimatedParameter

Deprecated.

Get the current estimate of the parameter

getEvaluations() - Method in class org.apache.commons.math.ode.AbstractIntegrator

Get the number of evaluations of the differential equations function.

getEvaluations() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians

Deprecated.

Get the number of evaluations of the differential equations function.

getEvaluations() - Method in interface org.apache.commons.math.ode.ODEIntegrator

Get the number of evaluations of the differential equations function.

getEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer

Get the number of evaluations of the objective function.

getEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer

Get the number of evaluations of the objective function.

getEvaluations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Get the number of evaluations of the objective function.

getEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Get the number of evaluations of the objective function.

getEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Get the number of evaluations of the objective function.

getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer

Get the number of evaluations of the objective function.

getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer

Get the number of evaluations of the objective function.

getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer

Get the number of evaluations of the objective function.

getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Get the number of evaluations of the objective function.

getEvaluations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer

Get the number of evaluations of the objective function.

getEvaluations() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Get the number of evaluations of the objective function.

getEvaluations() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder

getEvaluations() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer

Get the number of evaluations of the objective function.

getEventHandler() - Method in class org.apache.commons.math.ode.events.EventState

Get the underlying event handler.

getEventHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator

Get all the event handlers that have been added to the integrator.

getEventHandlers() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians

Deprecated.

Get all the event handlers that have been added to the integrator.

getEventHandlers() - Method in interface org.apache.commons.math.ode.ODEIntegrator

Get all the event handlers that have been added to the integrator.

getEventsHandlers() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager

Deprecated.

Get all the events handlers that have been added to the manager.

getEventsStates() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager

Deprecated.

Get all the events state wrapping the handlers that have been added to the manager.

getEventTime() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager

Deprecated.

Get the occurrence time of the first event triggered in the last evaluated step.

getEventTime() - Method in class org.apache.commons.math.ode.events.EventState

Get the occurrence time of the event triggered in the current step.

getExpansionFactor() - Method in class org.apache.commons.math.util.ResizableDoubleArray

The expansion factor controls the size of a new array when an array needs to be expanded.

getExpansionMode() - Method in class org.apache.commons.math.util.ResizableDoubleArray

The expansionMode determines whether the internal storage array grows additively (ADDITIVE_MODE) or multiplicatively (MULTIPLICATIVE_MODE) when it is expanded.

getExponent() - Method in interface org.apache.commons.math.distribution.ZipfDistribution

Get the exponent characterising the distribution.

getExponent() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl

Get the exponent characterising the distribution.

getExponent(double) - Static method in class org.apache.commons.math.util.FastMath

Return the exponent of a double number, removing the bias.

getExponent(float) - Static method in class org.apache.commons.math.util.FastMath

Return the exponent of a float number, removing the bias.

getFHi() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder

Get function value at BracketFinder.getHi().

getField() - Method in class org.apache.commons.math.complex.Complex

Get the Field to which the instance belongs.

getField() - Method in class org.apache.commons.math.dfp.Dfp

Get the Field (really a DfpField) to which the instance belongs.

getField() - Method in interface org.apache.commons.math.FieldElement

Get the Field to which the instance belongs.

getField() - Method in class org.apache.commons.math.fraction.BigFraction

Get the Field to which the instance belongs.

getField() - Method in class org.apache.commons.math.fraction.Fraction

Get the Field to which the instance belongs.

getField() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Get the type of field elements of the matrix.

getField() - Method in class org.apache.commons.math.linear.ArrayFieldVector

Get the type of field elements of the vector.

getField() - Method in interface org.apache.commons.math.linear.FieldMatrix

Get the type of field elements of the matrix.

getField() - Method in interface org.apache.commons.math.linear.FieldVector

Get the type of field elements of the vector.

getField() - Method in class org.apache.commons.math.linear.SparseFieldVector

Get the type of field elements of the vector.

getField() - Method in class org.apache.commons.math.util.BigReal

Get the Field to which the instance belongs.

getFinalTime() - Method in class org.apache.commons.math.ode.ContinuousOutputModel

Get the final integration time.

getFirst() - Method in class org.apache.commons.math.genetics.ChromosomePair

Access the first chromosome.

getFitness() - Method in class org.apache.commons.math.genetics.Chromosome

Access the fitness of this chromosome.

getFittestChromosome() - Method in class org.apache.commons.math.genetics.ListPopulation

Access the fittest chromosome in this population.

getFittestChromosome() - Method in interface org.apache.commons.math.genetics.Population

Access the fittest chromosome in this population.

getFLow() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder

Get function value at BracketFinder.getLo().

getFMid() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder

Get function value at BracketFinder.getMid().

getFormat() - Method in class org.apache.commons.math.geometry.Vector3DFormat

Get the components format.

getFormat() - Method in class org.apache.commons.math.linear.RealVectorFormat

Get the components format.

getFrobeniusNorm() - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the Frobenius norm of the matrix.

getFrobeniusNorm() - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the Frobenius norm of the matrix.

getFrobeniusNorm() - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the Frobenius norm of the matrix.

getFunctionValue() - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver

Get the result of the last run of the solver.

getFunctionValue() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Get the result of the last run of the solver.

getFunctionValue() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Get the result of the last run of the optimizer.

getFunctionValue() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Get the result of the last run of the optimizer.

getFunctionValue() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer

Get the result of the last run of the optimizer.

getFunctionValueAccuracy() - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver

Get the actual function value accuracy.

getFunctionValueAccuracy() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Get the actual function value accuracy.

getGeneralPattern() - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException

Gets the localizable pattern used to build the general part of the message of this throwable.

getGeneralPattern() - Method in exception org.apache.commons.math.exception.MathIllegalStateException

Gets the localizable pattern used to build the general part of the message of this throwable.

getGeneralPattern() - Method in interface org.apache.commons.math.exception.MathThrowable

Gets the localizable pattern used to build the general part of the message of this throwable.

getGeneralPattern() - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException

Gets the localizable pattern used to build the general part of the message of this throwable.

getGeneralPattern() - Method in exception org.apache.commons.math.MathException

Gets the localizable pattern used to build the general part of the message of this throwable.

getGeneralPattern() - Method in exception org.apache.commons.math.MathRuntimeException

Gets the localizable pattern used to build the general part of the message of this throwable.

getGenerationsEvolved() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm

Returns the number of generations evolved to reach StoppingCondition in the last run.

getGenerator() - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator

Get the underlying normalized components generator.

getGeneratorUpperBounds() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl

Returns a fresh copy of the array of upper bounds of the subintervals of [0,1] used in generating data from the empirical distribution.

getGeoMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns the currently configured geometric mean implementation

getGeoMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the currently configured geometric mean implementation

getGeoMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the currently configured geometric mean implementation

getGeoMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured geometric mean implementation

getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Returns the geometric mean of all the aggregated data.

getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the geometric mean of the available values

getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the geometric mean of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getGeometricMean() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the geometric mean of the i^th entries of the arrays that correspond to each multivariate sample

getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the geometric mean of the values that have been added.

getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the geometric mean of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the geometric mean of the values that have been added.

getGeometricMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the currently configured geometric mean implementation.

getGlobalCurrentTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Get the current global grid point time.

getGlobalPreviousTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Get the previous global grid point time.

getGoalType() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

getGradientEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer

Get the number of evaluations of the objective function gradient.

getGradientEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Get the number of evaluations of the objective function gradient.

getGradientEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer

Get the number of evaluations of the objective function gradient.

getGuessedAmplitude() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser

Get the guessed amplitude a.

getGuessedPhase() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser

Get the guessed phase φ.

getGuessedPulsation() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser

Get the guessed pulsation ω.

getH() - Method in interface org.apache.commons.math.linear.QRDecomposition

Returns the Householder reflector vectors.

getH() - Method in class org.apache.commons.math.linear.QRDecompositionImpl

Returns the Householder reflector vectors.

getHi() - Method in exception org.apache.commons.math.exception.OutOfRangeException

getHi() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder

getIEEEFlags() - Method in class org.apache.commons.math.dfp.DfpField

Get the IEEE 854 status flags.

getImagEigenvalue(int) - Method in interface org.apache.commons.math.linear.EigenDecomposition

Returns the imaginary part of the i^th eigenvalue of the original matrix.

getImagEigenvalue(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl

Returns the imaginary part of the i^th eigenvalue of the original matrix.

getImagEigenvalues() - Method in interface org.apache.commons.math.linear.EigenDecomposition

Returns a copy of the imaginary parts of the eigenvalues of the original matrix.

getImagEigenvalues() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl

Returns a copy of the imaginary parts of the eigenvalues of the original matrix.

getImaginary() - Method in class org.apache.commons.math.complex.Complex

Access the imaginary part.

getImaginaryCharacter() - Method in class org.apache.commons.math.complex.ComplexFormat

Access the imaginaryCharacter.

getImaginaryFormat() - Method in class org.apache.commons.math.complex.ComplexFormat

Access the imaginaryFormat.

getImproperInstance() - Static method in class org.apache.commons.math.fraction.BigFractionFormat

Returns the default complex format for the current locale.

getImproperInstance() - Static method in class org.apache.commons.math.fraction.FractionFormat

Returns the default complex format for the current locale.

getImproperInstance(Locale) - Static method in class org.apache.commons.math.fraction.BigFractionFormat

Returns the default complex format for the given locale.

getImproperInstance(Locale) - Static method in class org.apache.commons.math.fraction.FractionFormat

Returns the default complex format for the given locale.

getIndex() - Method in exception org.apache.commons.math.exception.NonMonotonousSequenceException

Get the index of the wrong value.

getIndex() - Method in class org.apache.commons.math.linear.OpenMapRealVector.OpenMapEntry

Get the index of the entry.

getIndex() - Method in class org.apache.commons.math.linear.RealVector.Entry

Get the index of the entry.

getInitialDomain(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution

Access the initial domain value, based on p, used to bracket a CDF root.

getInitialDomain(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

Access the initial domain value, based on p, used to bracket a CDF root.

getInitialDomain(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl

Access the initial domain value, based on p, used to bracket a CDF root.

getInitialDomain(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Access the initial domain value, based on p, used to bracket a CDF root.

getInitialDomain(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl

Access the initial domain value, based on p, used to bracket a CDF root.

getInitialDomain(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl

Access the initial domain value, based on p, used to bracket a CDF root.

getInitialDomain(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

Access the initial domain value, based on p, used to bracket a CDF root.

getInitialDomain(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

Access the initial domain value, based on p, used to bracket a CDF root.

getInitialDomain(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl

Access the initial domain value, based on p, used to bracket a CDF root.

getInitialDomain(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

Access the initial domain value, based on p, used to bracket a CDF root.

getInitialTime() - Method in class org.apache.commons.math.ode.ContinuousOutputModel

Get the initial integration time.

getInstance() - Static method in class org.apache.commons.math.complex.ComplexField

Get the unique instance.

getInstance() - Static method in class org.apache.commons.math.complex.ComplexFormat

Returns the default complex format for the current locale.

getInstance() - Static method in class org.apache.commons.math.fraction.BigFractionField

Get the unique instance.

getInstance() - Static method in class org.apache.commons.math.fraction.FractionField

Get the unique instance.

getInstance() - Static method in class org.apache.commons.math.geometry.Vector3DFormat

Returns the default 3D vector format for the current locale.

getInstance() - Static method in class org.apache.commons.math.linear.RealVectorFormat

Returns the default real vector format for the current locale.

getInstance() - Static method in class org.apache.commons.math.ode.sampling.DummyStepHandler

Get the only instance.

getInstance() - Static method in class org.apache.commons.math.util.BigRealField

Get the unique instance.

getInstance(int) - Static method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer

Get the Nordsieck transformer for a given number of steps.

getInstance(Locale) - Static method in class org.apache.commons.math.complex.ComplexFormat

Returns the default complex format for the given locale.

getInstance(Locale) - Static method in class org.apache.commons.math.geometry.Vector3DFormat

Returns the default 3D vector format for the given locale.

getInstance(Locale) - Static method in class org.apache.commons.math.linear.RealVectorFormat

Returns the default real vector format for the given locale.

getIntercept() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the intercept of the estimated regression line.

getInterceptStdErr() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the standard error of the intercept estimate, usually denoted s(b0).

getInternalValues() - Method in class org.apache.commons.math.util.ResizableDoubleArray

Returns the internal storage array.

getInterpolatedDerivatives() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Get the derivatives of the state vector of the interpolated point.

getInterpolatedDerivatives() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator

Get the derivatives of the state vector of the interpolated point.

getInterpolatedDyDp() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians

Deprecated.

Get the partial derivatives of the state vector with respect to the ODE parameters of the interpolated point.

getInterpolatedDyDpDot() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians

Deprecated.

Get the time derivatives of the jacobian of the state vector with respect to the ODE parameters of the interpolated point.

getInterpolatedDyDy0() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians

Deprecated.

Get the partial derivatives of the state vector with respect to the initial state of the interpolated point.

getInterpolatedDyDy0Dot() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians

Deprecated.

Get the time derivatives of the jacobian of the state vector with respect to the initial state of the interpolated point.

getInterpolatedState() - Method in class org.apache.commons.math.ode.ContinuousOutputModel

Get the state vector of the interpolated point.

getInterpolatedState() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Get the state vector of the interpolated point.

getInterpolatedState() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator

Get the state vector of the interpolated point.

getInterpolatedStateVariation() - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator

Get the state vector variation from current to interpolated state.

getInterpolatedTime() - Method in class org.apache.commons.math.ode.ContinuousOutputModel

Get the time of the interpolated point.

getInterpolatedTime() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians

Deprecated.

Get the time of the interpolated point.

getInterpolatedTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Get the time of the interpolated point.

getInterpolatedTime() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator

Get the time of the interpolated point.

getInterpolatedY() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians

Deprecated.

Get the state vector of the interpolated point.

getInterpolatedYDot() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians

Deprecated.

Get the time derivatives of the state vector of the interpolated point.

getInterpolatingPoints() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm

Returns a copy of the interpolating points array.

getInterpolatingValues() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm

Returns a copy of the interpolating values array.

getInverse() - Method in interface org.apache.commons.math.linear.DecompositionSolver

Get the inverse (or pseudo-inverse) of the decomposed matrix.

getInverse() - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver

Get the inverse (or pseudo-inverse) of the decomposed matrix.

getIterationCount() - Method in interface org.apache.commons.math.ConvergingAlgorithm

Deprecated.

Get the number of iterations in the last run of the algorithm.

getIterationCount() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Get the number of iterations in the last run of the algorithm.

getIterationCount() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Get the number of iterations in the last run of the algorithm.

getIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer

Get the number of iterations realized by the algorithm.

getIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer

Get the number of iterations realized by the algorithm.

getIterations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Get the number of iterations realized by the algorithm.

getIterations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Get the number of iterations realized by the algorithm.

getIterations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Get the number of iterations realized by the algorithm.

getIterations() - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer

Get the number of iterations realized by the algorithm.

getIterations() - Method in interface org.apache.commons.math.optimization.linear.LinearOptimizer

Get the number of iterations realized by the algorithm.

getIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer

Get the number of iterations realized by the algorithm.

getIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer

Get the number of iterations realized by the algorithm.

getIterations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer

Get the number of iterations realized by the algorithm.

getIterations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer

Get the number of iterations realized by the algorithm.

getIterations() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder

getJacobianEvaluations() - Method in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Get the number of jacobian evaluations.

getJacobianEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer

Get the number of evaluations of the objective function jacobian .

getJacobianEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Get the number of evaluations of the objective function jacobian .

getJacobianEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer

Get the number of evaluations of the objective function jacobian .

getKnots() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction

Returns an array copy of the knot points.

getKurtosis() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the Kurtosis of the available values.

getKurtosisImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the currently configured kurtosis implementation.

getL() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition

Returns the matrix L of the decomposition.

getL() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl

Returns the matrix L of the decomposition.

getL() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition

Returns the matrix L of the decomposition.

getL() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl

Returns the matrix L of the decomposition.

getL() - Method in interface org.apache.commons.math.linear.LUDecomposition

Returns the matrix L of the decomposition.

getL() - Method in class org.apache.commons.math.linear.LUDecompositionImpl

Returns the matrix L of the decomposition.

getL1Distance(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector

Distance between two vectors.

getL1Distance(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector

Distance between two vectors.

getL1Distance(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Distance between two vectors.

getL1Distance(double[]) - Method in interface org.apache.commons.math.linear.RealVector

Distance between two vectors.

getL1Distance(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Distance between two vectors.

getL1Distance(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Distance between two vectors.

getL1Distance(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector

Distance between two vectors.

getL1Distance(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Distance between two vectors.

getL1Distance(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Distance between two vectors.

getL1Distance(RealVector) - Method in interface org.apache.commons.math.linear.RealVector

Distance between two vectors.

getL1Norm() - Method in class org.apache.commons.math.linear.AbstractRealVector

Returns the L₁ norm of the vector.

getL1Norm() - Method in class org.apache.commons.math.linear.ArrayRealVector

Returns the L₁ norm of the vector.

getL1Norm() - Method in interface org.apache.commons.math.linear.RealVector

Returns the L₁ norm of the vector.

getLength() - Method in class org.apache.commons.math.genetics.AbstractListChromosome

Returns the length of the chromosome.

getLInfDistance(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector

Distance between two vectors.

getLInfDistance(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector

Distance between two vectors.

getLInfDistance(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Distance between two vectors.

getLInfDistance(double[]) - Method in interface org.apache.commons.math.linear.RealVector

Distance between two vectors.

getLInfDistance(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Distance between two vectors.

getLInfDistance(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector

Distance between two vectors.

getLInfDistance(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Distance between two vectors.

getLInfDistance(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Distance between two vectors.

getLInfDistance(RealVector) - Method in interface org.apache.commons.math.linear.RealVector

Distance between two vectors.

getLInfNorm() - Method in class org.apache.commons.math.linear.AbstractRealVector

Returns the L_∞ norm of the vector.

getLInfNorm() - Method in class org.apache.commons.math.linear.ArrayRealVector

Returns the L_∞ norm of the vector.

getLInfNorm() - Method in interface org.apache.commons.math.linear.RealVector

Returns the L_∞ norm of the vector.

getLn10() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant ln(10).

getLn2() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant ln(2).

getLn2Split() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant ln(2) split in two pieces.

getLn5() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant ln(5).

getLn5Split() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant ln(5) split in two pieces.

getLo() - Method in exception org.apache.commons.math.exception.OutOfRangeException

getLo() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder

getLocalizedMessage() - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException

Gets the message in the system default locale.

getLocalizedMessage() - Method in exception org.apache.commons.math.exception.MathIllegalStateException

Gets the message in the system default locale.

getLocalizedMessage() - Method in interface org.apache.commons.math.exception.MathThrowable

Gets the message in the system default locale.

getLocalizedMessage() - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException

Gets the message in the system default locale.

getLocalizedMessage() - Method in exception org.apache.commons.math.MathException

Gets the message in the system default locale.

getLocalizedMessage() - Method in exception org.apache.commons.math.MathRuntimeException

Gets the message in the system default locale.

getLocalizedString(Locale) - Method in class org.apache.commons.math.exception.util.DummyLocalizable

Get the localized string.

getLocalizedString(Locale) - Method in interface org.apache.commons.math.exception.util.Localizable

Get the localized string.

getLocalizedString(Locale) - Method in enum org.apache.commons.math.exception.util.LocalizedFormats

Get the localized string.

getLT() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition

Returns the transpose of the matrix L of the decomposition.

getLT() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl

Returns the transpose of the matrix L of the decomposition.

getLUMatrix() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the LU decomposition as a BigMatrix.

getMainSetDimension() - Method in interface org.apache.commons.math.ode.ExtendedFirstOrderDifferentialEquations

Return the dimension of the main set of equations.

getMatrix() - Method in class org.apache.commons.math.geometry.Rotation

Get the 3X3 matrix corresponding to the instance

getMax() - Method in exception org.apache.commons.math.exception.NumberIsTooLargeException

getMax() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

getMax() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Returns the maximum of the available values

getMax() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the maximum of the available values

getMax() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the maximum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getMax() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the maximum of the i^th entries of the arrays that correspond to each multivariate sample

getMax() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary

Returns the maximum of the available values

getMax() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues

getMax() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the maximum of the values that have been added.

getMax() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the maximum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getMax() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the maximum of the values that have been added.

getMaxCheckInterval() - Method in class org.apache.commons.math.ode.events.EventState

Get the maximal time interval between events handler checks.

getMaxEvaluations() - Method in exception org.apache.commons.math.MaxEvaluationsExceededException

Get the maximal number of evaluations allowed.

getMaxEvaluations() - Method in class org.apache.commons.math.ode.AbstractIntegrator

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians

Deprecated.

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in interface org.apache.commons.math.ode.ODEIntegrator

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer

Get the maximal number of functions evaluations.

getMaxGrowth() - Method in class org.apache.commons.math.ode.MultistepIntegrator

Get the maximal growth factor for stepsize control.

getMaxGrowth() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Get the maximal growth factor for stepsize control.

getMaximalIterationCount() - Method in interface org.apache.commons.math.ConvergingAlgorithm

Deprecated.

Get the upper limit for the number of iterations.

getMaximalIterationCount() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Get the upper limit for the number of iterations.

getMaximalIterationCount() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Get the upper limit for the number of iterations.

getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the currently configured maximum implementation.

getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns the currently configured maximum implementation

getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the currently configured maximum implementation

getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the currently configured maximum implementation

getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured maximum implementation

getMaxIndex() - Method in class org.apache.commons.math.linear.AbstractRealVector

Get the index of the maximum entry.

getMaxIterationCount() - Method in class org.apache.commons.math.ode.events.EventState

Get the upper limit in the iteration count for event localization.

getMaxIterations() - Method in exception org.apache.commons.math.MaxIterationsExceededException

Get the maximal number of iterations allowed.

getMaxIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer

Get the maximal number of iterations of the algorithm.

getMaxIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer

Get the maximal number of iterations of the algorithm.

getMaxIterations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Get the maximal number of iterations of the algorithm.

getMaxIterations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Get the maximal number of iterations of the algorithm.

getMaxIterations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Get the maximal number of iterations of the algorithm.

getMaxIterations() - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer

Get the maximal number of iterations of the algorithm.

getMaxIterations() - Method in interface org.apache.commons.math.optimization.linear.LinearOptimizer

Get the maximal number of iterations of the algorithm.

getMaxIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer

Get the maximal number of iterations of the algorithm.

getMaxIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer

Get the maximal number of iterations of the algorithm.

getMaxIterations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer

Get the maximal number of iterations of the algorithm.

getMaxIterations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer

Get the maximal number of iterations of the algorithm.

getMaxStep() - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Get the maximal step.

getMaxValue() - Method in class org.apache.commons.math.linear.AbstractRealVector

Get the value of the maximum entry.

getMean() - Method in interface org.apache.commons.math.distribution.ExponentialDistribution

Access the mean.

getMean() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl

Access the mean.

getMean() - Method in interface org.apache.commons.math.distribution.NormalDistribution

Access the mean.

getMean() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

Access the mean.

getMean() - Method in interface org.apache.commons.math.distribution.PoissonDistribution

Get the mean for the distribution.

getMean() - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl

Get the Poisson mean for the distribution.

getMean() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Returns the arithmetic mean of the available values

getMean() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the arithmetic mean of the available values

getMean() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the mean of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getMean() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the mean of the i^th entries of the arrays that correspond to each multivariate sample

getMean() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary

Returns the arithmetic mean of the available values

getMean() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues

getMean() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the mean of the values that have been added.

getMean() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the mean of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getMean() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the mean of the values that have been added.

getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the currently configured mean implementation.

getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns the currently configured mean implementation

getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the currently configured mean implementation

getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the currently configured mean implementation

getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured mean implementation

getMeanSquareError() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.

getMeasuredValue() - Method in class org.apache.commons.math.estimation.WeightedMeasurement

Deprecated.

Get the measured value

getMeasurements() - Method in interface org.apache.commons.math.estimation.EstimationProblem

Deprecated.

Get the measurements of an estimation problem.

getMeasurements() - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem

Deprecated.

Get the measurements of an estimation problem.

getMedian() - Method in interface org.apache.commons.math.distribution.CauchyDistribution

Access the median.

getMedian() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl

Access the median.

getMessage() - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException

Gets the message in a conventional US locale.

getMessage() - Method in exception org.apache.commons.math.exception.MathIllegalStateException

Gets the message in a conventional US locale.

getMessage() - Method in interface org.apache.commons.math.exception.MathThrowable

Gets the message in a conventional US locale.

getMessage() - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException

Gets the message in a conventional US locale.

getMessage() - Method in exception org.apache.commons.math.MathException

Gets the message in a conventional US locale.

getMessage() - Method in exception org.apache.commons.math.MathRuntimeException

Gets the message in a conventional US locale.

getMessage(Locale) - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException

Get the message in a specified locale.

getMessage(Locale) - Method in exception org.apache.commons.math.exception.MathIllegalStateException

Get the message in a specified locale.

getMessage(Locale) - Method in interface org.apache.commons.math.exception.MathThrowable

Gets the message in a specified locale.

getMessage(Locale) - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException

Get the message in a specified locale.

getMessage(Locale) - Method in exception org.apache.commons.math.MathException

Gets the message in a specified locale.

getMessage(Locale) - Method in exception org.apache.commons.math.MathRuntimeException

Gets the message in a specified locale.

getMid() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder

getMin() - Method in exception org.apache.commons.math.exception.NumberIsTooSmallException

getMin() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

getMin() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Returns the minimum of the available values

getMin() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the minimum of the available values

getMin() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the minimum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getMin() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the minimum of the i^th entries of the arrays that correspond to each multivariate sample

getMin() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary

Returns the minimum of the available values

getMin() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues

getMin() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the minimum of the values that have been added.

getMin() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the minimum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getMin() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the minimum of the values that have been added.

getMinimalIterationCount() - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator

Get the lower limit for the number of iterations.

getMinimalIterationCount() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl

Get the lower limit for the number of iterations.

getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the currently configured minimum implementation.

getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns the currently configured minimum implementation

getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the currently configured minimum implementation

getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the currently configured minimum implementation

getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured minimum implementation

getMinIndex() - Method in class org.apache.commons.math.linear.AbstractRealVector

Get the index of the minimum entry.

getMinReduction() - Method in class org.apache.commons.math.ode.MultistepIntegrator

Get the minimal reduction factor for stepsize control.

getMinReduction() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Get the minimal reduction factor for stepsize control.

getMinStep() - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Get the minimal step.

getMinValue() - Method in class org.apache.commons.math.linear.AbstractRealVector

Get the value of the minimum entry.

getMode() - Method in class org.apache.commons.math.random.ValueServer

Getter for property mode.

getMu() - Method in class org.apache.commons.math.random.ValueServer

Getter for property mu.

getMutationPolicy() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm

Returns the mutation policy.

getMutationRate() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm

Returns the mutation rate.

getN() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction

Returns the number of spline segments = the number of polynomials = the number of knot points - 1.

getN() - Method in class org.apache.commons.math.stat.correlation.Covariance

Returns the number of observations (length of covariate vectors)

getN() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Returns the number of available values

getN() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the number of available values

getN() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance

Get the number of vectors in the sample.

getN() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean

Get the number of vectors in the sample.

getN() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns the number of available values

getN() - Method in class org.apache.commons.math.stat.descriptive.rank.Max

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math.stat.descriptive.rank.Min

Returns the number of values that have been added.

getN() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary

Returns the number of available values

getN() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary

Returns the number of available values

getN() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues

getN() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math.stat.descriptive.summary.Product

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the number of available values

getN() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

Returns the number of available values

getN() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the number of available values

getN() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the number of available values

getN() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the number of observations that have been added to the model.

getName() - Method in class org.apache.commons.math.estimation.EstimatedParameter

Deprecated.

get the name of the parameter

getName() - Method in class org.apache.commons.math.ode.AbstractIntegrator

Get the name of the method.

getName() - Method in interface org.apache.commons.math.ode.ODEIntegrator

Get the name of the method.

getNanStrategy() - Method in class org.apache.commons.math.stat.ranking.NaturalRanking

Return the NaNStrategy

getNewtonCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm

Returns a copy of coefficients in Newton form formula.

getNext() - Method in class org.apache.commons.math.random.ValueServer

Returns the next generated value, generated according to the mode value (see MODE constants).

getNextValue() - Method in interface org.apache.commons.math.random.EmpiricalDistribution

Generates a random value from this distribution.

getNextValue() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl

Generates a random value from this distribution.

getNorm() - Method in class org.apache.commons.math.geometry.Vector3D

Get the L₂ norm for the vector.

getNorm() - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the maximum absolute row sum norm of the matrix.

getNorm() - Method in class org.apache.commons.math.linear.AbstractRealVector

Returns the L₂ norm of the vector.

getNorm() - Method in class org.apache.commons.math.linear.ArrayRealVector

Returns the L₂ norm of the vector.

getNorm() - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the maximum absolute row sum norm of the matrix.

getNorm() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the maximum absolute row sum norm of the matrix.

getNorm() - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the maximum absolute row sum norm of the matrix.

getNorm() - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the maximum absolute row sum norm of the matrix.

getNorm() - Method in interface org.apache.commons.math.linear.RealVector

Returns the L₂ norm of the vector.

getNorm() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition

Returns the L₂ norm of the matrix.

getNorm() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl

Returns the L₂ norm of the matrix.

getNorm1() - Method in class org.apache.commons.math.geometry.Vector3D

Get the L₁ norm for the vector.

getNormInf() - Method in class org.apache.commons.math.geometry.Vector3D

Get the L_∞ norm for the vector.

getNormSq() - Method in class org.apache.commons.math.geometry.Vector3D

Get the square of the norm for the vector.

getNSteps() - Method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer

Get the number of steps of the method (excluding the one being computed).

getNumberOfElements() - Method in interface org.apache.commons.math.distribution.ZipfDistribution

Get the number of elements (e.g.

getNumberOfElements() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl

Get the number of elements (e.g.

getNumberOfSuccesses() - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution

Access the number of successes.

getNumberOfSuccesses() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl

Access the number of successes.

getNumberOfSuccesses() - Method in interface org.apache.commons.math.distribution.PascalDistribution

Access the number of successes for this distribution.

getNumberOfSuccesses() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl

Access the number of successes for this distribution.

getNumberOfTrials() - Method in interface org.apache.commons.math.distribution.BinomialDistribution

Access the number of trials for this distribution.

getNumberOfTrials() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl

Access the number of trials for this distribution.

getNumElements() - Method in interface org.apache.commons.math.util.DoubleArray

Returns the number of elements currently in the array.

getNumElements() - Method in class org.apache.commons.math.util.ResizableDoubleArray

Returns the number of elements currently in the array.

getNumerator() - Method in class org.apache.commons.math.fraction.BigFraction

Access the numerator as a BigInteger.

getNumerator() - Method in class org.apache.commons.math.fraction.Fraction

Access the numerator.

getNumeratorAsInt() - Method in class org.apache.commons.math.fraction.BigFraction

Access the numerator as a int.

getNumeratorAsLong() - Method in class org.apache.commons.math.fraction.BigFraction

Access the numerator as a long.

getNumeratorDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.FDistribution

Access the numerator degrees of freedom.

getNumeratorDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.FDistributionImpl

Access the numerator degrees of freedom.

getNumeratorFormat() - Method in class org.apache.commons.math.fraction.AbstractFormat

Access the numerator format.

getNumericalMean() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

Returns the mean.

getNumericalMean() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl

Returns the mean.

getNumericalMean() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl

Returns the mean.

getNumericalMean() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Returns the mean of the distribution.

getNumericalMean() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl

Returns the mean of the distribution.

getNumericalMean() - Method in class org.apache.commons.math.distribution.FDistributionImpl

Returns the mean of the distribution.

getNumericalMean() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

Returns the mean.

getNumericalMean() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl

Returns the mean.

getNumericalMean() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl

Returns the mean.

getNumericalMean() - Method in class org.apache.commons.math.distribution.TDistributionImpl

Returns the mean.

getNumericalMean() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

Returns the mean of the distribution.

getNumericalMean() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl

Returns the mean.

getNumericalVariance() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

Returns the variance.

getNumericalVariance() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl

Returns the variance.

getNumericalVariance() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl

Returns the variance.

getNumericalVariance() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Returns the variance of the distribution.

getNumericalVariance() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl

Returns the variance of the distribution.

getNumericalVariance() - Method in class org.apache.commons.math.distribution.FDistributionImpl

Returns the variance of the distribution.

getNumericalVariance() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

Returns the variance.

getNumericalVariance() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl

Returns the variance.

getNumericalVariance() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

Returns the variance.

getNumericalVariance() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl

Returns the variance.

getNumericalVariance() - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl

Returns the variance of the distribution.

getNumericalVariance() - Method in class org.apache.commons.math.distribution.TDistributionImpl

Returns the variance.

getNumericalVariance() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

Returns the variance of the distribution.

getNumericalVariance() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl

Returns the variance.

getNumGenerations() - Method in class org.apache.commons.math.genetics.FixedGenerationCount

getObservations() - Method in class org.apache.commons.math.optimization.fitting.CurveFitter

Get the observed points.

getOmegaInverse() - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression

Get the inverse of the covariance.

getOne() - Method in class org.apache.commons.math.complex.ComplexField

Get the multiplicative identity of the field.

getOne() - Method in class org.apache.commons.math.dfp.Dfp

Get the constant 1.

getOne() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant 1.

getOne() - Method in interface org.apache.commons.math.Field

Get the multiplicative identity of the field.

getOne() - Method in class org.apache.commons.math.fraction.BigFractionField

Get the multiplicative identity of the field.

getOne() - Method in class org.apache.commons.math.fraction.FractionField

Get the multiplicative identity of the field.

getOne() - Method in class org.apache.commons.math.util.BigRealField

Get the multiplicative identity of the field.

getOneWayAnova() - Static method in class org.apache.commons.math.stat.inference.TestUtils

Deprecated.

2.2 will be removed in 3.0

getOptima() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer

Get all the optima found during the last call to optimize.

getOptima() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer

Get all the optima found during the last call to optimize.

getOptima() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer

Get all the optima found during the last call to optimize.

getOptima() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Get all the optima found during the last call to optimize.

getOptimaValues() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Get all the function values at optima found during the last call to optimize.

getOrder() - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator

Get the order of the method.

getOrder() - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator

Get the order of the method.

getOrder() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Get the order of the method.

getOrder() - Method in class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator

Get the order of the method.

getP() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition

Returns the P rows permutation matrix.

getP() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl

Returns the P rows permutation matrix.

getP() - Method in interface org.apache.commons.math.linear.LUDecomposition

Returns the P rows permutation matrix.

getP() - Method in class org.apache.commons.math.linear.LUDecompositionImpl

Returns the P rows permutation matrix.

getParametersDimension() - Method in interface org.apache.commons.math.ode.jacobians.ODEWithJacobians

Deprecated.

Get the number of parameters.

getParametersDimension() - Method in interface org.apache.commons.math.ode.jacobians.ParameterizedODE

Deprecated.

Get the number of parameters.

getPartial(EstimatedParameter) - Method in class org.apache.commons.math.estimation.WeightedMeasurement

Deprecated.

Get the partial derivative of the theoretical value according to the parameter.

getPattern() - Method in exception org.apache.commons.math.MathException

Deprecated.

as of 2.2 replaced by MathException.getSpecificPattern() and MathException.getGeneralPattern()

getPattern() - Method in exception org.apache.commons.math.MathRuntimeException

Deprecated.

as of 2.2 replaced by MathRuntimeException.getSpecificPattern() and MathRuntimeException.getGeneralPattern()

getPct(char) - Method in class org.apache.commons.math.stat.Frequency

Returns the percentage of values that are equal to v (as a proportion between 0 and 1).

getPct(int) - Method in class org.apache.commons.math.stat.Frequency

Returns the percentage of values that are equal to v (as a proportion between 0 and 1).

getPct(long) - Method in class org.apache.commons.math.stat.Frequency

Returns the percentage of values that are equal to v (as a proportion between 0 and 1).

getPct(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency

Returns the percentage of values that are equal to v (as a proportion between 0 and 1).

getPct(Object) - Method in class org.apache.commons.math.stat.Frequency

Deprecated.

replaced by Frequency.getPct(Comparable) as of 2.0

getPercentile(double) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns an estimate for the pth percentile of the stored values.

getPercentileImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the currently configured percentile implementation.

getPermutation() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the permutation associated with the lu decomposition.

getPhase() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction

Get the phase φ.

getPi() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant π.

getPiSplit() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant π split in two pieces.

getPivot() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition

Returns the pivot permutation vector.

getPivot() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl

Returns the pivot permutation vector.

getPivot() - Method in interface org.apache.commons.math.linear.LUDecomposition

Returns the pivot permutation vector.

getPivot() - Method in class org.apache.commons.math.linear.LUDecompositionImpl

Returns the pivot permutation vector.

getPoint() - Method in class org.apache.commons.math.optimization.RealPointValuePair

Get the point.

getPoint() - Method in class org.apache.commons.math.optimization.VectorialPointValuePair

Get the point.

getPoint() - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint

Get the n-dimensional point in integer space.

getPointRef() - Method in class org.apache.commons.math.optimization.RealPointValuePair

Get a reference to the point.

getPointRef() - Method in class org.apache.commons.math.optimization.VectorialPointValuePair

Get a reference to the point.

getPoints() - Method in class org.apache.commons.math.stat.clustering.Cluster

Get the points contained in the cluster.

getPolynomialFunction() - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver

Deprecated.

as of 2.0 the function is not stored anymore within the instance.

getPolynomials() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction

Returns a copy of the interpolating polynomials array.

getPopulationLimit() - Method in class org.apache.commons.math.genetics.ListPopulation

Access the maximum population size.

getPopulationLimit() - Method in interface org.apache.commons.math.genetics.Population

Access the maximum population size.

getPopulationSize() - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution

Access the population size.

getPopulationSize() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl

Access the population size.

getPopulationSize() - Method in class org.apache.commons.math.genetics.ListPopulation

Access the current population size.

getPopulationSize() - Method in interface org.apache.commons.math.genetics.Population

Access the current population size.

getPrefix() - Method in class org.apache.commons.math.geometry.Vector3DFormat

Get the format prefix.

getPrefix() - Method in class org.apache.commons.math.linear.RealVectorFormat

Get the format prefix.

getPrevious() - Method in exception org.apache.commons.math.exception.NonMonotonousSequenceException

getPreviousTime() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians

Deprecated.

Get the previous grid point time.

getPreviousTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Get the previous soft grid point time.

getPreviousTime() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator

Get the previous grid point time.

getProbabilityOfSuccess() - Method in interface org.apache.commons.math.distribution.BinomialDistribution

Access the probability of success for this distribution.

getProbabilityOfSuccess() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl

Access the probability of success for this distribution.

getProbabilityOfSuccess() - Method in interface org.apache.commons.math.distribution.PascalDistribution

Access the probability of success for this distribution.

getProbabilityOfSuccess() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl

Access the probability of success for this distribution.

getProperInstance() - Static method in class org.apache.commons.math.fraction.BigFractionFormat

Returns the default complex format for the current locale.

getProperInstance() - Static method in class org.apache.commons.math.fraction.FractionFormat

Returns the default complex format for the current locale.

getProperInstance(Locale) - Static method in class org.apache.commons.math.fraction.BigFractionFormat

Returns the default complex format for the given locale.

getProperInstance(Locale) - Static method in class org.apache.commons.math.fraction.FractionFormat

Returns the default complex format for the given locale.

getPulsation() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction

Get the pulsation ω.

getQ() - Method in interface org.apache.commons.math.linear.QRDecomposition

Returns the matrix Q of the decomposition.

getQ() - Method in class org.apache.commons.math.linear.QRDecompositionImpl

Returns the matrix Q of the decomposition.

getQ0() - Method in class org.apache.commons.math.geometry.Rotation

Get the scalar coordinate of the quaternion.

getQ1() - Method in class org.apache.commons.math.geometry.Rotation

Get the first coordinate of the vectorial part of the quaternion.

getQ2() - Method in class org.apache.commons.math.geometry.Rotation

Get the second coordinate of the vectorial part of the quaternion.

getQ3() - Method in class org.apache.commons.math.geometry.Rotation

Get the third coordinate of the vectorial part of the quaternion.

getQT() - Method in interface org.apache.commons.math.linear.QRDecomposition

Returns the transpose of the matrix Q of the decomposition.

getQT() - Method in class org.apache.commons.math.linear.QRDecompositionImpl

Returns the transpose of the matrix Q of the decomposition.

getQuantile() - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile

Returns the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).

getR() - Method in interface org.apache.commons.math.linear.QRDecomposition

Returns the matrix R of the decomposition.

getR() - Method in class org.apache.commons.math.linear.QRDecompositionImpl

Returns the matrix R of the decomposition.

getR() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns Pearson's product moment correlation coefficient, usually denoted r.

getRadixDigits() - Method in class org.apache.commons.math.dfp.Dfp

Get the number of radix digits of the instance.

getRadixDigits() - Method in class org.apache.commons.math.dfp.DfpField

Get the number of radix digits of the Dfp instances built by this factory.

getRandomGenerator() - Static method in class org.apache.commons.math.genetics.GeneticAlgorithm

Returns the (static) random generator.

getRank() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition

Return the effective numerical matrix rank.

getRank() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl

Return the effective numerical matrix rank.

getRank() - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator

Get the rank of the covariance matrix.

getRankCorrelation() - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation

Returns a PearsonsCorrelation instance constructed from the ranked input data.

getReal() - Method in class org.apache.commons.math.complex.Complex

Access the real part.

getRealEigenvalue(int) - Method in interface org.apache.commons.math.linear.EigenDecomposition

Returns the real part of the i^th eigenvalue of the original matrix.

getRealEigenvalue(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl

Returns the real part of the i^th eigenvalue of the original matrix.

getRealEigenvalues() - Method in interface org.apache.commons.math.linear.EigenDecomposition

Returns a copy of the real parts of the eigenvalues of the original matrix.

getRealEigenvalues() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl

Returns a copy of the real parts of the eigenvalues of the original matrix.

getRealFormat() - Method in class org.apache.commons.math.complex.ComplexFormat

Access the realFormat.

getReducedFraction(int, int) - Static method in class org.apache.commons.math.fraction.BigFraction

Creates a BigFraction instance with the 2 parts of a fraction Y/Z.

getReducedFraction(int, int) - Static method in class org.apache.commons.math.fraction.Fraction

Creates a Fraction instance with the 2 parts of a fraction Y/Z.

getRegressionSumSquares() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).

getRelationship() - Method in class org.apache.commons.math.optimization.linear.LinearConstraint

Get the relationship between left and right hand sides.

getRelativeAccuracy() - Method in interface org.apache.commons.math.ConvergingAlgorithm

Deprecated.

Get the actual relative accuracy.

getRelativeAccuracy() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Get the actual relative accuracy.

getRelativeAccuracy() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Get the actual relative accuracy.

getRepresentation() - Method in class org.apache.commons.math.genetics.AbstractListChromosome

Returns the (immutable) inner representation of the chromosome.

getResidual() - Method in class org.apache.commons.math.estimation.WeightedMeasurement

Deprecated.

Get the residual for this measurement The residual is the measured value minus the theoretical value.

getResult() - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator

Get the result of the last run of the integrator.

getResult() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl

Access the last computed integral.

getResult() - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver

Get the result of the last run of the solver.

getResult() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Get the result of the last run of the solver.

getResult() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Get the result of the last run of the optimizer.

getResult() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Get the result of the last run of the optimizer.

getResult() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer

Get the result of the last run of the optimizer.

getResult() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness

Returns the value of the statistic based on the values that have been added.

getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance

Get the covariance matrix.

getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean

Get the mean vector.

getResult() - Method in class org.apache.commons.math.stat.descriptive.rank.Max

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math.stat.descriptive.rank.Min

Returns the current value of the Statistic.

getResult() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.Product

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares

Returns the current value of the Statistic.

getRMS() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Get the Root Mean Square value.

getRMS(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Get the Root Mean Square value.

getRMS(EstimationProblem) - Method in interface org.apache.commons.math.estimation.Estimator

Deprecated.

Get the Root Mean Square value.

getRootMatrix() - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator

Get the root of the covariance matrix.

getRoundingMode() - Method in class org.apache.commons.math.dfp.DfpField

Get the current rounding mode.

getRoundingMode() - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Gets the rounding mode

getRoundingMode() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Gets the rounding mode for division operations The default is BigDecimal.ROUND_HALF_UP

getRoundingMode() - Method in class org.apache.commons.math.util.BigReal

Gets the rounding mode for division operations The default is RoundingMode.HALF_UP

getRow(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the entries in row number row as an array.

getRow(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the entries in row number row as an array.

getRow(int) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the entries in row number row as an array.

getRow(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the entries in row number row as an array.

getRow(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the entries in row number row as an array.

getRow(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the entries in row number row as an array.

getRow(int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the entries in row number row as an array.

getRow(int) - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the entries in row number row as an array.

getRowAsDoubleArray(int) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the entries in row number row as an array of double values.

getRowAsDoubleArray(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the entries in row number row as an array of double values.

getRowDimension() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the number of rows in the matrix.

getRowDimension() - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the number of rows in the matrix.

getRowDimension() - Method in interface org.apache.commons.math.linear.AnyMatrix

Returns the number of rows in the matrix.

getRowDimension() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Returns the number of rows in the matrix.

getRowDimension() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Returns the number of rows in the matrix.

getRowDimension() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the number of rows in the matrix.

getRowDimension() - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the number of rows in the matrix.

getRowDimension() - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the number of rows in the matrix.

getRowDimension() - Method in class org.apache.commons.math.linear.OpenMapRealMatrix

Returns the number of rows in the matrix.

getRowDimension() - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Returns the number of rows in the matrix.

getRowDimension() - Method in class org.apache.commons.math.linear.SparseFieldMatrix

Returns the number of rows in the matrix.

getRowMatrix(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the entries in row number row as a row matrix.

getRowMatrix(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the entries in row number row as a row matrix.

getRowMatrix(int) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the entries in row number row as a row matrix.

getRowMatrix(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the entries in row number row as a row matrix.

getRowMatrix(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the entries in row number row as a row matrix.

getRowMatrix(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the entries in row number row as a row matrix.

getRowMatrix(int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the entries in row number row as a row matrix.

getRowMatrix(int) - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the entries in row number row as a row matrix.

getRowVector(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the entries in row number row as a vector.

getRowVector(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the entries in row number row as a vector.

getRowVector(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the entries in row number row as a vector.

getRowVector(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the entries in row number row as a vector.

getRowVector(int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the entries in row number row as a vector.

getRowVector(int) - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the entries in row number row as a vector.

getRSquare() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the coefficient of determination, usually denoted r-square.

getS() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition

Returns the diagonal matrix Σ of the decomposition.

getS() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl

Returns the diagonal matrix Σ of the decomposition.

getSafety() - Method in class org.apache.commons.math.ode.MultistepIntegrator

Get the safety factor for stepsize control.

getSafety() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Get the safety factor for stepsize control.

getSampleSize() - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution

Access the sample size.

getSampleSize() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl

Access the sample size.

getSampleStats() - Method in interface org.apache.commons.math.random.EmpiricalDistribution

Returns a StatisticalSummary describing this distribution.

getSampleStats() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl

Returns a StatisticalSummary describing this distribution.

getScale() - Method in interface org.apache.commons.math.distribution.CauchyDistribution

Access the scale parameter.

getScale() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl

Access the scale parameter.

getScale() - Method in interface org.apache.commons.math.distribution.WeibullDistribution

Access the scale parameter.

getScale() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

Access the scale parameter.

getScale() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Sets the scale for division operations.

getScale() - Method in class org.apache.commons.math.util.BigReal

Sets the scale for division operations.

getSecond() - Method in class org.apache.commons.math.genetics.ChromosomePair

Access the second chromosome.

getSecondMoment() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Returns a statistic related to the Second Central Moment.

getSecondMoment() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns a statistic related to the Second Central Moment.

getSelectionPolicy() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm

Returns the selection policy.

getSeparator() - Method in class org.apache.commons.math.geometry.Vector3DFormat

Get the format separator between components.

getSeparator() - Method in class org.apache.commons.math.linear.RealVectorFormat

Get the format separator between components.

getShape() - Method in interface org.apache.commons.math.distribution.WeibullDistribution

Access the shape parameter.

getShape() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

Access the shape parameter.

getSigma() - Method in class org.apache.commons.math.random.ValueServer

Getter for property sigma.

getSignificance() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the significance level of the slope (equiv) correlation.

getSingularValues() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition

Returns the diagonal elements of the matrix Σ of the decomposition.

getSingularValues() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl

Returns the diagonal elements of the matrix Σ of the decomposition.

getSize() - Method in class org.apache.commons.math.util.MultidimensionalCounter

Get the total number of elements.

getSizes() - Method in class org.apache.commons.math.util.MultidimensionalCounter

Get the number of multidimensional counter slots in each dimension.

getSkewness() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the skewness of the available values.

getSkewnessImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the currently configured skewness implementation.

getSlope() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the slope of the estimated regression line.

getSlopeConfidenceInterval() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the half-width of a 95% confidence interval for the slope estimate.

getSlopeConfidenceInterval(double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the half-width of a (100-100*alpha)% confidence interval for the slope estimate.

getSlopeStdErr() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the standard error of the slope estimate, usually denoted s(b1).

getSolver() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition

Get a solver for finding the A × X = B solution in least square sense.

getSolver() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl

Get a solver for finding the A × X = B solution in least square sense.

getSolver() - Method in interface org.apache.commons.math.linear.EigenDecomposition

Get a solver for finding the A × X = B solution in exact linear sense.

getSolver() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl

Get a solver for finding the A × X = B solution in exact linear sense.

getSolver() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition

Get a solver for finding the A × X = B solution in exact linear sense.

getSolver() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl

Get a solver for finding the A × X = B solution in exact linear sense.

getSolver() - Method in interface org.apache.commons.math.linear.LUDecomposition

Get a solver for finding the A × X = B solution in exact linear sense.

getSolver() - Method in class org.apache.commons.math.linear.LUDecompositionImpl

Get a solver for finding the A × X = B solution in exact linear sense.

getSolver() - Method in interface org.apache.commons.math.linear.QRDecomposition

Get a solver for finding the A × X = B solution in least square sense.

getSolver() - Method in class org.apache.commons.math.linear.QRDecompositionImpl

Get a solver for finding the A × X = B solution in least square sense.

getSolver() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition

Get a solver for finding the A × X = B solution in least square sense.

getSolver() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl

Get a solver for finding the A × X = B solution in least square sense.

getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution

Returns the solver absolute accuracy for inverse cumulative computation.

getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.

getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl

Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.

getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.

getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl

Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.

getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.FDistributionImpl

Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.

getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.

getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.

getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.TDistributionImpl

Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.

getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.

getSortedValues() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the current set of values in an array of double primitives, sorted in ascending order.

getSourceString() - Method in class org.apache.commons.math.exception.util.DummyLocalizable

Get the source (non-localized) string.

getSourceString() - Method in interface org.apache.commons.math.exception.util.Localizable

Get the source (non-localized) string.

getSourceString() - Method in enum org.apache.commons.math.exception.util.LocalizedFormats

Get the source (non-localized) string.

getSparcity() - Method in class org.apache.commons.math.linear.OpenMapRealVector

Deprecated.

as of 2.2 replaced by the correctly spelled OpenMapRealVector.getSparsity()

getSparsity() - Method in class org.apache.commons.math.linear.OpenMapRealVector

getSpecificPattern() - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException

Gets the localizable pattern used to build the specific part of the message of this throwable.

getSpecificPattern() - Method in exception org.apache.commons.math.exception.MathIllegalStateException

Gets the localizable pattern used to build the specific part of the message of this throwable.

getSpecificPattern() - Method in interface org.apache.commons.math.exception.MathThrowable

Gets the localizable pattern used to build the specific part of the message of this throwable.

getSpecificPattern() - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException

Gets the localizable pattern used to build the specific part of the message of this throwable.

getSpecificPattern() - Method in exception org.apache.commons.math.MathException

Gets the localizable pattern used to build the specific part of the message of this throwable.

getSpecificPattern() - Method in exception org.apache.commons.math.MathRuntimeException

Gets the localizable pattern used to build the specific part of the message of this throwable.

getSqr2() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant √2.

getSqr2Reciprocal() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant √2 / 2.

getSqr2Split() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant √2 split in two pieces.

getSqr3() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant √3.

getSqr3Reciprocal() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant √3 / 3.

getStandardDeviation() - Method in interface org.apache.commons.math.distribution.NormalDistribution

Access the standard deviation.

getStandardDeviation() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

Access the standard deviation.

getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Returns the standard deviation of the available values.

getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the standard deviation of the available values.

getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the standard deviation of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getStandardDeviation() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the standard deviation of the i^th entries of the arrays that correspond to each multivariate sample

getStandardDeviation() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary

Returns the standard deviation of the available values.

getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues

getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the standard deviation of the values that have been added.

getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

Returns the standard deviation of the available values.

getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the standard deviation of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the standard deviation of the values that have been added.

getStarterIntegrator() - Method in class org.apache.commons.math.ode.MultistepIntegrator

Get the starter integrator.

getStartValue() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

getStepHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator

Get all the step handlers that have been added to the integrator.

getStepHandlers() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians

Deprecated.

Get all the step handlers that have been added to the integrator.

getStepHandlers() - Method in interface org.apache.commons.math.ode.ODEIntegrator

Get all the step handlers that have been added to the integrator.

getStrict() - Method in exception org.apache.commons.math.exception.NonMonotonousSequenceException

getSubMatrix(int[], int[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Gets a submatrix.

getSubMatrix(int[], int[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Gets a submatrix.

getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Gets a submatrix.

getSubMatrix(int[], int[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Gets a submatrix.

getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math.linear.FieldMatrix

Gets a submatrix.

getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math.linear.RealMatrix

Gets a submatrix.

getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Gets a submatrix.

getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Gets a submatrix.

getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Gets a submatrix.

getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Gets a submatrix.

getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Gets a submatrix.

getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Gets a submatrix.

getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Gets a submatrix.

getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix

Gets a submatrix.

getSubVector(int, int) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Get a subvector from consecutive elements.

getSubVector(int, int) - Method in class org.apache.commons.math.linear.ArrayRealVector

Get a subvector from consecutive elements.

getSubVector(int, int) - Method in interface org.apache.commons.math.linear.FieldVector

Get a subvector from consecutive elements.

getSubVector(int, int) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Get a subvector from consecutive elements.

getSubVector(int, int) - Method in interface org.apache.commons.math.linear.RealVector

Get a subvector from consecutive elements.

getSubVector(int, int) - Method in class org.apache.commons.math.linear.SparseFieldVector

Get a subvector from consecutive elements.

getSuffix() - Method in class org.apache.commons.math.geometry.Vector3DFormat

Get the format suffix.

getSuffix() - Method in class org.apache.commons.math.linear.RealVectorFormat

Get the format suffix.

getSum() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Returns the sum of the values that have been added to Univariate.

getSum() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the sum of the values that have been added to Univariate.

getSum() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the sum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getSum() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the sum of the i^th entries of the arrays that correspond to each multivariate sample

getSum() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary

Returns the sum of the values that have been added to Univariate.

getSum() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues

getSum() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the sum of the values that have been added

getSum() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the sum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getSum() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the sum of the values that have been added

getSumFreq() - Method in class org.apache.commons.math.stat.Frequency

Returns the sum of all frequencies.

getSumImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the currently configured sum implementation.

getSumImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns the currently configured Sum implementation

getSumImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the currently configured Sum implementation

getSumImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the currently configured Sum implementation

getSumImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured Sum implementation

getSumLog() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the sum of logs of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getSumLog() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the sum of logs of the i^th entries of the arrays that correspond to each multivariate sample

getSumLog() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the sum of logs of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getSumLogImpl() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean

Returns the currently configured sum of logs implementation

getSumLogImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns the currently configured sum of logs implementation

getSumLogImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the currently configured sum of logs implementation

getSumLogImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the currently configured sum of logs implementation

getSumLogImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured sum of logs implementation

getSummary() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Return a StatisticalSummaryValues instance reporting current aggregate statistics.

getSummary() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Return a StatisticalSummaryValues instance reporting current statistics.

getSummary() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Return a StatisticalSummaryValues instance reporting current statistics.

getSumOfCrossProducts() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the sum of crossproducts, x_i*y_i.

getSumOfLogs() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Returns the sum of the logs of all the aggregated data.

getSumOfLogs() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the sum of the logs of the values that have been added.

getSumsq() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Returns the sum of the squares of all the aggregated data.

getSumsq() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the sum of the squares of the available values.

getSumsq() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the sum of the squares of the values that have been added.

getSumsq() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the sum of the squares of the values that have been added.

getSumSq() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the sum of squares of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getSumSq() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the sum of squares of the i^th entries of the arrays that correspond to each multivariate sample

getSumSq() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the sum of squares of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])

getSumsqImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the currently configured sum of squares implementation.

getSumsqImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns the currently configured sum of squares implementation

getSumsqImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the currently configured sum of squares implementation

getSumsqImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the currently configured sum of squares implementation

getSumsqImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured sum of squares implementation

getSumSquaredErrors() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the sum of squared errors (SSE) associated with the regression model.

getSupportLowerBound() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

Returns the lower bound of the support for this distribution.

getSupportLowerBound() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl

Returns the lower bound of the support for the distribution.

getSupportLowerBound() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl

Returns the lower bound of the support for this distribution.

getSupportLowerBound() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Returns the lower bound of the support for the distribution.

getSupportLowerBound() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl

Returns the lower bound of the support for the distribution.

getSupportLowerBound() - Method in class org.apache.commons.math.distribution.FDistributionImpl

Returns the lower bound of the support for the distribution.

getSupportLowerBound() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

Returns the upper bound of the support for the distribution.

getSupportLowerBound() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl

Returns the lower bound for the support for the distribution.

getSupportLowerBound() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

Returns the lower bound of the support for the distribution.

getSupportLowerBound() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl

Returns the lower bound of the support for the distribution.

getSupportLowerBound() - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl

Returns the lower bound of the support for the distribution.

getSupportLowerBound() - Method in class org.apache.commons.math.distribution.TDistributionImpl

Returns the lower bound of the support for the distribution.

getSupportLowerBound() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

Returns the lower bound of the support for the distribution.

getSupportLowerBound() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl

Returns the lower bound of the support for the distribution.

getSupportUpperBound() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

Returns the upper bound of the support for this distribution.

getSupportUpperBound() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl

Returns the upper bound of the support for the distribution.

getSupportUpperBound() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl

Returns the upper bound of the support for this distribution.

getSupportUpperBound() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Returns the upper bound for the support for the distribution.

getSupportUpperBound() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl

Returns the upper bound of the support for the distribution.

getSupportUpperBound() - Method in class org.apache.commons.math.distribution.FDistributionImpl

Returns the upper bound of the support for the distribution.

getSupportUpperBound() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

Returns the upper bound of the support for the distribution.

getSupportUpperBound() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl

Returns the upper bound for the support of the distribution.

getSupportUpperBound() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

Returns the upper bound of the support for the distribution.

getSupportUpperBound() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl

Returns the upper bound of the support for the distribution.

getSupportUpperBound() - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl

Returns the upper bound of the support for the distribution.

getSupportUpperBound() - Method in class org.apache.commons.math.distribution.TDistributionImpl

Returns the upper bound of the support for the distribution.

getSupportUpperBound() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

Returns the upper bound of the support for the distribution.

getSupportUpperBound() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl

Returns the upper bound of the support for the distribution.

getTheoreticalValue() - Method in class org.apache.commons.math.estimation.WeightedMeasurement

Deprecated.

Get the theoretical value expected for this measurement

getTiesStrategy() - Method in class org.apache.commons.math.stat.ranking.NaturalRanking

Return the TiesStrategy

getTotalSumSquares() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the sum of squared deviations of the y values about their mean.

getTrace() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the trace of the matrix (the sum of the elements on the main diagonal).

getTrace() - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the trace of the matrix (the sum of the elements on the main diagonal).

getTrace() - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the trace of the matrix (the sum of the elements on the main diagonal).

getTrace() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the trace of the matrix (the sum of the elements on the main diagonal).

getTrace() - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the trace of the matrix (the sum of the elements on the main diagonal).

getTrace() - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the trace of the matrix (the sum of the elements on the main diagonal).

getTransformer(Class<?>) - Method in class org.apache.commons.math.util.TransformerMap

Returns the Transformer that is mapped to a class if mapping is not present, this returns null.

getTTest() - Static method in class org.apache.commons.math.stat.inference.TestUtils

Deprecated.

2.2 will be removed in 3.0

getTwo() - Method in class org.apache.commons.math.dfp.Dfp

Get the constant 2.

getTwo() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant 2.

getU() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition

Returns the matrix U of the decomposition.

getU() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl

Returns the matrix U of the decomposition.

getU() - Method in interface org.apache.commons.math.linear.LUDecomposition

Returns the matrix U of the decomposition.

getU() - Method in class org.apache.commons.math.linear.LUDecompositionImpl

Returns the matrix U of the decomposition.

getU() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition

Returns the matrix U of the decomposition.

getU() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl

Returns the matrix U of the decomposition.

getUnboundParameters() - Method in interface org.apache.commons.math.estimation.EstimationProblem

Deprecated.

Get the unbound parameters of the problem.

getUnboundParameters() - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem

Deprecated.

Get the unbound parameters of the problem.

getUniqueCount() - Method in class org.apache.commons.math.stat.Frequency

Returns the number of values in the frequency table.

getUnknownDistributionChiSquareTest() - Static method in class org.apache.commons.math.stat.inference.TestUtils

Deprecated.

2.2 will be removed in 3.0

getUpperBounds() - Method in interface org.apache.commons.math.random.EmpiricalDistribution

Returns the array of upper bounds for the bins.

getUpperBounds() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl

Returns a fresh copy of the array of upper bounds for the bins.

getUT() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition

Returns the transpose of the matrix U of the decomposition.

getUT() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl

Returns the transpose of the matrix U of the decomposition.

getV() - Method in interface org.apache.commons.math.linear.EigenDecomposition

Returns the matrix V of the decomposition.

getV() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl

Returns the matrix V of the decomposition.

getV() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition

Returns the matrix V of the decomposition.

getV() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl

Returns the matrix V of the decomposition.

getValue() - Method in class org.apache.commons.math.linear.AbstractRealVector.EntryImpl

Get the value of the entry.

getValue() - Method in class org.apache.commons.math.linear.OpenMapRealVector.OpenMapEntry

Get the value of the entry.

getValue() - Method in class org.apache.commons.math.linear.RealVector.Entry

Get the value of the entry.

getValue() - Method in class org.apache.commons.math.optimization.linear.LinearConstraint

Get the value of the constraint (right hand side).

getValue() - Method in class org.apache.commons.math.optimization.RealPointValuePair

Get the value of the objective function.

getValue() - Method in class org.apache.commons.math.optimization.VectorialPointValuePair

Get the value of the objective function.

getValue(double[]) - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction

Compute the value of the linear equation at the current point

getValue(RealVector) - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction

Compute the value of the linear equation at the current point

getValueRef() - Method in class org.apache.commons.math.optimization.VectorialPointValuePair

Get a reference to the value of the objective function.

getValues() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the current set of values in an array of double primitives.

getValues() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

Returns the current set of values in an array of double primitives.

getValues() - Method in class org.apache.commons.math.util.ResizableDoubleArray

Deprecated.

replaced by ResizableDoubleArray.getInternalValues() as of 2.0

getValuesFileURL() - Method in class org.apache.commons.math.random.ValueServer

Getter for valuesFileURL

getVariance() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics

Returns the variance of the available values.

getVariance() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the variance of the available values.

getVariance() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary

Returns the variance of the available values.

getVariance() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues

getVariance() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the variance of the values that have been added.

getVariance() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the variance of the values that have been added.

getVarianceDirection() - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance

Returns the varianceDirection property.

getVarianceImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the currently configured variance implementation.

getVarianceImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns the currently configured variance implementation

getVarianceImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured variance implementation

getVT() - Method in interface org.apache.commons.math.linear.EigenDecomposition

Returns the transpose of the matrix V of the decomposition.

getVT() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl

Returns the transpose of the matrix V of the decomposition.

getVT() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition

Returns the transpose of the matrix V of the decomposition.

getVT() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl

Returns the transpose of the matrix V of the decomposition.

getWeight() - Method in class org.apache.commons.math.estimation.WeightedMeasurement

Deprecated.

Get the weight of the measurement in the least squares problem

getWeight() - Method in class org.apache.commons.math.optimization.fitting.WeightedObservedPoint

Get the weight of the measurement in the fitting process.

getWholeFormat() - Method in class org.apache.commons.math.fraction.ProperBigFractionFormat

Access the whole format.

getWholeFormat() - Method in class org.apache.commons.math.fraction.ProperFractionFormat

Access the whole format.

getWindowSize() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.

getWindowSize() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.

getX() - Method in class org.apache.commons.math.geometry.Vector3D

Get the abscissa of the vector.

getX() - Method in class org.apache.commons.math.optimization.fitting.WeightedObservedPoint

Get the abscissa of the point.

getXSumSquares() - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the sum of squared deviations of the x values about their mean.

getY() - Method in class org.apache.commons.math.geometry.Vector3D

Get the ordinate of the vector.

getY() - Method in class org.apache.commons.math.optimization.fitting.WeightedObservedPoint

Get the observed value of the function at x.

getZ() - Method in class org.apache.commons.math.geometry.Vector3D

Get the height of the vector.

getZero() - Method in class org.apache.commons.math.complex.ComplexField

Get the additive identity of the field.

getZero() - Method in class org.apache.commons.math.dfp.Dfp

Get the constant 0.

getZero() - Method in class org.apache.commons.math.dfp.DfpField

Get the constant 0.

getZero() - Method in interface org.apache.commons.math.Field

Get the additive identity of the field.

getZero() - Method in class org.apache.commons.math.fraction.BigFractionField

Get the additive identity of the field.

getZero() - Method in class org.apache.commons.math.fraction.FractionField

Get the additive identity of the field.

getZero() - Method in class org.apache.commons.math.util.BigRealField

Get the additive identity of the field.

GillIntegrator - Class in org.apache.commons.math.ode.nonstiff

This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations .

GillIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.GillIntegrator

Simple constructor.

GLSMultipleLinearRegression - Class in org.apache.commons.math.stat.regression

The GLS implementation of the multiple linear regression.

GLSMultipleLinearRegression() - Constructor for class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression

goal - Variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Deprecated.

goal - Variable in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer

Type of optimization goal: either GoalType.MAXIMIZE or GoalType.MINIMIZE.

GoalType - Enum in org.apache.commons.math.optimization

Goal type for an optimization problem.

gradient() - Method in interface org.apache.commons.math.analysis.DifferentiableMultivariateRealFunction

Returns the gradient function.

gradient(double, double[]) - Method in class org.apache.commons.math.optimization.fitting.ParametricGaussianFunction

Computes the gradient vector for a four variable version of the function where the parameters, a, b, c, and d, are considered the variables, not x.

gradient(double, double[]) - Method in interface org.apache.commons.math.optimization.fitting.ParametricRealFunction

Compute the gradient of the function with respect to its parameters.

GraggBulirschStoerIntegrator - Class in org.apache.commons.math.ode.nonstiff

This class implements a Gragg-Bulirsch-Stoer integrator for Ordinary Differential Equations.

GraggBulirschStoerIntegrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator

Simple constructor.

GraggBulirschStoerIntegrator(double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator

Simple constructor.

greaterThan(Dfp) - Method in class org.apache.commons.math.dfp.Dfp

Check if instance is greater than x.

guess() - Method in class org.apache.commons.math.optimization.fitting.GaussianParametersGuesser

Guesses the parameters based on the observed points.

guess() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser

Estimate a first guess of the coefficients.

guessParametersErrors() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Guess the errors in optimized parameters.

guessParametersErrors(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Guess the errors in unbound estimated parameters.

guessParametersErrors(EstimationProblem) - Method in interface org.apache.commons.math.estimation.Estimator

Deprecated.

Guess the errors in estimated parameters.

H

h - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

current time step

handleStep(double, double[], double[], boolean) - Method in interface org.apache.commons.math.ode.sampling.FixedStepHandler

Handle the last accepted step

handleStep(StepInterpolatorWithJacobians, boolean) - Method in interface org.apache.commons.math.ode.jacobians.StepHandlerWithJacobians

Deprecated.

Handle the last accepted step

handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math.ode.ContinuousOutputModel

Handle the last accepted step.

handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math.ode.sampling.DummyStepHandler

Handle the last accepted step.

handleStep(StepInterpolator, boolean) - Method in interface org.apache.commons.math.ode.sampling.StepHandler

Handle the last accepted step

handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math.ode.sampling.StepNormalizer

Handle the last accepted step

HarmonicCoefficientsGuesser - Class in org.apache.commons.math.optimization.fitting

This class guesses harmonic coefficients from a sample.

HarmonicCoefficientsGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser

Simple constructor.

HarmonicFitter - Class in org.apache.commons.math.optimization.fitting

This class implements a curve fitting specialized for sinusoids.

HarmonicFitter(DifferentiableMultivariateVectorialOptimizer) - Constructor for class org.apache.commons.math.optimization.fitting.HarmonicFitter

Simple constructor.

HarmonicFitter(DifferentiableMultivariateVectorialOptimizer, double[]) - Constructor for class org.apache.commons.math.optimization.fitting.HarmonicFitter

Simple constructor.

HarmonicFunction - Class in org.apache.commons.math.optimization.fitting

Harmonic function of the form f (t) = a cos (ω t + φ).

HarmonicFunction(double, double, double) - Constructor for class org.apache.commons.math.optimization.fitting.HarmonicFunction

Simple constructor.

HasDensity<P> - Interface in org.apache.commons.math.distribution

Deprecated.

to be removed in math 3.0

hash(double) - Static method in class org.apache.commons.math.util.MathUtils

Returns an integer hash code representing the given double value.

hash(double[]) - Static method in class org.apache.commons.math.util.MathUtils

Returns an integer hash code representing the given double array.

hashCode() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction

hashCode() - Method in class org.apache.commons.math.complex.Complex

Get a hashCode for the complex number.

hashCode() - Method in class org.apache.commons.math.dfp.Dfp

Gets a hashCode for the instance.

hashCode() - Method in class org.apache.commons.math.fraction.BigFraction

Gets a hashCode for the fraction.

hashCode() - Method in class org.apache.commons.math.fraction.Fraction

Gets a hashCode for the fraction.

hashCode() - Method in class org.apache.commons.math.geometry.Vector3D

Get a hashCode for the 3D vector.

hashCode() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Computes a hashcode for the matrix.

hashCode() - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Computes a hashcode for the matrix.

hashCode() - Method in class org.apache.commons.math.linear.ArrayFieldVector

Get a hashCode for the real vector.

hashCode() - Method in class org.apache.commons.math.linear.ArrayRealVector

Get a hashCode for the real vector.

hashCode() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Computes a hashcode for the matrix.

hashCode() - Method in class org.apache.commons.math.linear.OpenMapRealVector

hashCode() - Method in class org.apache.commons.math.linear.SparseFieldVector

hashCode() - Method in class org.apache.commons.math.optimization.linear.LinearConstraint

hashCode() - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction

hashCode() - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint

hashCode() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic

Returns hash code based on getResult() and getN()

hashCode() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance

hashCode() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean

hashCode() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Returns hash code based on values of statistics

hashCode() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues

Returns hash code based on values of statistics

hashCode() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Returns hash code based on values of statistics

hashCode() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns hash code based on values of statistics

hashCode() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Returns hash code based on values of statistics

hashCode() - Method in class org.apache.commons.math.stat.Frequency

hashCode() - Method in class org.apache.commons.math.util.BigReal

hashCode() - Method in class org.apache.commons.math.util.DefaultTransformer

hashCode() - Method in class org.apache.commons.math.util.ResizableDoubleArray

Returns a hash code consistent with equals.

hashCode() - Method in class org.apache.commons.math.util.TransformerMap

hasNext() - Method in class org.apache.commons.math.linear.AbstractRealVector.SparseEntryIterator

hasNext() - Method in class org.apache.commons.math.linear.OpenMapRealVector.OpenMapSparseIterator

hasNext() - Method in class org.apache.commons.math.util.MultidimensionalCounter.Iterator

hasNext() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator

Check if there is a next element in the map.

hasNext() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator

Check if there is a next element in the map.

HighamHall54Integrator - Class in org.apache.commons.math.ode.nonstiff

This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations.

HighamHall54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator

Simple constructor.

HighamHall54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator

Simple constructor.

HOLE_BETWEEN_MODELS_TIME_RANGES - org.apache.commons.math.exception.util.LocalizedFormats

homoscedasticT(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils

homoscedasticT(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest

Computes a 2-sample t statistic, under the hypothesis of equal subpopulation variances.

homoscedasticT(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Computes a 2-sample t statistic, under the hypothesis of equal subpopulation variances.

homoscedasticT(double, double, double, double, double, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Computes t test statistic for 2-sample t-test under the hypothesis of equal subpopulation variances.

homoscedasticT(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils

homoscedasticT(StatisticalSummary, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest

Computes a 2-sample t statistic, comparing the means of the datasets described by two StatisticalSummary instances, under the assumption of equal subpopulation variances.

homoscedasticT(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Computes a 2-sample t statistic, comparing the means of the datasets described by two StatisticalSummary instances, under the assumption of equal subpopulation variances.

homoscedasticTTest(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils

homoscedasticTTest(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest

Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays, under the assumption that the two samples are drawn from subpopulations with equal variances.

homoscedasticTTest(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays, under the assumption that the two samples are drawn from subpopulations with equal variances.

homoscedasticTTest(double[], double[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils

homoscedasticTTest(double[], double[], double) - Method in interface org.apache.commons.math.stat.inference.TTest

Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha, assuming that the subpopulation variances are equal.

homoscedasticTTest(double[], double[], double) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha, assuming that the subpopulation variances are equal.

homoscedasticTTest(double, double, double, double, double, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Computes p-value for 2-sided, 2-sample t-test, under the assumption of equal subpopulation variances.

homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils

homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest

Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances.

homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances.

HypergeometricDistribution - Interface in org.apache.commons.math.distribution

The Hypergeometric Distribution.

HypergeometricDistributionImpl - Class in org.apache.commons.math.distribution

The default implementation of HypergeometricDistribution.

HypergeometricDistributionImpl(int, int, int) - Constructor for class org.apache.commons.math.distribution.HypergeometricDistributionImpl

Construct a new hypergeometric distribution with the given the population size, the number of successes in the population, and the sample size.

hypot(double, double) - Static method in class org.apache.commons.math.util.FastMath

Returns the hypotenuse of a triangle with sides x and y - sqrt(x² +y²)
avoiding intermediate overflow or underflow.

I

I - Static variable in class org.apache.commons.math.complex.Complex

The square root of -1.

i1 - Variable in class org.apache.commons.math.random.AbstractWell

Index indirection table giving for each index the value index + m1 taking table size into account.

i2 - Variable in class org.apache.commons.math.random.AbstractWell

Index indirection table giving for each index the value index + m2 taking table size into account.

i3 - Variable in class org.apache.commons.math.random.AbstractWell

Index indirection table giving for each index the value index + m3 taking table size into account.

IDENTICAL_ABSCISSAS_DIVISION_BY_ZERO - org.apache.commons.math.exception.util.LocalizedFormats

IDENTITY - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The identity function.

IDENTITY - Static variable in class org.apache.commons.math.geometry.Rotation

Identity rotation.

identityPermutation(int) - Static method in class org.apache.commons.math.genetics.RandomKey

Generates a representation corresponding to an identity permutation of length l which can be passed to the RandomKey constructor.

IEEEremainder(double, double) - Static method in class org.apache.commons.math.util.FastMath

Computes the remainder as prescribed by the IEEE 754 standard.

IMAGINARY_FORMAT - org.apache.commons.math.exception.util.LocalizedFormats

incMoment - Variable in class org.apache.commons.math.stat.descriptive.moment.Kurtosis

Determines whether or not this statistic can be incremented or cleared.

incMoment - Variable in class org.apache.commons.math.stat.descriptive.moment.Mean

Determines whether or not this statistic can be incremented or cleared.

incMoment - Variable in class org.apache.commons.math.stat.descriptive.moment.Skewness

Determines whether or not this statistic can be incremented or cleared.

incMoment - Variable in class org.apache.commons.math.stat.descriptive.moment.Variance

Boolean test to determine if this Variance should also increment the second moment, this evaluates to false when this Variance is constructed with an external SecondMoment as a parameter.

INCREASING - org.apache.commons.math.util.MathUtils.OrderDirection

Constant for increasing direction.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Mean

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.rank.Max

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.rank.Min

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.summary.Product

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.summary.Sum

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance

Add a new vector to the sample.

increment(double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean

Add a new vector to the sample.

incrementAll(double[]) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic

This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the input array.

incrementAll(double[]) - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic

Updates the internal state of the statistic to reflect addition of all values in the values array.

incrementAll(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic

This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array.

incrementAll(double[], int, int) - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic

Updates the internal state of the statistic to reflect addition of the values in the designated portion of the values array.

incrementIterationsCounter() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Increment the iterations counter by 1.

incrementIterationsCounter() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Increment the iterations counter by 1.

incrementIterationsCounter() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Increment the iterations counter by 1.

incrementIterationsCounter() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Increment the iterations counter by 1.

incrementIterationsCounter() - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer

Increment the iterations counter by 1.

incrementJacobianEvaluationsCounter() - Method in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Increment the jacobian evaluations counter.

index - Variable in class org.apache.commons.math.random.AbstractWell

Current index in the bytes pool.

INDEX_LARGER_THAN_MAX - org.apache.commons.math.exception.util.LocalizedFormats

INDEX_NOT_POSITIVE - org.apache.commons.math.exception.util.LocalizedFormats

INDEX_OUT_OF_RANGE - org.apache.commons.math.exception.util.LocalizedFormats

indicator(byte) - Static method in class org.apache.commons.math.util.MathUtils

For a byte value x, this method returns (byte)(+1) if x >= 0 and (byte)(-1) if x < 0.

indicator(double) - Static method in class org.apache.commons.math.util.MathUtils

For a double precision value x, this method returns +1.0 if x >= 0 and -1.0 if x < 0.

indicator(float) - Static method in class org.apache.commons.math.util.MathUtils

For a float value x, this method returns +1.0F if x >= 0 and -1.0F if x < 0.

indicator(int) - Static method in class org.apache.commons.math.util.MathUtils

For an int value x, this method returns +1 if x >= 0 and -1 if x < 0.

indicator(long) - Static method in class org.apache.commons.math.util.MathUtils

For a long value x, this method returns +1L if x >= 0 and -1L if x < 0.

indicator(short) - Static method in class org.apache.commons.math.util.MathUtils

For a short value x, this method returns (short)(+1) if x >= 0 and (short)(-1) if x < 0.

inducedPermutation(List<S>, List<S>) - Static method in class org.apache.commons.math.genetics.RandomKey

Generates a representation of a permutation corresponding to a permutation which yields permutedData when applied to originalData.

INF - Static variable in class org.apache.commons.math.complex.Complex

A complex number representing "+INF + INFi"

INFINITE - Static variable in class org.apache.commons.math.dfp.Dfp

Indicator value for Infinity.

INFINITE_ARRAY_ELEMENT - org.apache.commons.math.exception.util.LocalizedFormats

INFINITE_VALUE_CONVERSION - org.apache.commons.math.exception.util.LocalizedFormats

INFINITE_WINDOW - Static variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Represents an infinite window size.

INITIAL_CAPACITY_NOT_POSITIVE - org.apache.commons.math.exception.util.LocalizedFormats

INITIAL_COLUMN_AFTER_FINAL_COLUMN - org.apache.commons.math.exception.util.LocalizedFormats

INITIAL_ROW_AFTER_FINAL_ROW - org.apache.commons.math.exception.util.LocalizedFormats

initialCapacity - Variable in class org.apache.commons.math.util.ResizableDoubleArray

The initial capacity of the array.

initializeEstimate(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Initialization of the common parts of the estimation.

initializeHighOrderDerivatives(double[], double[][]) - Method in class org.apache.commons.math.ode.MultistepIntegrator

Initialize the high order scaled derivatives at step start.

initializeHighOrderDerivatives(double[], double[][]) - Method in interface org.apache.commons.math.ode.MultistepIntegrator.NordsieckTransformer

Initialize the high order scaled derivatives at step start.

initializeHighOrderDerivatives(double[], double[][]) - Method in class org.apache.commons.math.ode.nonstiff.AdamsIntegrator

Initialize the high order scaled derivatives at step start.

initializeHighOrderDerivatives(double[], double[][]) - Method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer

Initialize the high order scaled derivatives at step start.

initializeStep(FirstOrderDifferentialEquations, boolean, int, double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Initialize the integration step.

INPUT_ARRAY - org.apache.commons.math.exception.util.LocalizedFormats

INPUT_DATA_FROM_UNSUPPORTED_DATASOURCE - org.apache.commons.math.exception.util.LocalizedFormats

INSTANCES_NOT_COMPARABLE_TO_EXISTING_VALUES - org.apache.commons.math.exception.util.LocalizedFormats

INSUFFICIENT_DATA_FOR_T_STATISTIC - org.apache.commons.math.exception.util.LocalizedFormats

INSUFFICIENT_DIMENSION - org.apache.commons.math.exception.util.LocalizedFormats

INSUFFICIENT_OBSERVED_POINTS_IN_SAMPLE - org.apache.commons.math.exception.util.LocalizedFormats

INSUFFICIENT_ROWS_AND_COLUMNS - org.apache.commons.math.exception.util.LocalizedFormats

IntegerDistribution - Interface in org.apache.commons.math.distribution

Interface for discrete distributions of integer-valued random variables.

integrate(double, double) - Method in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator

Deprecated.

integrate(double, double) - Method in class org.apache.commons.math.analysis.integration.RombergIntegrator

Deprecated.

integrate(double, double) - Method in class org.apache.commons.math.analysis.integration.SimpsonIntegrator

Deprecated.

integrate(double, double) - Method in class org.apache.commons.math.analysis.integration.TrapezoidIntegrator

Deprecated.

integrate(double, double) - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator

Deprecated.

replaced by UnivariateRealIntegrator.integrate(UnivariateRealFunction, double, double) since 2.0

integrate(double, double[], double[][], double, double[], double[][], double[][]) - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians

Deprecated.

Integrate the differential equations and the variational equations up to the given time.

integrate(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator

Integrate the function in the given interval.

integrate(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.integration.RombergIntegrator

Integrate the function in the given interval.

integrate(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.integration.SimpsonIntegrator

Integrate the function in the given interval.

integrate(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.integration.TrapezoidIntegrator

Integrate the function in the given interval.

integrate(UnivariateRealFunction, double, double) - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator

Integrate the function in the given interval.

integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in interface org.apache.commons.math.ode.FirstOrderIntegrator

Integrate the differential equations up to the given time.

integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdamsBashforthIntegrator

Integrate the differential equations up to the given time.

integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdamsIntegrator

Integrate the differential equations up to the given time.

integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator

Integrate the differential equations up to the given time.

integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Integrate the differential equations up to the given time.

integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Integrate the differential equations up to the given time.

integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator

Integrate the differential equations up to the given time.

integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.RungeKuttaIntegrator

Integrate the differential equations up to the given time.

integrate(SecondOrderDifferentialEquations, double, double[], double[], double, double[], double[]) - Method in interface org.apache.commons.math.ode.SecondOrderIntegrator

Integrate the differential equations up to the given time

INTEGRATION_METHOD_NEEDS_AT_LEAST_ONE_PREVIOUS_POINT - org.apache.commons.math.exception.util.LocalizedFormats

IntegratorException - Exception in org.apache.commons.math.ode

This exception is made available to users to report the error conditions that are triggered during integration

IntegratorException(String, Object...) - Constructor for exception org.apache.commons.math.ode.IntegratorException

Deprecated.

as of 2.2 replaced by IntegratorException(Localizable, Object...)

IntegratorException(Throwable) - Constructor for exception org.apache.commons.math.ode.IntegratorException

Create an exception with a given root cause.

IntegratorException(Localizable, Object...) - Constructor for exception org.apache.commons.math.ode.IntegratorException

Simple constructor.

INTERNAL_ERROR - org.apache.commons.math.exception.util.LocalizedFormats

internalArray - Variable in class org.apache.commons.math.util.ResizableDoubleArray

The internal storage array.

interpolate(double[][], double[]) - Method in class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator

Computes an interpolating function for the data set.

interpolate(double[][], double[]) - Method in interface org.apache.commons.math.analysis.interpolation.MultivariateRealInterpolator

Computes an interpolating function for the data set.

interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.DividedDifferenceInterpolator

Computes an interpolating function for the data set.

interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.LinearInterpolator

Computes a linear interpolating function for the data set.

interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.LoessInterpolator

Compute an interpolating function by performing a loess fit on the data at the original abscissae and then building a cubic spline with a SplineInterpolator on the resulting fit.

interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.NevilleInterpolator

Computes an interpolating function for the data set.

interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.SplineInterpolator

Computes an interpolating function for the data set.

interpolate(double[], double[]) - Method in interface org.apache.commons.math.analysis.interpolation.UnivariateRealInterpolator

Computes an interpolating function for the data set.

interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolator

Computes an interpolating function for the data set.

interpolate(double[], double[], double[][]) - Method in interface org.apache.commons.math.analysis.interpolation.BivariateRealGridInterpolator

Computes an interpolating function for the data set.

interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math.analysis.interpolation.SmoothingBicubicSplineInterpolator

Deprecated.

Computes an interpolating function for the data set.

interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator

Computes an interpolating function for the data set.

interpolate(double[], double[], double[], double[][][]) - Method in class org.apache.commons.math.analysis.interpolation.TricubicSplineInterpolator

Computes an interpolating function for the data set.

interpolate(double[], double[], double[], double[][][]) - Method in interface org.apache.commons.math.analysis.interpolation.TrivariateRealGridInterpolator

Computes an interpolating function for the data set.

interpolatedDerivatives - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

interpolated derivatives

interpolatedState - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

interpolated state

interpolatedTime - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

interpolated time

intValue() - Method in class org.apache.commons.math.dfp.Dfp

Convert this to an integer.

intValue() - Method in class org.apache.commons.math.fraction.BigFraction

Gets the fraction as an int.

intValue() - Method in class org.apache.commons.math.fraction.Fraction

Gets the fraction as an int.

INVALID_BRACKETING_PARAMETERS - org.apache.commons.math.exception.util.LocalizedFormats

INVALID_INTERVAL_INITIAL_VALUE_PARAMETERS - org.apache.commons.math.exception.util.LocalizedFormats

INVALID_ITERATIONS_LIMITS - org.apache.commons.math.exception.util.LocalizedFormats

INVALID_MAX_ITERATIONS - org.apache.commons.math.exception.util.LocalizedFormats

INVALID_REGRESSION_ARRAY - org.apache.commons.math.exception.util.LocalizedFormats

INVALID_ROUNDING_METHOD - org.apache.commons.math.exception.util.LocalizedFormats

InvalidMatrixException - Exception in org.apache.commons.math.linear

Thrown when a system attempts an operation on a matrix, and that matrix does not satisfy the preconditions for the aforementioned operation.

InvalidMatrixException(String, Object...) - Constructor for exception org.apache.commons.math.linear.InvalidMatrixException

Deprecated.

since 2.2 replaced by InvalidMatrixException(Localizable, Object...)

InvalidMatrixException(Throwable) - Constructor for exception org.apache.commons.math.linear.InvalidMatrixException

Construct an exception with the given message.

InvalidMatrixException(Localizable, Object...) - Constructor for exception org.apache.commons.math.linear.InvalidMatrixException

Construct an exception with the given message.

InvalidRepresentationException - Exception in org.apache.commons.math.genetics

Exception indicating that the representation of a chromosome is not valid.

InvalidRepresentationException() - Constructor for exception org.apache.commons.math.genetics.InvalidRepresentationException

Constructor

InvalidRepresentationException(String) - Constructor for exception org.apache.commons.math.genetics.InvalidRepresentationException

Construct an InvalidRepresentationException

InvalidRepresentationException(String, Throwable) - Constructor for exception org.apache.commons.math.genetics.InvalidRepresentationException

Construct an InvalidRepresentationException

InvalidRepresentationException(Throwable) - Constructor for exception org.apache.commons.math.genetics.InvalidRepresentationException

Construct an InvalidRepresentationException

inverse() - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Deprecated.

inverse() - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the inverse of this matrix.

inverse() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the inverse matrix if this matrix is invertible.

inverse() - Method in interface org.apache.commons.math.linear.RealMatrix

Deprecated.

as of release 2.0, replaced by new LUDecompositionImpl(m).getSolver().getInverse()

inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution

For this distribution, X, this method returns the critical point x, such that P(X < x) = p.

inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution

For a random variable X whose values are distributed according to this distribution, this method returns the largest x, such that P(X ≤ x) ≤ p.

inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

For this distribution, X, this method returns the critical point x, such that P(X < x) = p.

inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl

For this distribution, X, this method returns the largest x, such that P(X ≤ x) ≤ p.

inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl

For this distribution, X, this method returns the critical point x, such that P(X < x) = p.

inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

For this distribution, X, this method returns the critical point x, such that P(X < x) = p.

inverseCumulativeProbability(double) - Method in interface org.apache.commons.math.distribution.ContinuousDistribution

For this distribution, X, this method returns x such that P(X < x) = p.

inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl

For this distribution, X, this method returns the critical point x, such that P(X < x) = p.

inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl

For this distribution, X, this method returns the critical point x, such that P(X < x) = p.

inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

For this distribution, X, this method returns the critical point x, such that P(X < x) = p.

inverseCumulativeProbability(double) - Method in interface org.apache.commons.math.distribution.IntegerDistribution

For this distribution, X, this method returns the largest x such that P(X ≤ x) <= p.

inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

For this distribution, X, this method returns the critical point x, such that P(X < x) = p.

inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl

For this distribution, X, this method returns the largest x, such that P(X ≤ x) ≤ p.

inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl

For this distribution, X, this method returns the critical point x, such that P(X < x) = p.

inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

For this distribution, X, this method returns the critical point x, such that P(X < x) = p.

inversetransform(double[]) - Method in class org.apache.commons.math.transform.FastCosineTransformer

Inversely transform the given real data set.

inversetransform(double[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer

Inversely transform the given real data set.

inversetransform(double[]) - Method in class org.apache.commons.math.transform.FastHadamardTransformer

Inversely transform the given real data set.

inversetransform(double[]) - Method in class org.apache.commons.math.transform.FastSineTransformer

Inversely transform the given real data set.

inversetransform(double[]) - Method in interface org.apache.commons.math.transform.RealTransformer

Inversely transform the given real data set.

inversetransform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastCosineTransformer

Inversely transform the given real function, sampled on the given interval.

inversetransform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastFourierTransformer

Inversely transform the given real function, sampled on the given interval.

inversetransform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastHadamardTransformer

Inversely transform the given real function, sampled on the given interval.

inversetransform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastSineTransformer

Inversely transform the given real function, sampled on the given interval.

inversetransform(UnivariateRealFunction, double, double, int) - Method in interface org.apache.commons.math.transform.RealTransformer

Inversely transform the given real function, sampled on the given interval.

inversetransform(Complex[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer

Inversely transform the given complex data set.

inversetransform2(double[]) - Method in class org.apache.commons.math.transform.FastCosineTransformer

Inversely transform the given real data set.

inversetransform2(double[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer

Inversely transform the given real data set.

inversetransform2(double[]) - Method in class org.apache.commons.math.transform.FastSineTransformer

Inversely transform the given real data set.

inversetransform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastCosineTransformer

Inversely transform the given real function, sampled on the given interval.

inversetransform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastFourierTransformer

Inversely transform the given real function, sampled on the given interval.

inversetransform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastSineTransformer

Inversely transform the given real function, sampled on the given interval.

inversetransform2(Complex[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer

Inversely transform the given complex data set.

INVERT - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The invert operator wrapped as a ComposableFunction.

iRm1 - Variable in class org.apache.commons.math.random.AbstractWell

Index indirection table giving for each index its predecessor taking table size into account.

iRm2 - Variable in class org.apache.commons.math.random.AbstractWell

Index indirection table giving for each index its second predecessor taking table size into account.

isBiasCorrected() - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance

Returns true iff biasCorrected property is set to true.

isBiasCorrected() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

isBiasCorrected() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance

isBound() - Method in class org.apache.commons.math.estimation.EstimatedParameter

Deprecated.

Check if the parameter is bound

isBracketing(double, double, UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Returns true iff the function takes opposite signs at the endpoints.

isDefaultValue(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Determine if this value is within epsilon of zero.

isEmpty() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager

Deprecated.

Check if the manager does not manage any event handlers.

isForward() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians

Deprecated.

Check if the natural integration direction is forward.

isForward() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Check if the natural integration direction is forward.

isForward() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator

Check if the natural integration direction is forward.

isIgnored() - Method in class org.apache.commons.math.estimation.WeightedMeasurement

Deprecated.

Check if this measurement should be ignored

isInfinite() - Method in class org.apache.commons.math.complex.Complex

Returns true if either the real or imaginary part of this complex number takes an infinite value (either Double.POSITIVE_INFINITY or Double.NEGATIVE_INFINITY) and neither part is NaN.

isInfinite() - Method in class org.apache.commons.math.dfp.Dfp

Check if instance is infinite.

isInfinite() - Method in class org.apache.commons.math.geometry.Vector3D

Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise

isInfinite() - Method in class org.apache.commons.math.linear.ArrayRealVector

Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise

isInfinite() - Method in class org.apache.commons.math.linear.OpenMapRealVector

Check whether any coordinate of this vector is infinite and none are NaN.

isInfinite() - Method in interface org.apache.commons.math.linear.RealVector

Check whether any coordinate of this vector is infinite and none are NaN.

isLastStep - Variable in class org.apache.commons.math.ode.AbstractIntegrator

Indicator for last step.

isLoaded() - Method in interface org.apache.commons.math.random.EmpiricalDistribution

Property indicating whether or not the distribution has been loaded.

isLoaded() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl

Property indicating whether or not the distribution has been loaded.

isNaN() - Method in class org.apache.commons.math.complex.Complex

Returns true if either or both parts of this complex number is NaN; false otherwise

isNaN() - Method in class org.apache.commons.math.dfp.Dfp

Check if instance is not a number.

isNaN() - Method in class org.apache.commons.math.geometry.Vector3D

Returns true if any coordinate of this vector is NaN; false otherwise

isNaN() - Method in class org.apache.commons.math.linear.ArrayRealVector

Returns true if any coordinate of this vector is NaN; false otherwise

isNaN() - Method in class org.apache.commons.math.linear.OpenMapRealVector

Check whether any coordinate of this vector is NaN.

isNaN() - Method in interface org.apache.commons.math.linear.RealVector

Check whether any coordinate of this vector is NaN.

isNoIntercept() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

isNonSingular() - Method in interface org.apache.commons.math.linear.DecompositionSolver

Check if the decomposed matrix is non-singular.

isNonSingular() - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver

Check if the decomposed matrix is non-singular.

isPowerOf2(long) - Static method in class org.apache.commons.math.transform.FastFourierTransformer

Returns true if the argument is power of 2.

isRootOK(double, double, Complex) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver

Returns true iff the given complex root is actually a real zero in the given interval, within the solver tolerance level.

isSame(Chromosome) - Method in class org.apache.commons.math.genetics.BinaryChromosome

Returns true iff another has the same representation and therefore the same fitness.

isSame(Chromosome) - Method in class org.apache.commons.math.genetics.Chromosome

Returns true iff another has the same representation and therefore the same fitness.

isSame(Chromosome) - Method in class org.apache.commons.math.genetics.RandomKey

Returns true iff another is a RandomKey and encodes the same permutation.

isSatisfied(Population) - Method in class org.apache.commons.math.genetics.FixedGenerationCount

Determine whether or not the given number of generations have passed.

isSatisfied(Population) - Method in interface org.apache.commons.math.genetics.StoppingCondition

Determine whether or not the given population satisfies the stopping condition.

isSequence(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Returns true if the arguments form a (strictly) increasing sequence

isSingular() - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Deprecated.

isSingular() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Is this a singular matrix?

isSingular() - Method in interface org.apache.commons.math.linear.RealMatrix

Deprecated.

as of release 2.0, replaced by the boolean negation of new LUDecompositionImpl(m).getSolver().isNonSingular()

isSquare() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Is this a square matrix?

isSquare() - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Is this a square matrix?

isSquare() - Method in interface org.apache.commons.math.linear.AnyMatrix

Is this a square matrix?

isSquare() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Is this a square matrix?

isSupportLowerBoundInclusive() - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution

Use this method to get information about whether the lower bound of the support is inclusive or not.

isSupportUpperBoundInclusive() - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution

Use this method to get information about whether the upper bound of the support is inclusive or not.

iterateSimplex(Comparator<RealPointValuePair>) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Compute the next simplex of the algorithm.

iterateSimplex(Comparator<RealPointValuePair>) - Method in class org.apache.commons.math.optimization.direct.MultiDirectional

Compute the next simplex of the algorithm.

iterateSimplex(Comparator<RealPointValuePair>) - Method in class org.apache.commons.math.optimization.direct.NelderMead

Compute the next simplex of the algorithm.

iterationCount - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

The last iteration count.

iterator() - Method in class org.apache.commons.math.genetics.ListPopulation

Chromosome list iterator

iterator() - Method in class org.apache.commons.math.linear.AbstractRealVector

Generic dense iterator.

iterator() - Method in interface org.apache.commons.math.linear.RealVector

Generic dense iterator.

iterator() - Method in class org.apache.commons.math.util.MultidimensionalCounter

Create an iterator over this counter.

iterator() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap

Get an iterator over map elements.

iterator() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap

Get an iterator over map elements.

ITERATOR_EXHAUSTED - org.apache.commons.math.exception.util.LocalizedFormats

J

jacobian - Variable in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Jacobian matrix.

jacobian - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Jacobian matrix.

jacobian() - Method in interface org.apache.commons.math.analysis.DifferentiableMultivariateVectorialFunction

Returns the jacobian function.

JDKRandomGenerator - Class in org.apache.commons.math.random

Extension of java.util.Random to implement RandomGenerator.

JDKRandomGenerator() - Constructor for class org.apache.commons.math.random.JDKRandomGenerator

K

key() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator

Get the key of current entry.

key() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator

Get the key of current entry.

KMeansPlusPlusClusterer<T extends Clusterable<T>> - Class in org.apache.commons.math.stat.clustering

Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.

KMeansPlusPlusClusterer(Random) - Constructor for class org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer

Build a clusterer.

KMeansPlusPlusClusterer(Random, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer

Build a clusterer.

KMeansPlusPlusClusterer.EmptyClusterStrategy - Enum in org.apache.commons.math.stat.clustering

Strategies to use for replacing an empty cluster.

Kurtosis - Class in org.apache.commons.math.stat.descriptive.moment

Computes the Kurtosis of the available values.

Kurtosis() - Constructor for class org.apache.commons.math.stat.descriptive.moment.Kurtosis

Construct a Kurtosis

Kurtosis(FourthMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Kurtosis

Construct a Kurtosis from an external moment

Kurtosis(Kurtosis) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Kurtosis

Copy constructor, creates a new Kurtosis identical to the original

L

LaguerreSolver - Class in org.apache.commons.math.analysis.solvers

Implements the Laguerre's Method for root finding of real coefficient polynomials.

LaguerreSolver() - Constructor for class org.apache.commons.math.analysis.solvers.LaguerreSolver

Deprecated.

in 2.2 (to be removed in 3.0)

LaguerreSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.LaguerreSolver

Deprecated.

as of 2.0 the function to solve is passed as an argument to the LaguerreSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.

LARGEST_POINTS_NUMBER - org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy

Split the cluster with largest number of points.

LARGEST_VARIANCE - org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy

Split the cluster with largest distance variance.

lcm(int, int) - Static method in class org.apache.commons.math.util.MathUtils

Returns the least common multiple of the absolute value of two numbers, using the formula lcm(a,b) = (a / gcd(a,b)) * b.

lcm(long, long) - Static method in class org.apache.commons.math.util.MathUtils

Returns the least common multiple of the absolute value of two numbers, using the formula lcm(a,b) = (a / gcd(a,b)) * b.

LCM_OVERFLOW_32_BITS - org.apache.commons.math.exception.util.LocalizedFormats

LCM_OVERFLOW_64_BITS - org.apache.commons.math.exception.util.LocalizedFormats

LeastSquaresConverter - Class in org.apache.commons.math.optimization

This class converts vectorial objective functions to scalar objective functions when the goal is to minimize them.

LeastSquaresConverter(MultivariateVectorialFunction, double[]) - Constructor for class org.apache.commons.math.optimization.LeastSquaresConverter

Build a simple converter for uncorrelated residuals with the same weight.

LeastSquaresConverter(MultivariateVectorialFunction, double[], double[]) - Constructor for class org.apache.commons.math.optimization.LeastSquaresConverter

Build a simple converter for uncorrelated residuals with the specific weights.

LeastSquaresConverter(MultivariateVectorialFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math.optimization.LeastSquaresConverter

Build a simple converter for correlated residuals with the specific weights.

LegendreGaussIntegrator - Class in org.apache.commons.math.analysis.integration

Implements the Legendre-Gauss quadrature formula.

LegendreGaussIntegrator(int, int) - Constructor for class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator

Build a Legendre-Gauss integrator.

LENGTH - org.apache.commons.math.exception.util.LocalizedFormats

LEQ - org.apache.commons.math.optimization.linear.Relationship

Lesser than or equal relationship.

lessThan(Dfp) - Method in class org.apache.commons.math.dfp.Dfp

Check if instance is less than x.

LevenbergMarquardtEstimator - Class in org.apache.commons.math.estimation

Deprecated.

as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general

LevenbergMarquardtEstimator() - Constructor for class org.apache.commons.math.estimation.LevenbergMarquardtEstimator

Deprecated.

Build an estimator for least squares problems.

LevenbergMarquardtOptimizer - Class in org.apache.commons.math.optimization.general

This class solves a least squares problem using the Levenberg-Marquardt algorithm.

LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer

Build an optimizer for least squares problems.

LinearConstraint - Class in org.apache.commons.math.optimization.linear

A linear constraint for a linear optimization problem.

LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math.optimization.linear.LinearConstraint

Build a constraint involving two linear equations.

LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math.optimization.linear.LinearConstraint

Build a constraint involving a single linear equation.

LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math.optimization.linear.LinearConstraint

Build a constraint involving two linear equations.

LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math.optimization.linear.LinearConstraint

Build a constraint involving a single linear equation.

linearConstraints - Variable in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer

Linear constraints.

LinearInterpolator - Class in org.apache.commons.math.analysis.interpolation

Implements a linear function for interpolation of real univariate functions.

LinearInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.LinearInterpolator

LinearObjectiveFunction - Class in org.apache.commons.math.optimization.linear

An objective function for a linear optimization problem.

LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math.optimization.linear.LinearObjectiveFunction

LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math.optimization.linear.LinearObjectiveFunction

LinearOptimizer - Interface in org.apache.commons.math.optimization.linear

This interface represents an optimization algorithm for linear problems.

LIST_OF_CHROMOSOMES_BIGGER_THAN_POPULATION_SIZE - org.apache.commons.math.exception.util.LocalizedFormats

ListPopulation - Class in org.apache.commons.math.genetics

Population of chromosomes represented by a List.

ListPopulation(int) - Constructor for class org.apache.commons.math.genetics.ListPopulation

Creates a new ListPopulation instance and initializes its inner chromosome list.

ListPopulation(List<Chromosome>, int) - Constructor for class org.apache.commons.math.genetics.ListPopulation

Creates a new ListPopulation instance.

load(double[]) - Method in interface org.apache.commons.math.random.EmpiricalDistribution

Computes the empirical distribution from the provided array of numbers.

load(double[]) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl

Computes the empirical distribution from the provided array of numbers.

load(File) - Method in interface org.apache.commons.math.random.EmpiricalDistribution

Computes the empirical distribution from the input file.

load(File) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl

Computes the empirical distribution from the input file.

load(URL) - Method in interface org.apache.commons.math.random.EmpiricalDistribution

Computes the empirical distribution using data read from a URL.

load(URL) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl

Computes the empirical distribution using data read from a URL.

Localizable - Interface in org.apache.commons.math.exception.util

Interface for localizable strings.

LocalizedFormats - Enum in org.apache.commons.math.exception.util

Enumeration for localized messages formats used in exceptions messages.

LOESS_EXPECTS_AT_LEAST_ONE_POINT - org.apache.commons.math.exception.util.LocalizedFormats

LoessInterpolator - Class in org.apache.commons.math.analysis.interpolation

Implements the Local Regression Algorithm (also Loess, Lowess) for interpolation of real univariate functions.

LoessInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.LoessInterpolator

Constructs a new LoessInterpolator with a bandwidth of LoessInterpolator.DEFAULT_BANDWIDTH, LoessInterpolator.DEFAULT_ROBUSTNESS_ITERS robustness iterations and an accuracy of {#link #DEFAULT_ACCURACY}.

LoessInterpolator(double, int) - Constructor for class org.apache.commons.math.analysis.interpolation.LoessInterpolator

Constructs a new LoessInterpolator with given bandwidth and number of robustness iterations.

LoessInterpolator(double, int, double) - Constructor for class org.apache.commons.math.analysis.interpolation.LoessInterpolator

Constructs a new LoessInterpolator with given bandwidth, number of robustness iterations and accuracy.

log() - Method in class org.apache.commons.math.complex.Complex

Compute the natural logarithm of this complex number.

log(double) - Static method in class org.apache.commons.math.util.FastMath

Natural logarithm.

log(double, double) - Static method in class org.apache.commons.math.util.MathUtils

Returns the logarithm for base b of x.

log(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath

Returns the natural logarithm of a.

LOG - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.log method wrapped as a ComposableFunction.

log10() - Method in class org.apache.commons.math.dfp.Dfp

Get the exponent of the greatest power of 10 that is less than or equal to abs(this).

log10(double) - Static method in class org.apache.commons.math.util.FastMath

Compute the base 10 logarithm.

LOG10 - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.log10 method wrapped as a ComposableFunction.

log10K() - Method in class org.apache.commons.math.dfp.Dfp

Get the exponent of the greatest power of 10000 that is less than or equal to the absolute value of this.

log1p(double) - Static method in class org.apache.commons.math.util.FastMath

Compute log(1 + x).

LOG1P - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.log1p method wrapped as a ComposableFunction.

logBeta(double, double) - Static method in class org.apache.commons.math.special.Beta

Returns the natural logarithm of the beta function B(a, b).

logBeta(double, double, double, int) - Static method in class org.apache.commons.math.special.Beta

Returns the natural logarithm of the beta function B(a, b).

logGamma(double) - Static method in class org.apache.commons.math.special.Gamma

Returns the natural logarithm of the gamma function Γ(x).

logInternal(Dfp[]) - Static method in class org.apache.commons.math.dfp.DfpMath

Computes the natural log of a number between 0 and 2.

longValue() - Method in class org.apache.commons.math.fraction.BigFraction

Gets the fraction as a long.

longValue() - Method in class org.apache.commons.math.fraction.Fraction

Gets the fraction as a long.

LOWER_BOUND_NOT_BELOW_UPPER_BOUND - org.apache.commons.math.exception.util.LocalizedFormats

LOWER_ENDPOINT_ABOVE_UPPER_ENDPOINT - org.apache.commons.math.exception.util.LocalizedFormats

lu - Variable in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Entries of cached LU decomposition.

luDecompose() - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Deprecated.

as of release 2.0, replaced by LUDecomposition

luDecompose() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Computes a new LU decompostion for this matrix, storing the result for use by other methods.

LUDecomposition - Interface in org.apache.commons.math.linear

An interface to classes that implement an algorithm to calculate the LU-decomposition of a real matrix.

LUDecompositionImpl - Class in org.apache.commons.math.linear

Calculates the LUP-decomposition of a square matrix.

LUDecompositionImpl(RealMatrix) - Constructor for class org.apache.commons.math.linear.LUDecompositionImpl

Calculates the LU-decomposition of the given matrix.

LUDecompositionImpl(RealMatrix, double) - Constructor for class org.apache.commons.math.linear.LUDecompositionImpl

Calculates the LU-decomposition of the given matrix.

M

m1 - Variable in class org.apache.commons.math.stat.descriptive.moment.FirstMoment

First moment of values that have been added

m2 - Variable in class org.apache.commons.math.stat.descriptive.moment.SecondMoment

second moment of values that have been added

m3 - Variable in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment

third moment of values that have been added

m4 - Variable in class org.apache.commons.math.stat.descriptive.moment.FourthMoment

fourth moment of values that have been added

mainSetDimension - Variable in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Main set dimension.

mant - Variable in class org.apache.commons.math.dfp.Dfp

Mantissa.

map(UnivariateRealFunction) - Method in class org.apache.commons.math.linear.AbstractRealVector

Acts as if implemented as:

map(UnivariateRealFunction) - Method in interface org.apache.commons.math.linear.RealVector

Acts as if implemented as:

MAP_MODIFIED_WHILE_ITERATING - org.apache.commons.math.exception.util.LocalizedFormats

mapAbs() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.abs(double) function to each entry.

mapAbs() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapAbsToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.abs(double) function to each entry.

mapAbsToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.abs(double) function to each entry.

mapAbsToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapAcos() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.acos(double) function to each entry.

mapAcos() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapAcosToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.acos(double) function to each entry.

mapAcosToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.acos(double) function to each entry.

mapAcosToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapAdd(double) - Method in class org.apache.commons.math.linear.AbstractRealVector

Add a value to each entry.

mapAdd(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Add a value to each entry.

mapAdd(double) - Method in interface org.apache.commons.math.linear.RealVector

Add a value to each entry.

mapAdd(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Map an addition operation to each entry.

mapAdd(T) - Method in interface org.apache.commons.math.linear.FieldVector

Map an addition operation to each entry.

mapAdd(T) - Method in class org.apache.commons.math.linear.SparseFieldVector

Map an addition operation to each entry.

mapAddToSelf(double) - Method in class org.apache.commons.math.linear.AbstractRealVector

Add a value to each entry.

mapAddToSelf(double) - Method in class org.apache.commons.math.linear.ArrayRealVector

Add a value to each entry.

mapAddToSelf(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Add a value to each entry.

mapAddToSelf(double) - Method in interface org.apache.commons.math.linear.RealVector

Add a value to each entry.

mapAddToSelf(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Map an addition operation to each entry.

mapAddToSelf(T) - Method in interface org.apache.commons.math.linear.FieldVector

Map an addition operation to each entry.

mapAddToSelf(T) - Method in class org.apache.commons.math.linear.SparseFieldVector

Map an addition operation to each entry.

mapAsin() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.asin(double) function to each entry.

mapAsin() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapAsinToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.asin(double) function to each entry.

mapAsinToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.asin(double) function to each entry.

mapAsinToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapAtan() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.atan(double) function to each entry.

mapAtan() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapAtanToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.atan(double) function to each entry.

mapAtanToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.atan(double) function to each entry.

mapAtanToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapCbrt() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.cbrt(double) function to each entry.

mapCbrt() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapCbrtToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.cbrt(double) function to each entry.

mapCbrtToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.cbrt(double) function to each entry.

mapCbrtToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapCeil() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.ceil(double) function to each entry.

mapCeil() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapCeilToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.ceil(double) function to each entry.

mapCeilToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.ceil(double) function to each entry.

mapCeilToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapCos() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.cos(double) function to each entry.

mapCos() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapCosh() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.cosh(double) function to each entry.

mapCosh() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapCoshToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.cosh(double) function to each entry.

mapCoshToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.cosh(double) function to each entry.

mapCoshToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapCosToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.cos(double) function to each entry.

mapCosToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.cos(double) function to each entry.

mapCosToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapDivide(double) - Method in class org.apache.commons.math.linear.AbstractRealVector

Divide each entry.

mapDivide(double) - Method in interface org.apache.commons.math.linear.RealVector

Divide each entry.

mapDivide(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Map a division operation to each entry.

mapDivide(T) - Method in interface org.apache.commons.math.linear.FieldVector

Map a division operation to each entry.

mapDivide(T) - Method in class org.apache.commons.math.linear.SparseFieldVector

Map a division operation to each entry.

mapDivideToSelf(double) - Method in class org.apache.commons.math.linear.AbstractRealVector

Divide each entry.

mapDivideToSelf(double) - Method in class org.apache.commons.math.linear.ArrayRealVector

Divide each entry.

mapDivideToSelf(double) - Method in interface org.apache.commons.math.linear.RealVector

Divide each entry.

mapDivideToSelf(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Map a division operation to each entry.

mapDivideToSelf(T) - Method in interface org.apache.commons.math.linear.FieldVector

Map a division operation to each entry.

mapDivideToSelf(T) - Method in class org.apache.commons.math.linear.SparseFieldVector

Map a division operation to each entry.

mapExp() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.exp(double) function to each entry.

mapExp() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapExpm1() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.expm1(double) function to each entry.

mapExpm1() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapExpm1ToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.expm1(double) function to each entry.

mapExpm1ToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.expm1(double) function to each entry.

mapExpm1ToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapExpToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map Math.exp(double) operation to each entry.

mapExpToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map Math.exp(double) operation to each entry.

mapExpToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapFloor() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.floor(double) function to each entry.

mapFloor() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapFloorToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.floor(double) function to each entry.

mapFloorToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.floor(double) function to each entry.

mapFloorToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapInv() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the 1/x function to each entry.

mapInv() - Method in class org.apache.commons.math.linear.ArrayFieldVector

Map the 1/x function to each entry.

mapInv() - Method in interface org.apache.commons.math.linear.FieldVector

Map the 1/x function to each entry.

mapInv() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapInv() - Method in class org.apache.commons.math.linear.SparseFieldVector

Map the 1/x function to each entry.

mapInvToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the 1/x function to each entry.

mapInvToSelf() - Method in class org.apache.commons.math.linear.ArrayFieldVector

Map the 1/x function to each entry.

mapInvToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the 1/x function to each entry.

mapInvToSelf() - Method in interface org.apache.commons.math.linear.FieldVector

Map the 1/x function to each entry.

mapInvToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapInvToSelf() - Method in class org.apache.commons.math.linear.SparseFieldVector

Map the 1/x function to each entry.

mapLog() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.log(double) function to each entry.

mapLog() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapLog10() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.log10(double) function to each entry.

mapLog10() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapLog10ToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.log10(double) function to each entry.

mapLog10ToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.log10(double) function to each entry.

mapLog10ToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapLog1p() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.log1p(double) function to each entry.

mapLog1p() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapLog1pToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.log1p(double) function to each entry.

mapLog1pToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.log1p(double) function to each entry.

mapLog1pToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapLogToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.log(double) function to each entry.

mapLogToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.log(double) function to each entry.

mapLogToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapMultiply(double) - Method in class org.apache.commons.math.linear.AbstractRealVector

Multiply each entry.

mapMultiply(double) - Method in interface org.apache.commons.math.linear.RealVector

Multiply each entry.

mapMultiply(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Map a multiplication operation to each entry.

mapMultiply(T) - Method in interface org.apache.commons.math.linear.FieldVector

Map a multiplication operation to each entry.

mapMultiply(T) - Method in class org.apache.commons.math.linear.SparseFieldVector

Map a multiplication operation to each entry.

mapMultiplyToSelf(double) - Method in class org.apache.commons.math.linear.AbstractRealVector

Multiply each entry.

mapMultiplyToSelf(double) - Method in class org.apache.commons.math.linear.ArrayRealVector

Multiply each entry.

mapMultiplyToSelf(double) - Method in interface org.apache.commons.math.linear.RealVector

Multiply each entry.

mapMultiplyToSelf(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Map a multiplication operation to each entry.

mapMultiplyToSelf(T) - Method in interface org.apache.commons.math.linear.FieldVector

Map a multiplication operation to each entry.

mapMultiplyToSelf(T) - Method in class org.apache.commons.math.linear.SparseFieldVector

Map a multiplication operation to each entry.

mapPow(double) - Method in class org.apache.commons.math.linear.AbstractRealVector

Map a power operation to each entry.

mapPow(double) - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapPowToSelf(double) - Method in class org.apache.commons.math.linear.AbstractRealVector

Map a power operation to each entry.

mapPowToSelf(double) - Method in class org.apache.commons.math.linear.ArrayRealVector

Map a power operation to each entry.

mapPowToSelf(double) - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapRint() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.rint(double) function to each entry.

mapRint() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapRintToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.rint(double) function to each entry.

mapRintToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.rint(double) function to each entry.

mapRintToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapSignum() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.signum(double) function to each entry.

mapSignum() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapSignumToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.signum(double) function to each entry.

mapSignumToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.signum(double) function to each entry.

mapSignumToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapSin() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.sin(double) function to each entry.

mapSin() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapSinh() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.sinh(double) function to each entry.

mapSinh() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapSinhToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.sinh(double) function to each entry.

mapSinhToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.sinh(double) function to each entry.

mapSinhToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapSinToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.sin(double) function to each entry.

mapSinToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.sin(double) function to each entry.

mapSinToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapSqrt() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.sqrt(double) function to each entry.

mapSqrt() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapSqrtToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.sqrt(double) function to each entry.

mapSqrtToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.sqrt(double) function to each entry.

mapSqrtToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapSubtract(double) - Method in class org.apache.commons.math.linear.AbstractRealVector

Subtract a value from each entry.

mapSubtract(double) - Method in interface org.apache.commons.math.linear.RealVector

Subtract a value from each entry.

mapSubtract(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Map a subtraction operation to each entry.

mapSubtract(T) - Method in interface org.apache.commons.math.linear.FieldVector

Map a subtraction operation to each entry.

mapSubtract(T) - Method in class org.apache.commons.math.linear.SparseFieldVector

Map a subtraction operation to each entry.

mapSubtractToSelf(double) - Method in class org.apache.commons.math.linear.AbstractRealVector

Subtract a value from each entry.

mapSubtractToSelf(double) - Method in class org.apache.commons.math.linear.ArrayRealVector

Subtract a value from each entry.

mapSubtractToSelf(double) - Method in interface org.apache.commons.math.linear.RealVector

Subtract a value from each entry.

mapSubtractToSelf(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Map a subtraction operation to each entry.

mapSubtractToSelf(T) - Method in interface org.apache.commons.math.linear.FieldVector

Map a subtraction operation to each entry.

mapSubtractToSelf(T) - Method in class org.apache.commons.math.linear.SparseFieldVector

Map a subtraction operation to each entry.

mapTan() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.tan(double) function to each entry.

mapTan() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapTanh() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.tanh(double) function to each entry.

mapTanh() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapTanhToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.tanh(double) function to each entry.

mapTanhToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.tanh(double) function to each entry.

mapTanhToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapTanToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.tan(double) function to each entry.

mapTanToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.tan(double) function to each entry.

mapTanToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapToSelf(UnivariateRealFunction) - Method in class org.apache.commons.math.linear.AbstractRealVector

Acts as if it is implemented as:

mapToSelf(UnivariateRealFunction) - Method in interface org.apache.commons.math.linear.RealVector

Acts as if it is implemented as:

mapUlp() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.ulp(double) function to each entry.

mapUlp() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

mapUlpToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector

Map the Math.ulp(double) function to each entry.

mapUlpToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector

Map the Math.ulp(double) function to each entry.

mapUlpToSelf() - Method in interface org.apache.commons.math.linear.RealVector

Deprecated.

in 2.2 (to be removed in 3.0).

MathConfigurationException - Exception in org.apache.commons.math

Signals a configuration problem with any of the factory methods.

MathConfigurationException() - Constructor for exception org.apache.commons.math.MathConfigurationException

Default constructor.

MathConfigurationException(String, Object...) - Constructor for exception org.apache.commons.math.MathConfigurationException

Constructs an exception with specified formatted detail message.

MathConfigurationException(Throwable) - Constructor for exception org.apache.commons.math.MathConfigurationException

Create an exception with a given root cause.

MathConfigurationException(Throwable, String, Object...) - Constructor for exception org.apache.commons.math.MathConfigurationException

Constructs an exception with specified formatted detail message and root cause.

MathConfigurationException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math.MathConfigurationException

Constructs an exception with specified formatted detail message and root cause.

MathConfigurationException(Localizable, Object...) - Constructor for exception org.apache.commons.math.MathConfigurationException

Constructs an exception with specified formatted detail message.

MathException - Exception in org.apache.commons.math

Base class for commons-math checked exceptions.

MathException() - Constructor for exception org.apache.commons.math.MathException

Constructs a new MathException with no detail message.

MathException(String, Object...) - Constructor for exception org.apache.commons.math.MathException

Deprecated.

as of 2.2 replaced by MathException(Localizable, Object...)

MathException(Throwable) - Constructor for exception org.apache.commons.math.MathException

Constructs a new MathException with specified nested Throwable root cause.

MathException(Throwable, String, Object...) - Constructor for exception org.apache.commons.math.MathException

Deprecated.

as of 2.2 replaced by MathException(Throwable, Localizable, Object...)

MathException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math.MathException

Constructs a new MathException with specified formatted detail message and nested Throwable root cause.

MathException(Localizable, Object...) - Constructor for exception org.apache.commons.math.MathException

Constructs a new MathException with specified formatted detail message.

MathIllegalArgumentException - Exception in org.apache.commons.math.exception

Base class for all preconditions violation exceptions.

MathIllegalArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math.exception.MathIllegalArgumentException

MathIllegalArgumentException(Localizable, Localizable, Object...) - Constructor for exception org.apache.commons.math.exception.MathIllegalArgumentException

MathIllegalNumberException - Exception in org.apache.commons.math.exception

Base class for exceptions raised by a wrong number.

MathIllegalNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math.exception.MathIllegalNumberException

Construct an exception.

MathIllegalNumberException(Localizable, Localizable, Number, Object...) - Constructor for exception org.apache.commons.math.exception.MathIllegalNumberException

Construct an exception.

MathIllegalStateException - Exception in org.apache.commons.math.exception

Base class for all exceptions that signal a mismatch between the current state and the user's expectations.

MathIllegalStateException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math.exception.MathIllegalStateException

Simple constructor.

MathIllegalStateException(Throwable, Localizable, Localizable, Object...) - Constructor for exception org.apache.commons.math.exception.MathIllegalStateException

Simple constructor.

MathIllegalStateException(Localizable, Object...) - Constructor for exception org.apache.commons.math.exception.MathIllegalStateException

MathIllegalStateException(Localizable, Localizable, Object...) - Constructor for exception org.apache.commons.math.exception.MathIllegalStateException

Simple constructor.

MathInternalError - Exception in org.apache.commons.math.exception

Exception triggered when something that shouldn't happen does happen.

MathInternalError() - Constructor for exception org.apache.commons.math.exception.MathInternalError

Simple constructor.

MathInternalError(Throwable) - Constructor for exception org.apache.commons.math.exception.MathInternalError

Simple constructor.

MathRuntimeException - Exception in org.apache.commons.math

Base class for commons-math unchecked exceptions.

MathRuntimeException(String, Object...) - Constructor for exception org.apache.commons.math.MathRuntimeException

Deprecated.

as of 2.2 replaced by MathRuntimeException(Localizable, Object...)

MathRuntimeException(Throwable) - Constructor for exception org.apache.commons.math.MathRuntimeException

Constructs a new MathRuntimeException with specified nested Throwable root cause.

MathRuntimeException(Throwable, String, Object...) - Constructor for exception org.apache.commons.math.MathRuntimeException

Deprecated.

as of 2.2 replaced by MathRuntimeException(Throwable, Localizable, Object...)

MathRuntimeException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math.MathRuntimeException

Constructs a new MathRuntimeException with specified formatted detail message and nested Throwable root cause.

MathRuntimeException(Localizable, Object...) - Constructor for exception org.apache.commons.math.MathRuntimeException

Constructs a new MathRuntimeException with specified formatted detail message.

MathThrowable - Interface in org.apache.commons.math.exception

Interface for commons-math throwables.

MathUnsupportedOperationException - Exception in org.apache.commons.math.exception

Base class for all unsupported features.

MathUnsupportedOperationException(Object...) - Constructor for exception org.apache.commons.math.exception.MathUnsupportedOperationException

MathUnsupportedOperationException(Localizable, Object...) - Constructor for exception org.apache.commons.math.exception.MathUnsupportedOperationException

MathUtils - Class in org.apache.commons.math.util

Some useful additions to the built-in functions in Math.

MathUtils.OrderDirection - Enum in org.apache.commons.math.util

Specification of ordering direction.

MatrixIndexException - Exception in org.apache.commons.math.linear

Thrown when an operation addresses a matrix coordinate (row, col) which is outside of the dimensions of a matrix.

MatrixIndexException(String, Object...) - Constructor for exception org.apache.commons.math.linear.MatrixIndexException

Deprecated.

as of 2.2 replaced by MatrixIndexException(Localizable, Object...)

MatrixIndexException(Localizable, Object...) - Constructor for exception org.apache.commons.math.linear.MatrixIndexException

Constructs a new instance with specified formatted detail message.

MatrixUtils - Class in org.apache.commons.math.linear

A collection of static methods that operate on or return matrices.

MatrixVisitorException - Exception in org.apache.commons.math.linear

Thrown when a visitor encounters an error while processing a matrix entry.

MatrixVisitorException(String, Object[]) - Constructor for exception org.apache.commons.math.linear.MatrixVisitorException

Constructs a new instance with specified formatted detail message.

MatrixVisitorException(Localizable, Object[]) - Constructor for exception org.apache.commons.math.linear.MatrixVisitorException

Constructs a new instance with specified formatted detail message.

max - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics

max of values that have been added

max(double[]) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the maximum of the entries in the input array, or Double.NaN if the array is empty.

max(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

max(double, double) - Static method in class org.apache.commons.math.util.FastMath

Compute the maximum of two values

max(float, float) - Static method in class org.apache.commons.math.util.FastMath

Compute the maximum of two values

max(int, int) - Static method in class org.apache.commons.math.util.FastMath

Compute the maximum of two values

max(long, long) - Static method in class org.apache.commons.math.util.FastMath

Compute the maximum of two values

Max - Class in org.apache.commons.math.stat.descriptive.rank

Returns the maximum of the available values.

Max() - Constructor for class org.apache.commons.math.stat.descriptive.rank.Max

Create a Max instance

Max(Max) - Constructor for class org.apache.commons.math.stat.descriptive.rank.Max

Copy constructor, creates a new Max identical to the original

MAX_EVALUATIONS_EXCEEDED - org.apache.commons.math.exception.util.LocalizedFormats

MAX_EXP - Static variable in class org.apache.commons.math.dfp.Dfp

The maximum exponent before overflow is signaled and results flushed to infinity

MAX_ITERATIONS_EXCEEDED - org.apache.commons.math.exception.util.LocalizedFormats

MaxEvaluationsExceededException - Exception in org.apache.commons.math

Error thrown when a numerical computation exceeds its allowed number of functions evaluations.

MaxEvaluationsExceededException(int) - Constructor for exception org.apache.commons.math.MaxEvaluationsExceededException

Constructs an exception with a default detail message.

MaxEvaluationsExceededException(int, String, Object...) - Constructor for exception org.apache.commons.math.MaxEvaluationsExceededException

Deprecated.

as of 2.2 replaced by MaxEvaluationsExceededException(int, Localizable, Object...)

MaxEvaluationsExceededException(int, Localizable, Object...) - Constructor for exception org.apache.commons.math.MaxEvaluationsExceededException

Constructs an exception with specified formatted detail message.

MAXIMAL - org.apache.commons.math.stat.ranking.NaNStrategy

NaNs are considered maximal in the ordering

maximalIterationCount - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Maximum number of iterations.

MAXIMIZE - org.apache.commons.math.optimization.GoalType

Maximization goal.

MAXIMUM - org.apache.commons.math.stat.ranking.TiesStrategy

Ties get the maximum applicable rank

MaxIterationsExceededException - Exception in org.apache.commons.math

Error thrown when a numerical computation exceeds its allowed number of iterations.

MaxIterationsExceededException(int) - Constructor for exception org.apache.commons.math.MaxIterationsExceededException

Constructs an exception with a default detail message.

MaxIterationsExceededException(int, String, Object...) - Constructor for exception org.apache.commons.math.MaxIterationsExceededException

Deprecated.

as of 2.2 replaced by MaxIterationsExceededException(int, Localizable, Object...)

MaxIterationsExceededException(int, Localizable, Object...) - Constructor for exception org.apache.commons.math.MaxIterationsExceededException

Constructs an exception with specified formatted detail message.

mdfft(Object, boolean) - Method in class org.apache.commons.math.transform.FastFourierTransformer

Performs a multi-dimensional Fourier transform on a given array.

mean - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics

mean of values that have been added

mean(double[]) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the arithmetic mean of the entries in the input array, or Double.NaN if the array is empty.

mean(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

Mean - Class in org.apache.commons.math.stat.descriptive.moment

Computes the arithmetic mean of a set of values.

Mean() - Constructor for class org.apache.commons.math.stat.descriptive.moment.Mean

Constructs a Mean.

Mean(FirstMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Mean

Constructs a Mean with an External Moment.

Mean(Mean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Mean

Copy constructor, creates a new Mean identical to the original

MEAN - org.apache.commons.math.exception.util.LocalizedFormats

meanDifference(double[], double[]) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the mean of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]) / sample1.length.

measurements - Variable in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Array of measurements.

Median - Class in org.apache.commons.math.stat.descriptive.rank

Returns the median of the available values.

Median() - Constructor for class org.apache.commons.math.stat.descriptive.rank.Median

Default constructor.

Median(Median) - Constructor for class org.apache.commons.math.stat.descriptive.rank.Median

Copy constructor, creates a new Median identical to the original

MersenneTwister - Class in org.apache.commons.math.random

This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during 1996-1997.

MersenneTwister() - Constructor for class org.apache.commons.math.random.MersenneTwister

Creates a new random number generator.

MersenneTwister(int) - Constructor for class org.apache.commons.math.random.MersenneTwister

Creates a new random number generator using a single int seed.

MersenneTwister(int[]) - Constructor for class org.apache.commons.math.random.MersenneTwister

Creates a new random number generator using an int array seed.

MersenneTwister(long) - Constructor for class org.apache.commons.math.random.MersenneTwister

Creates a new random number generator using a single long seed.

MessageFactory - Class in org.apache.commons.math.exception.util

Class for constructing localized messages.

MicrosphereInterpolatingFunction - Class in org.apache.commons.math.analysis.interpolation

Interpolating function that implements the Microsphere Projection.

MicrosphereInterpolatingFunction(double[][], double[], int, int, UnitSphereRandomVectorGenerator) - Constructor for class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolatingFunction

MicrosphereInterpolator - Class in org.apache.commons.math.analysis.interpolation

Interpolator that implements the algorithm described in William Dudziak's MS thesis.

MicrosphereInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator

Create a microsphere interpolator with default settings.

MicrosphereInterpolator(int, int) - Constructor for class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator

Create a microsphere interpolator.

midpoint(double, double) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils

Compute the midpoint of two values.

MidpointIntegrator - Class in org.apache.commons.math.ode.nonstiff

This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.

MidpointIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.MidpointIntegrator

Simple constructor.

min - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics

min of values that have been added

min(double[]) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the minimum of the entries in the input array, or Double.NaN if the array is empty.

min(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

min(double, double) - Static method in class org.apache.commons.math.util.FastMath

Compute the minimum of two values

min(float, float) - Static method in class org.apache.commons.math.util.FastMath

Compute the minimum of two values

min(int, int) - Static method in class org.apache.commons.math.util.FastMath

Compute the minimum of two values

min(long, long) - Static method in class org.apache.commons.math.util.FastMath

Compute the minimum of two values

Min - Class in org.apache.commons.math.stat.descriptive.rank

Returns the minimum of the available values.

Min() - Constructor for class org.apache.commons.math.stat.descriptive.rank.Min

Create a Min instance

Min(Min) - Constructor for class org.apache.commons.math.stat.descriptive.rank.Min

Copy constructor, creates a new Min identical to the original

MIN_EXP - Static variable in class org.apache.commons.math.dfp.Dfp

The minimum exponent before underflow is signaled.

MINIMAL - org.apache.commons.math.stat.ranking.NaNStrategy

NaNs are considered minimal in the ordering

MINIMAL_STEPSIZE_REACHED_DURING_INTEGRATION - org.apache.commons.math.exception.util.LocalizedFormats

minimalIterationCount - Variable in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl

minimum number of iterations

MINIMIZE - org.apache.commons.math.optimization.GoalType

Minimization goal.

MINIMUM - org.apache.commons.math.stat.ranking.TiesStrategy

Ties get the minimum applicable rank

MINUS_I - Static variable in class org.apache.commons.math.geometry.Vector3D

Opposite of the first canonical vector (coordinates: -1, 0, 0).

MINUS_J - Static variable in class org.apache.commons.math.geometry.Vector3D

Opposite of the second canonical vector (coordinates: 0, -1, 0).

MINUS_K - Static variable in class org.apache.commons.math.geometry.Vector3D

Opposite of the third canonical vector (coordinates: 0, 0, -1).

MINUS_ONE - Static variable in class org.apache.commons.math.fraction.BigFraction

A fraction representing "-1 / 1".

MINUS_ONE - Static variable in class org.apache.commons.math.fraction.Fraction

A fraction representing "-1 / 1".

MISMATCHED_LOESS_ABSCISSA_ORDINATE_ARRAYS - org.apache.commons.math.exception.util.LocalizedFormats

moment - Variable in class org.apache.commons.math.stat.descriptive.moment.Kurtosis

Fourth Moment on which this statistic is based

moment - Variable in class org.apache.commons.math.stat.descriptive.moment.Mean

First moment on which this statistic is based.

moment - Variable in class org.apache.commons.math.stat.descriptive.moment.Skewness

Third moment on which this statistic is based

moment - Variable in class org.apache.commons.math.stat.descriptive.moment.Variance

SecondMoment is used in incremental calculation of Variance

mulAndCheck(int, int) - Static method in class org.apache.commons.math.util.MathUtils

Multiply two integers, checking for overflow.

mulAndCheck(long, long) - Static method in class org.apache.commons.math.util.MathUtils

Multiply two long integers, checking for overflow.

MullerSolver - Class in org.apache.commons.math.analysis.solvers

Implements the Muller's Method for root finding of real univariate functions.

MullerSolver() - Constructor for class org.apache.commons.math.analysis.solvers.MullerSolver

Deprecated.

in 2.2 (to be removed in 3.0).

MullerSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.MullerSolver

Deprecated.

as of 2.0 the function to solve is passed as an argument to the MullerSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.

MultidimensionalCounter - Class in org.apache.commons.math.util

Converter between unidimensional storage structure and multidimensional conceptual structure.

MultidimensionalCounter(int...) - Constructor for class org.apache.commons.math.util.MultidimensionalCounter

Create a counter.

MultidimensionalCounter.Iterator - Class in org.apache.commons.math.util

Perform iteration over the multidimensional counter.

MultiDirectional - Class in org.apache.commons.math.optimization.direct

This class implements the multi-directional direct search method.

MultiDirectional() - Constructor for class org.apache.commons.math.optimization.direct.MultiDirectional

Build a multi-directional optimizer with default coefficients.

MultiDirectional(double, double) - Constructor for class org.apache.commons.math.optimization.direct.MultiDirectional

Build a multi-directional optimizer with specified coefficients.

MultipleLinearRegression - Interface in org.apache.commons.math.stat.regression

The multiple linear regression can be represented in matrix-notation.

MULTIPLICATIVE_MODE - Static variable in class org.apache.commons.math.util.ResizableDoubleArray

multiplicative expansion mode

multiply(double) - Method in class org.apache.commons.math.analysis.ComposableFunction

Return a function scaling the instance by a constant factor.

multiply(double) - Method in class org.apache.commons.math.complex.Complex

Return the product of this complex number and the given scalar number.

multiply(int) - Method in class org.apache.commons.math.dfp.Dfp

Multiply this by a single digit 0<=x<radix.

multiply(int) - Method in class org.apache.commons.math.fraction.BigFraction

Multiply the value of this fraction by the passed int, returning the result in reduced form.

multiply(int) - Method in class org.apache.commons.math.fraction.Fraction

Multiply the fraction by an integer.

multiply(long) - Method in class org.apache.commons.math.fraction.BigFraction

Multiply the value of this fraction by the passed long, returning the result in reduced form.

multiply(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction

Multiplies the value of this fraction by the passed BigInteger, returning the result in reduced form.

multiply(PolynomialFunction) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction

Multiply the instance by a polynomial.

multiply(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction

Return a function multiplying the instance and another function.

multiply(Complex) - Method in class org.apache.commons.math.complex.Complex

Return the product of this complex number and the given complex number.

multiply(Dfp) - Method in class org.apache.commons.math.dfp.Dfp

Multiply this by x.

multiply(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction

Multiplies the value of this fraction by another, returning the result in reduced form.

multiply(Fraction) - Method in class org.apache.commons.math.fraction.Fraction

Multiplies the value of this fraction by another, returning the result in reduced form.

multiply(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Returns the result of postmultiplying this by m.

multiply(Array2DRowRealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Returns the result of postmultiplying this by m.

multiply(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the result of postmultiplying this by m.

multiply(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the result of postmultiplying this by m.

multiply(BigMatrixImpl) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the result of postmultiplying this by m.

multiply(BlockFieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the result of postmultiplying this by m.

multiply(BlockRealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the result of postmultiplying this by m.

multiply(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the result of postmultiplying this by m.

multiply(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Returns the result of postmultiplying this by m.

multiply(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the result of postmultiplying this by m.

multiply(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the result of postmultiplying this by m.

multiply(OpenMapRealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix

Returns the result of postmultiplying this by m.

multiply(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the result of postmultiplying this by m.

multiply(RealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Returns the result of postmultiplying this by m.

multiply(RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the result of postmultiplying this by m.

multiply(RealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix

Returns the result of postmultiplying this by m.

multiply(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the result of postmultiplying this by m.

multiply(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Returns the result of postmultiplying this by m.

multiply(RealMatrixImpl) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Returns the result of postmultiplying this by m.

multiply(BigReal) - Method in class org.apache.commons.math.util.BigReal

Compute this × a.

multiply(T) - Method in interface org.apache.commons.math.FieldElement

Compute this × a.

MULTIPLY - Static variable in class org.apache.commons.math.analysis.BinaryFunction

Deprecated.

The * operator method wrapped as a BinaryFunction.

multiplyEntry(int, int, double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Change an entry in the specified row and column.

multiplyEntry(int, int, double) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Change an entry in the specified row and column.

multiplyEntry(int, int, double) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Change an entry in the specified row and column.

multiplyEntry(int, int, double) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix

Change an entry in the specified row and column.

multiplyEntry(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrix

Change an entry in the specified row and column.

multiplyEntry(int, int, double) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Change an entry in the specified row and column.

multiplyEntry(int, int, T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Change an entry in the specified row and column.

multiplyEntry(int, int, T) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Change an entry in the specified row and column.

multiplyEntry(int, int, T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Change an entry in the specified row and column.

multiplyEntry(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrix

Change an entry in the specified row and column.

multiplyEntry(int, int, T) - Method in class org.apache.commons.math.linear.SparseFieldMatrix

Change an entry in the specified row and column.

MultiStartDifferentiableMultivariateRealOptimizer - Class in org.apache.commons.math.optimization

Special implementation of the DifferentiableMultivariateRealOptimizer interface adding multi-start features to an existing optimizer.

MultiStartDifferentiableMultivariateRealOptimizer(DifferentiableMultivariateRealOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer

Create a multi-start optimizer from a single-start optimizer

MultiStartDifferentiableMultivariateVectorialOptimizer - Class in org.apache.commons.math.optimization

Special implementation of the DifferentiableMultivariateVectorialOptimizer interface adding multi-start features to an existing optimizer.

MultiStartDifferentiableMultivariateVectorialOptimizer(DifferentiableMultivariateVectorialOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer

Create a multi-start optimizer from a single-start optimizer

MultiStartMultivariateRealOptimizer - Class in org.apache.commons.math.optimization

Special implementation of the MultivariateRealOptimizer interface adding multi-start features to an existing optimizer.

MultiStartMultivariateRealOptimizer(MultivariateRealOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer

Create a multi-start optimizer from a single-start optimizer

MultiStartUnivariateRealOptimizer - Class in org.apache.commons.math.optimization

Special implementation of the UnivariateRealOptimizer interface adding multi-start features to an existing optimizer.

MultiStartUnivariateRealOptimizer(UnivariateRealOptimizer, int, RandomGenerator) - Constructor for class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Create a multi-start optimizer from a single-start optimizer

MultistepIntegrator - Class in org.apache.commons.math.ode

This class is the base class for multistep integrators for Ordinary Differential Equations.

MultistepIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.MultistepIntegrator

Build a multistep integrator with the given stepsize bounds.

MultistepIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math.ode.MultistepIntegrator

Build a multistep integrator with the given stepsize bounds.

MultistepIntegrator.NordsieckTransformer - Interface in org.apache.commons.math.ode

Transformer used to convert the first step to Nordsieck representation.

MultivariateMatrixFunction - Interface in org.apache.commons.math.analysis

An interface representing a multivariate matrix function.

MultivariateRealFunction - Interface in org.apache.commons.math.analysis

An interface representing a multivariate real function.

MultivariateRealInterpolator - Interface in org.apache.commons.math.analysis.interpolation

Interface representing a univariate real interpolating function.

MultivariateRealOptimizer - Interface in org.apache.commons.math.optimization

This interface represents an optimization algorithm for scalar objective functions.

MultivariateSummaryStatistics - Class in org.apache.commons.math.stat.descriptive

Computes summary statistics for a stream of n-tuples added using the addValue method.

MultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Construct a MultivariateSummaryStatistics instance

MultivariateVectorialFunction - Interface in org.apache.commons.math.analysis

An interface representing a multivariate vectorial function.

mutate(Chromosome) - Method in class org.apache.commons.math.genetics.BinaryMutation

Mutate the given chromosome.

mutate(Chromosome) - Method in interface org.apache.commons.math.genetics.MutationPolicy

Mutate the given chromosome.

mutate(Chromosome) - Method in class org.apache.commons.math.genetics.RandomKeyMutation

Mutate the given chromosome.

MutationPolicy - Interface in org.apache.commons.math.genetics

Algorithm used to mutate a chrommosome.

N

n - Variable in class org.apache.commons.math.stat.descriptive.moment.FirstMoment

Count of values that have been added

n - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics

count of values that have been added

N_POINTS_GAUSS_LEGENDRE_INTEGRATOR_NOT_SUPPORTED - org.apache.commons.math.exception.util.LocalizedFormats

NaN - Static variable in class org.apache.commons.math.complex.Complex

A complex number representing "NaN + NaNi"

NaN - Static variable in class org.apache.commons.math.geometry.Vector3D

A vector with all coordinates set to NaN.

NAN_ELEMENT_AT_INDEX - org.apache.commons.math.exception.util.LocalizedFormats

NAN_VALUE_CONVERSION - org.apache.commons.math.exception.util.LocalizedFormats

nans - Variable in class org.apache.commons.math.dfp.Dfp

Indicator for non-finite / non-number values.

NaNStrategy - Enum in org.apache.commons.math.stat.ranking

Strategies for handling NaN values in rank transformations.

NaturalRanking - Class in org.apache.commons.math.stat.ranking

Ranking based on the natural ordering on doubles.

NaturalRanking() - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking

Create a NaturalRanking with default strategies for handling ties and NaNs.

NaturalRanking(RandomGenerator) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking

Create a NaturalRanking with TiesStrategy.RANDOM and the given RandomGenerator as the source of random data.

NaturalRanking(NaNStrategy) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking

Create a NaturalRanking with the given NaNStrategy.

NaturalRanking(NaNStrategy, RandomGenerator) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking

Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data.

NaturalRanking(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking

Create a NaturalRanking with the given NaNStrategy and TiesStrategy.

NaturalRanking(TiesStrategy) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking

Create a NaturalRanking with the given TiesStrategy.

nDev - Variable in class org.apache.commons.math.stat.descriptive.moment.FirstMoment

Deviation of most recently added value from previous first moment, normalized by previous sample size.

nDevSq - Variable in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment

Square of deviation of most recently added value from previous first moment, normalized by previous sample size.

negate() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction

Negate the instance.

negate() - Method in class org.apache.commons.math.complex.Complex

Return the additive inverse of this complex number.

negate() - Method in class org.apache.commons.math.dfp.Dfp

Returns a number that is this number with the sign bit reversed.

negate() - Method in class org.apache.commons.math.fraction.BigFraction

Return the additive inverse of this fraction, returning the result in reduced form.

negate() - Method in class org.apache.commons.math.fraction.Fraction

Return the additive inverse of this fraction.

negate() - Method in class org.apache.commons.math.geometry.Vector3D

Get the opposite of the instance.

NEGATE - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The - operator wrapped as a ComposableFunction.

NEGATIVE_BRIGHTNESS_EXPONENT - org.apache.commons.math.exception.util.LocalizedFormats

NEGATIVE_COMPLEX_MODULE - org.apache.commons.math.exception.util.LocalizedFormats

NEGATIVE_ELEMENT_AT_2D_INDEX - org.apache.commons.math.exception.util.LocalizedFormats

NEGATIVE_ELEMENT_AT_INDEX - org.apache.commons.math.exception.util.LocalizedFormats

NEGATIVE_INFINITY - Static variable in class org.apache.commons.math.geometry.Vector3D

A vector with all coordinates set to negative infinity.

NEGATIVE_NUMBER_OF_SUCCESSES - org.apache.commons.math.exception.util.LocalizedFormats

NEGATIVE_NUMBER_OF_TRIALS - org.apache.commons.math.exception.util.LocalizedFormats

NEGATIVE_ROBUSTNESS_ITERATIONS - org.apache.commons.math.exception.util.LocalizedFormats

NelderMead - Class in org.apache.commons.math.optimization.direct

This class implements the Nelder-Mead direct search method.

NelderMead() - Constructor for class org.apache.commons.math.optimization.direct.NelderMead

Build a Nelder-Mead optimizer with default coefficients.

NelderMead(double, double, double, double) - Constructor for class org.apache.commons.math.optimization.direct.NelderMead

Build a Nelder-Mead optimizer with specified coefficients.

NevilleInterpolator - Class in org.apache.commons.math.analysis.interpolation

Implements the Neville's Algorithm for interpolation of real univariate functions.

NevilleInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.NevilleInterpolator

newBisectionSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory

Create a new UnivariateRealSolver.

newBisectionSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl

Create a new UnivariateRealSolver.

newBrentSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory

Create a new UnivariateRealSolver.

newBrentSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl

Create a new UnivariateRealSolver.

newCovarianceData(double[][]) - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression

Add the covariance data.

newDefaultSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory

Create a new UnivariateRealSolver.

newDefaultSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl

Create a new UnivariateRealSolver.

newDfp() - Method in class org.apache.commons.math.dfp.DfpField

Makes a Dfp with a value of 0.

newDfp(byte) - Method in class org.apache.commons.math.dfp.DfpField

Create an instance from a byte value.

newDfp(byte, byte) - Method in class org.apache.commons.math.dfp.DfpField

Creates a Dfp with a non-finite value.

newDfp(double) - Method in class org.apache.commons.math.dfp.DfpField

Create an instance from a double value.

newDfp(int) - Method in class org.apache.commons.math.dfp.DfpField

Create an instance from an int value.

newDfp(long) - Method in class org.apache.commons.math.dfp.DfpField

Create an instance from a long value.

newDfp(String) - Method in class org.apache.commons.math.dfp.DfpField

Create a Dfp given a String representation.

newDfp(Dfp) - Method in class org.apache.commons.math.dfp.DfpField

Copy constructor.

newFixedLengthChromosome(List<T>) - Method in class org.apache.commons.math.genetics.AbstractListChromosome

Creates a new instance of the same class as this is, with a given arrayRepresentation.

newInstance() - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory

Create a new factory.

newInstance() - Method in class org.apache.commons.math.dfp.Dfp

Create an instance with a value of 0.

newInstance() - Method in class org.apache.commons.math.dfp.DfpDec

Create an instance with a value of 0.

newInstance(byte) - Method in class org.apache.commons.math.dfp.Dfp

Create an instance from a byte value.

newInstance(byte) - Method in class org.apache.commons.math.dfp.DfpDec

Create an instance from a byte value.

newInstance(byte, byte) - Method in class org.apache.commons.math.dfp.Dfp

Creates an instance with a non-finite value.

newInstance(byte, byte) - Method in class org.apache.commons.math.dfp.DfpDec

Creates an instance with a non-finite value.

newInstance(double) - Method in class org.apache.commons.math.dfp.Dfp

Create an instance from a double value.

newInstance(double) - Method in class org.apache.commons.math.dfp.DfpDec

Create an instance from a double value.

newInstance(int) - Method in class org.apache.commons.math.dfp.Dfp

Create an instance from an int value.

newInstance(int) - Method in class org.apache.commons.math.dfp.DfpDec

Create an instance from an int value.

newInstance(long) - Method in class org.apache.commons.math.dfp.Dfp

Create an instance from a long value.

newInstance(long) - Method in class org.apache.commons.math.dfp.DfpDec

Create an instance from a long value.

newInstance(String) - Method in class org.apache.commons.math.dfp.Dfp

Create an instance from a String representation.

newInstance(String) - Method in class org.apache.commons.math.dfp.DfpDec

Create an instance from a String representation.

newInstance(Dfp) - Method in class org.apache.commons.math.dfp.Dfp

Create an instance by copying an existing one.

newInstance(Dfp) - Method in class org.apache.commons.math.dfp.DfpDec

Create an instance by copying an existing one.

newNewtonSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory

Create a new UnivariateRealSolver.

newNewtonSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl

Create a new UnivariateRealSolver.

newSampleData(double[], double[][]) - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression

Loads model x and y sample data, overriding any previous sample.

newSampleData(double[], double[][], double[][]) - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression

Replace sample data, overriding any previous sample.

newSampleData(double[], int, int) - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Loads model x and y sample data from a flat input array, overriding any previous sample.

newSampleData(double[], int, int) - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression

Loads model x and y sample data from a flat input array, overriding any previous sample.

newSecantSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory

Create a new UnivariateRealSolver.

newSecantSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl

Create a new UnivariateRealSolver.

NewtonSolver - Class in org.apache.commons.math.analysis.solvers

Implements Newton's Method for finding zeros of real univariate functions.

NewtonSolver() - Constructor for class org.apache.commons.math.analysis.solvers.NewtonSolver

Deprecated.

in 2.2 (to be removed in 3.0).

NewtonSolver(DifferentiableUnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.NewtonSolver

Deprecated.

as of 2.0 the function to solve is passed as an argument to the NewtonSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.

newXSampleData(double[][]) - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Loads new x sample data, overriding any previous data.

newXSampleData(double[][]) - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression

Loads new x sample data, overriding any previous data.

newYSampleData(double[]) - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Loads new y sample data, overriding any previous data.

next() - Method in class org.apache.commons.math.linear.AbstractRealVector.SparseEntryIterator

next() - Method in class org.apache.commons.math.linear.OpenMapRealVector.OpenMapSparseIterator

next() - Method in class org.apache.commons.math.util.MultidimensionalCounter.Iterator

next(int) - Method in class org.apache.commons.math.random.AbstractWell

Generate next pseudorandom number.

next(int) - Method in class org.apache.commons.math.random.BitsStreamGenerator

Generate next pseudorandom number.

next(int) - Method in class org.apache.commons.math.random.MersenneTwister

Generate next pseudorandom number.

next(int) - Method in class org.apache.commons.math.random.Well1024a

Generate next pseudorandom number.

next(int) - Method in class org.apache.commons.math.random.Well19937a

Generate next pseudorandom number.

next(int) - Method in class org.apache.commons.math.random.Well19937c

Generate next pseudorandom number.

next(int) - Method in class org.apache.commons.math.random.Well44497a

Generate next pseudorandom number.

next(int) - Method in class org.apache.commons.math.random.Well44497b

Generate next pseudorandom number.

next(int) - Method in class org.apache.commons.math.random.Well512a

Generate next pseudorandom number.

nextAfter(double, double) - Static method in class org.apache.commons.math.util.FastMath

Get the next machine representable number after a number, moving in the direction of another number.

nextAfter(double, double) - Static method in class org.apache.commons.math.util.MathUtils

Deprecated.

as of 2.2, replaced by FastMath.nextAfter(double, double) which handles Infinities differently, and returns direction if d and direction compare equal.

nextAfter(float, double) - Static method in class org.apache.commons.math.util.FastMath

Get the next machine representable number after a number, moving in the direction of another number.

nextAfter(Dfp) - Method in class org.apache.commons.math.dfp.Dfp

Returns the next number greater than this one in the direction of x.

nextAfter(Dfp) - Method in class org.apache.commons.math.dfp.DfpDec

Returns the next number greater than this one in the direction of x.

nextBeta(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates a random value from the Beta Distribution.

nextBinomial(int, double) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates a random value from the Binomial Distribution.

nextBoolean() - Method in class org.apache.commons.math.random.AbstractRandomGenerator

Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.

nextBoolean() - Method in class org.apache.commons.math.random.BitsStreamGenerator

Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.

nextBoolean() - Method in class org.apache.commons.math.random.RandomAdaptor

Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.

nextBoolean() - Method in interface org.apache.commons.math.random.RandomGenerator

Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.

nextBytes(byte[]) - Method in class org.apache.commons.math.random.AbstractRandomGenerator

Generates random bytes and places them into a user-supplied byte array.

nextBytes(byte[]) - Method in class org.apache.commons.math.random.BitsStreamGenerator

Generates random bytes and places them into a user-supplied byte array.

nextBytes(byte[]) - Method in class org.apache.commons.math.random.RandomAdaptor

Generates random bytes and places them into a user-supplied byte array.

nextBytes(byte[]) - Method in interface org.apache.commons.math.random.RandomGenerator

Generates random bytes and places them into a user-supplied byte array.

nextCauchy(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates a random value from the Cauchy Distribution.

nextChiSquare(double) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates a random value from the ChiSquare Distribution.

nextDouble() - Method in class org.apache.commons.math.random.AbstractRandomGenerator

Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.

nextDouble() - Method in class org.apache.commons.math.random.BitsStreamGenerator

Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.

nextDouble() - Method in class org.apache.commons.math.random.RandomAdaptor

Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.

nextDouble() - Method in interface org.apache.commons.math.random.RandomGenerator

Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.

nextExponential(double) - Method in interface org.apache.commons.math.random.RandomData

Generates a random value from the exponential distribution with expected value = mean.

nextExponential(double) - Method in class org.apache.commons.math.random.RandomDataImpl

Returns a random value from an Exponential distribution with the given mean.

nextF(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates a random value from the F Distribution.

nextFloat() - Method in class org.apache.commons.math.random.AbstractRandomGenerator

Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.

nextFloat() - Method in class org.apache.commons.math.random.BitsStreamGenerator

Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.

nextFloat() - Method in class org.apache.commons.math.random.RandomAdaptor

Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.

nextFloat() - Method in interface org.apache.commons.math.random.RandomGenerator

Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.

nextGamma(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates a random value from the Gamma Distribution.

nextGaussian() - Method in class org.apache.commons.math.random.AbstractRandomGenerator

Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.

nextGaussian() - Method in class org.apache.commons.math.random.BitsStreamGenerator

Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.

nextGaussian() - Method in class org.apache.commons.math.random.RandomAdaptor

Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.

nextGaussian() - Method in interface org.apache.commons.math.random.RandomGenerator

Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.

nextGaussian(double, double) - Method in interface org.apache.commons.math.random.RandomData

Generates a random value from the Normal (or Gaussian) distribution with the given mean and standard deviation.

nextGaussian(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl

Generate a random value from a Normal (a.k.a.

nextGeneration() - Method in class org.apache.commons.math.genetics.ElitisticListPopulation

Start the population for the next generation.

nextGeneration() - Method in interface org.apache.commons.math.genetics.Population

Start the population for the next generation.

nextGeneration(Population) - Method in class org.apache.commons.math.genetics.GeneticAlgorithm

Evolve the given population into the next generation.

nextHexString(int) - Method in interface org.apache.commons.math.random.RandomData

Generates a random string of hex characters of length len.

nextHexString(int) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates a random string of hex characters of length len.

nextHypergeometric(int, int, int) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates a random value from the Hypergeometric Distribution.

nextInt() - Method in class org.apache.commons.math.random.AbstractRandomGenerator

Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.

nextInt() - Method in class org.apache.commons.math.random.BitsStreamGenerator

Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.

nextInt() - Method in class org.apache.commons.math.random.RandomAdaptor

Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.

nextInt() - Method in interface org.apache.commons.math.random.RandomGenerator

Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.

nextInt(int) - Method in class org.apache.commons.math.random.AbstractRandomGenerator

Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.

nextInt(int) - Method in class org.apache.commons.math.random.BitsStreamGenerator

Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.

nextInt(int) - Method in class org.apache.commons.math.random.RandomAdaptor

Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.

nextInt(int) - Method in interface org.apache.commons.math.random.RandomGenerator

Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.

nextInt(int, int) - Method in interface org.apache.commons.math.random.RandomData

Generates a uniformly distributed random integer between lower and upper (endpoints included).

nextInt(int, int) - Method in class org.apache.commons.math.random.RandomDataImpl

Generate a random int value uniformly distributed between lower and upper, inclusive.

nextInversionDeviate(ContinuousDistribution) - Method in class org.apache.commons.math.random.RandomDataImpl

Generate a random deviate from the given distribution using the inversion method.

nextInversionDeviate(IntegerDistribution) - Method in class org.apache.commons.math.random.RandomDataImpl

Generate a random deviate from the given distribution using the inversion method.

nextLong() - Method in class org.apache.commons.math.random.AbstractRandomGenerator

Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.

nextLong() - Method in class org.apache.commons.math.random.BitsStreamGenerator

Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.

nextLong() - Method in class org.apache.commons.math.random.RandomAdaptor

Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.

nextLong() - Method in interface org.apache.commons.math.random.RandomGenerator

Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.

nextLong(long, long) - Method in interface org.apache.commons.math.random.RandomData

Generates a uniformly distributed random long integer between lower and upper (endpoints included).

nextLong(long, long) - Method in class org.apache.commons.math.random.RandomDataImpl

Generate a random long value uniformly distributed between lower and upper, inclusive.

nextNormalizedDouble() - Method in class org.apache.commons.math.random.GaussianRandomGenerator

Generate a random scalar with null mean and unit standard deviation.

nextNormalizedDouble() - Method in interface org.apache.commons.math.random.NormalizedRandomGenerator

Generate a random scalar with null mean and unit standard deviation.

nextNormalizedDouble() - Method in class org.apache.commons.math.random.UniformRandomGenerator

Generate a random scalar with null mean and unit standard deviation.

nextPascal(int, double) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates a random value from the Pascal Distribution.

nextPermutation(int, int) - Method in interface org.apache.commons.math.random.RandomData

Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0 through n-1 (inclusive).

nextPermutation(int, int) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0 through n-1 (inclusive).

nextPoisson(double) - Method in interface org.apache.commons.math.random.RandomData

Generates a random value from the Poisson distribution with the given mean.

nextPoisson(double) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates a random value from the Poisson distribution with the given mean.

nextSample(Collection<?>, int) - Method in interface org.apache.commons.math.random.RandomData

Returns an array of k objects selected randomly from the Collection c.

nextSample(Collection<?>, int) - Method in class org.apache.commons.math.random.RandomDataImpl

Uses a 2-cycle permutation shuffle to generate a random permutation.

nextSecureHexString(int) - Method in interface org.apache.commons.math.random.RandomData

Generates a random string of hex characters from a secure random sequence.

nextSecureHexString(int) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates a random string of hex characters from a secure random sequence.

nextSecureInt(int, int) - Method in interface org.apache.commons.math.random.RandomData

Generates a uniformly distributed random integer between lower and upper (endpoints included) from a secure random sequence.

nextSecureInt(int, int) - Method in class org.apache.commons.math.random.RandomDataImpl

Generate a random int value uniformly distributed between lower and upper, inclusive.

nextSecureLong(long, long) - Method in interface org.apache.commons.math.random.RandomData

Generates a random long integer between lower and upper (endpoints included).

nextSecureLong(long, long) - Method in class org.apache.commons.math.random.RandomDataImpl

Generate a random long value uniformly distributed between lower and upper, inclusive.

nextT(double) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates a random value from the T Distribution.

nextUniform(double, double) - Method in interface org.apache.commons.math.random.RandomData

Generates a uniformly distributed random value from the open interval (lower,upper) (i.e., endpoints excluded).

nextUniform(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates a uniformly distributed random value from the open interval (lower,upper) (i.e., endpoints excluded).

nextUp(double) - Static method in class org.apache.commons.math.util.FastMath

Compute next number towards positive infinity.

nextUp(float) - Static method in class org.apache.commons.math.util.FastMath

Compute next number towards positive infinity.

nextVector() - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator

Generate a correlated random vector.

nextVector() - Method in interface org.apache.commons.math.random.RandomVectorGenerator

Generate a random vector.

nextVector() - Method in class org.apache.commons.math.random.UncorrelatedRandomVectorGenerator

Generate an uncorrelated random vector.

nextVector() - Method in class org.apache.commons.math.random.UnitSphereRandomVectorGenerator

Generate a random vector.

nextWeibull(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates a random value from the Weibull Distribution.

nextZipf(int, double) - Method in class org.apache.commons.math.random.RandomDataImpl

Generates a random value from the Zipf Distribution.

NO_BIN_SELECTED - org.apache.commons.math.exception.util.LocalizedFormats

NO_CONVERGENCE_WITH_ANY_START_POINT - org.apache.commons.math.exception.util.LocalizedFormats

NO_DATA - org.apache.commons.math.exception.util.LocalizedFormats

NO_DEGREES_OF_FREEDOM - org.apache.commons.math.exception.util.LocalizedFormats

NO_DENSITY_FOR_THIS_DISTRIBUTION - org.apache.commons.math.exception.util.LocalizedFormats

NO_FEASIBLE_SOLUTION - org.apache.commons.math.exception.util.LocalizedFormats

NO_OPTIMUM_COMPUTED_YET - org.apache.commons.math.exception.util.LocalizedFormats

NO_RESULT_AVAILABLE - org.apache.commons.math.exception.util.LocalizedFormats

NO_SUCH_MATRIX_ENTRY - org.apache.commons.math.exception.util.LocalizedFormats

NoDataException - Exception in org.apache.commons.math.exception

Exception to be thrown when the required data is missing.

NoDataException() - Constructor for exception org.apache.commons.math.exception.NoDataException

Construct the exception.

NoDataException(Localizable) - Constructor for exception org.apache.commons.math.exception.NoDataException

Construct the exception with a specific context.

NoFeasibleSolutionException - Exception in org.apache.commons.math.optimization.linear

This class represents exceptions thrown by optimizers when no solution fulfills the constraints.

NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math.optimization.linear.NoFeasibleSolutionException

Simple constructor using a default message.

NON_CONVERGENT_CONTINUED_FRACTION - org.apache.commons.math.exception.util.LocalizedFormats

NON_POSITIVE_MICROSPHERE_ELEMENTS - org.apache.commons.math.exception.util.LocalizedFormats

NON_POSITIVE_POLYNOMIAL_DEGREE - org.apache.commons.math.exception.util.LocalizedFormats

NON_REAL_FINITE_ABSCISSA - org.apache.commons.math.exception.util.LocalizedFormats

NON_REAL_FINITE_ORDINATE - org.apache.commons.math.exception.util.LocalizedFormats

NON_REAL_FINITE_WEIGHT - org.apache.commons.math.exception.util.LocalizedFormats

NON_SQUARE_MATRIX - org.apache.commons.math.exception.util.LocalizedFormats

NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math.optimization.general

Non-linear conjugate gradient optimizer.

NonLinearConjugateGradientOptimizer(ConjugateGradientFormula) - Constructor for class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer

Simple constructor with default settings.

NonMonotonousSequenceException - Exception in org.apache.commons.math.exception

Exception to be thrown when the a sequence of values is not monotonously increasing or decreasing.

NonMonotonousSequenceException(Number, Number, int) - Constructor for exception org.apache.commons.math.exception.NonMonotonousSequenceException

Construct the exception.

NonMonotonousSequenceException(Number, Number, int, MathUtils.OrderDirection, boolean) - Constructor for exception org.apache.commons.math.exception.NonMonotonousSequenceException

Construct the exception.

nonNegative - Variable in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer

Whether to restrict the variables to non-negative values.

NonSquareMatrixException - Exception in org.apache.commons.math.linear

Thrown when an operation defined only for square matrices is applied to non-square ones.

NonSquareMatrixException(int, int) - Constructor for exception org.apache.commons.math.linear.NonSquareMatrixException

Construct an exception with the given message.

nordsieck - Variable in class org.apache.commons.math.ode.MultistepIntegrator

Nordsieck matrix of the higher scaled derivatives.

NordsieckStepInterpolator - Class in org.apache.commons.math.ode.sampling

This class implements an interpolator for integrators using Nordsieck representation.

NordsieckStepInterpolator() - Constructor for class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator

Simple constructor.

NordsieckStepInterpolator(NordsieckStepInterpolator) - Constructor for class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator

Copy constructor.

normalApproximateProbability(int) - Method in interface org.apache.commons.math.distribution.PoissonDistribution

Calculates the Poisson distribution function using a normal approximation.

normalApproximateProbability(int) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl

Calculates the Poisson distribution function using a normal approximation.

NormalDistribution - Interface in org.apache.commons.math.distribution

Normal (Gauss) Distribution.

NormalDistributionImpl - Class in org.apache.commons.math.distribution

Default implementation of NormalDistribution.

NormalDistributionImpl() - Constructor for class org.apache.commons.math.distribution.NormalDistributionImpl

Creates normal distribution with the mean equal to zero and standard deviation equal to one.

NormalDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.NormalDistributionImpl

Create a normal distribution using the given mean and standard deviation.

NormalDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.NormalDistributionImpl

Create a normal distribution using the given mean, standard deviation and inverse cumulative distribution accuracy.

normalize() - Method in class org.apache.commons.math.geometry.Vector3D

Get a normalized vector aligned with the instance.

normalize(double[]) - Static method in class org.apache.commons.math.stat.StatUtils

Normalize (standardize) the series, so in the end it is having a mean of 0 and a standard deviation of 1.

NORMALIZE_INFINITE - org.apache.commons.math.exception.util.LocalizedFormats

NORMALIZE_NAN - org.apache.commons.math.exception.util.LocalizedFormats

normalizeAngle(double, double) - Static method in class org.apache.commons.math.util.MathUtils

Normalize an angle in a 2&pi wide interval around a center value.

normalizeArray(double[], double) - Static method in class org.apache.commons.math.util.MathUtils

Normalizes an array to make it sum to a specified value.

NormalizedRandomGenerator - Interface in org.apache.commons.math.random

This interface represent a normalized random generator for scalars.

NOT_ADDITION_COMPATIBLE_MATRICES - org.apache.commons.math.exception.util.LocalizedFormats

NOT_DECREASING_NUMBER_OF_POINTS - org.apache.commons.math.exception.util.LocalizedFormats

NOT_DECREASING_SEQUENCE - org.apache.commons.math.exception.util.LocalizedFormats

NOT_ENOUGH_DATA_FOR_NUMBER_OF_PREDICTORS - org.apache.commons.math.exception.util.LocalizedFormats

NOT_ENOUGH_POINTS_IN_SPLINE_PARTITION - org.apache.commons.math.exception.util.LocalizedFormats

NOT_INCREASING_NUMBER_OF_POINTS - org.apache.commons.math.exception.util.LocalizedFormats

NOT_INCREASING_SEQUENCE - org.apache.commons.math.exception.util.LocalizedFormats

NOT_MULTIPLICATION_COMPATIBLE_MATRICES - org.apache.commons.math.exception.util.LocalizedFormats

NOT_OVERRIDEN - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_ALPHA - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_BETA - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_COLUMNDIMENSION - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_DEFINITE_MATRIX - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_DEGREES_OF_FREEDOM - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_ELEMENT_AT_INDEX - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_EXPONENT - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_LENGTH - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_MEAN - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_NUMBER_OF_SAMPLES - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_PERMUTATION - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_POISSON_MEAN - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_POPULATION_SIZE - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_ROW_DIMENSION - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_SAMPLE_SIZE - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_SCALE - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_SHAPE - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_STANDARD_DEVIATION - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_UPPER_BOUND - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POSITIVE_WINDOW_SIZE - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POWER_OF_TWO - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POWER_OF_TWO_CONSIDER_PADDING - org.apache.commons.math.exception.util.LocalizedFormats

NOT_POWER_OF_TWO_PLUS_ONE - org.apache.commons.math.exception.util.LocalizedFormats

NOT_STRICTLY_DECREASING_NUMBER_OF_POINTS - org.apache.commons.math.exception.util.LocalizedFormats

NOT_STRICTLY_DECREASING_SEQUENCE - org.apache.commons.math.exception.util.LocalizedFormats

NOT_STRICTLY_INCREASING_KNOT_VALUES - org.apache.commons.math.exception.util.LocalizedFormats

NOT_STRICTLY_INCREASING_NUMBER_OF_POINTS - org.apache.commons.math.exception.util.LocalizedFormats

NOT_STRICTLY_INCREASING_SEQUENCE - org.apache.commons.math.exception.util.LocalizedFormats

NOT_SUBTRACTION_COMPATIBLE_MATRICES - org.apache.commons.math.exception.util.LocalizedFormats

NOT_SYMMETRIC_MATRIX - org.apache.commons.math.exception.util.LocalizedFormats

NotARotationMatrixException - Exception in org.apache.commons.math.geometry

This class represents exceptions thrown while building rotations from matrices.

NotARotationMatrixException(String, Object...) - Constructor for exception org.apache.commons.math.geometry.NotARotationMatrixException

Deprecated.

as of 2.2 replaced by NotARotationMatrixException(Localizable, Object...)

NotARotationMatrixException(Localizable, Object...) - Constructor for exception org.apache.commons.math.geometry.NotARotationMatrixException

Simple constructor.

NotPositiveDefiniteMatrixException - Exception in org.apache.commons.math.linear

This class represents exceptions thrown when a matrix expected to be positive definite is not.

NotPositiveDefiniteMatrixException() - Constructor for exception org.apache.commons.math.linear.NotPositiveDefiniteMatrixException

Simple constructor.

NotPositiveException - Exception in org.apache.commons.math.exception

Exception to be thrown when the argument is negative.

NotPositiveException(Number) - Constructor for exception org.apache.commons.math.exception.NotPositiveException

Construct the exception.

NotPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math.exception.NotPositiveException

Construct the exception with a specific context.

NotStrictlyPositiveException - Exception in org.apache.commons.math.exception

Exception to be thrown when the argument is negative.

NotStrictlyPositiveException(Number) - Constructor for exception org.apache.commons.math.exception.NotStrictlyPositiveException

Construct the exception.

NotStrictlyPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math.exception.NotStrictlyPositiveException

Construct the exception with a specific context.

NotSymmetricMatrixException - Exception in org.apache.commons.math.linear

This class represents exceptions thrown when a matrix expected to be symmetric is not

NotSymmetricMatrixException() - Constructor for exception org.apache.commons.math.linear.NotSymmetricMatrixException

Simple constructor.

nthRoot(int) - Method in class org.apache.commons.math.complex.Complex

Computes the n-th roots of this complex number.

NULL_NOT_ALLOWED - org.apache.commons.math.exception.util.LocalizedFormats

NullArgumentException - Exception in org.apache.commons.math.exception

All conditions checks that fail due to a null argument must throw this exception.

NullArgumentException() - Constructor for exception org.apache.commons.math.exception.NullArgumentException

Default constructor.

NullArgumentException(Localizable) - Constructor for exception org.apache.commons.math.exception.NullArgumentException

NUMBER_OF_POINTS - org.apache.commons.math.exception.util.LocalizedFormats

NUMBER_OF_SAMPLES - org.apache.commons.math.exception.util.LocalizedFormats

NUMBER_OF_SUCCESS_LARGER_THAN_POPULATION_SIZE - org.apache.commons.math.exception.util.LocalizedFormats

NUMBER_TOO_LARGE - org.apache.commons.math.exception.util.LocalizedFormats

NUMBER_TOO_LARGE_BOUND_EXCLUDED - org.apache.commons.math.exception.util.LocalizedFormats

NUMBER_TOO_SMALL - org.apache.commons.math.exception.util.LocalizedFormats

NUMBER_TOO_SMALL_BOUND_EXCLUDED - org.apache.commons.math.exception.util.LocalizedFormats

NumberIsTooLargeException - Exception in org.apache.commons.math.exception

Exception to be thrown when a number is too large.

NumberIsTooLargeException(Number, Number, boolean) - Constructor for exception org.apache.commons.math.exception.NumberIsTooLargeException

Construct the exception.

NumberIsTooLargeException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math.exception.NumberIsTooLargeException

Construct the exception with a specific context.

NumberIsTooSmallException - Exception in org.apache.commons.math.exception

Exception to be thrown when a number is too small.

NumberIsTooSmallException(Number, Number, boolean) - Constructor for exception org.apache.commons.math.exception.NumberIsTooSmallException

Construct the exception.

NumberIsTooSmallException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math.exception.NumberIsTooSmallException

Construct the exception with a specific context.

NumberTransformer - Interface in org.apache.commons.math.util

Subclasses implementing this interface can transform Objects to doubles.

numElements - Variable in class org.apache.commons.math.util.ResizableDoubleArray

The number of addressable elements in the array.

NUMERATOR - org.apache.commons.math.exception.util.LocalizedFormats

NUMERATOR_FORMAT - org.apache.commons.math.exception.util.LocalizedFormats

NUMERATOR_OVERFLOW_AFTER_MULTIPLY - org.apache.commons.math.exception.util.LocalizedFormats

numeratorFormat - Variable in class org.apache.commons.math.fraction.AbstractFormat

The format used for the numerator.

O

OBJECT_TRANSFORMATION - org.apache.commons.math.exception.util.LocalizedFormats

objective - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Current objective function value.

OBSERVED_COUNTS_ALL_ZERO - org.apache.commons.math.exception.util.LocalizedFormats

OBSERVED_COUNTS_BOTTH_ZERO_FOR_ENTRY - org.apache.commons.math.exception.util.LocalizedFormats

ODEIntegrator - Interface in org.apache.commons.math.ode

This interface defines the common parts shared by integrators for first and second order differential equations.

ODEWithJacobians - Interface in org.apache.commons.math.ode.jacobians

Deprecated.

as of 2.2 the complete package is deprecated, it will be replaced in 3.0 by a completely rewritten implementation

of(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction

Precompose the instance with another function.

OLSMultipleLinearRegression - Class in org.apache.commons.math.stat.regression

Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.

OLSMultipleLinearRegression() - Constructor for class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression

ONE - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The constant function always returning 1.

ONE - Static variable in class org.apache.commons.math.complex.Complex

A complex number representing "1.0 + 0.0i"

ONE - Static variable in class org.apache.commons.math.fraction.BigFraction

A fraction representing "1".

ONE - Static variable in class org.apache.commons.math.fraction.Fraction

A fraction representing "1".

ONE - Static variable in class org.apache.commons.math.util.BigReal

A big real representing 1.

ONE_FIFTH - Static variable in class org.apache.commons.math.fraction.BigFraction

A fraction representing "1/5".

ONE_FIFTH - Static variable in class org.apache.commons.math.fraction.Fraction

A fraction representing "1/5".

ONE_HALF - Static variable in class org.apache.commons.math.fraction.BigFraction

A fraction representing "1/2".

ONE_HALF - Static variable in class org.apache.commons.math.fraction.Fraction

A fraction representing "1/2".

ONE_QUARTER - Static variable in class org.apache.commons.math.fraction.BigFraction

A fraction representing "1/4".

ONE_QUARTER - Static variable in class org.apache.commons.math.fraction.Fraction

A fraction representing "1/4".

ONE_THIRD - Static variable in class org.apache.commons.math.fraction.BigFraction

A fraction representing "1/3".

ONE_THIRD - Static variable in class org.apache.commons.math.fraction.Fraction

A fraction representing "1/3".

OnePointCrossover<T> - Class in org.apache.commons.math.genetics

One point crossover policy.

OnePointCrossover() - Constructor for class org.apache.commons.math.genetics.OnePointCrossover

OneWayAnova - Interface in org.apache.commons.math.stat.inference

An interface for one-way ANOVA (analysis of variance).

oneWayAnovaFValue(Collection<double[]>) - Static method in class org.apache.commons.math.stat.inference.TestUtils

OneWayAnovaImpl - Class in org.apache.commons.math.stat.inference

Implements one-way ANOVA statistics defined in the OneWayAnovaImpl interface.

OneWayAnovaImpl() - Constructor for class org.apache.commons.math.stat.inference.OneWayAnovaImpl

Default constructor.

oneWayAnovaPValue(Collection<double[]>) - Static method in class org.apache.commons.math.stat.inference.TestUtils

oneWayAnovaTest(Collection<double[]>, double) - Static method in class org.apache.commons.math.stat.inference.TestUtils

OpenIntToDoubleHashMap - Class in org.apache.commons.math.util

Open addressed map from int to double.

OpenIntToDoubleHashMap() - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap

Build an empty map with default size and using NaN for missing entries.

OpenIntToDoubleHashMap(double) - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap

Build an empty map with default size

OpenIntToDoubleHashMap(int) - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap

Build an empty map with specified size and using NaN for missing entries.

OpenIntToDoubleHashMap(int, double) - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap

Build an empty map with specified size.

OpenIntToDoubleHashMap(OpenIntToDoubleHashMap) - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap

Copy constructor.

OpenIntToDoubleHashMap.Iterator - Class in org.apache.commons.math.util

Iterator class for the map.

OpenIntToFieldHashMap<T extends FieldElement<T>> - Class in org.apache.commons.math.util

Open addressed map from int to FieldElement.

OpenIntToFieldHashMap(Field<T>) - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap

Build an empty map with default size and using zero for missing entries.

OpenIntToFieldHashMap(Field<T>, int) - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap

Build an empty map with specified size and using zero for missing entries.

OpenIntToFieldHashMap(Field<T>, int, T) - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap

Build an empty map with specified size.

OpenIntToFieldHashMap(Field<T>, T) - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap

Build an empty map with default size

OpenIntToFieldHashMap(OpenIntToFieldHashMap<T>) - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap

Copy constructor.

OpenIntToFieldHashMap.Iterator - Class in org.apache.commons.math.util

Iterator class for the map.

OpenMapEntry(OpenIntToDoubleHashMap.Iterator) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector.OpenMapEntry

Build an entry from an iterator point to an element.

OpenMapRealMatrix - Class in org.apache.commons.math.linear

Sparse matrix implementation based on an open addressed map.

OpenMapRealMatrix(int, int) - Constructor for class org.apache.commons.math.linear.OpenMapRealMatrix

Build a sparse matrix with the supplied row and column dimensions.

OpenMapRealMatrix(OpenMapRealMatrix) - Constructor for class org.apache.commons.math.linear.OpenMapRealMatrix

Build a matrix by copying another one.

OpenMapRealVector - Class in org.apache.commons.math.linear

This class implements the RealVector interface with a OpenIntToDoubleHashMap backing store.

OpenMapRealVector() - Constructor for class org.apache.commons.math.linear.OpenMapRealVector

Build a 0-length vector.

OpenMapRealVector(double[]) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector

Create from a double array.

OpenMapRealVector(double[], double) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector

Create from a double array, specifying zero tolerance.

OpenMapRealVector(int) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector

Construct a (dimension)-length vector of zeros.

OpenMapRealVector(int, double) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector

Construct a (dimension)-length vector of zeros, specifying zero tolerance.

OpenMapRealVector(int, int) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector

Build a vector with known the sparseness (for advanced use only).

OpenMapRealVector(int, int, double) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector

Build a vector with known the sparseness and zero tolerance setting (for advanced use only).

OpenMapRealVector(Double[]) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector

Create from a Double array.

OpenMapRealVector(Double[], double) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector

Create from a Double array.

OpenMapRealVector(OpenMapRealVector) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector

Copy constructor.

OpenMapRealVector(OpenMapRealVector, int) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector

Build a resized vector, for use with append.

OpenMapRealVector(RealVector) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector

Generic copy constructor.

OpenMapRealVector.OpenMapEntry - Class in org.apache.commons.math.linear

Implementation of Entry optimized for OpenMap.

OpenMapRealVector.OpenMapSparseIterator - Class in org.apache.commons.math.linear

Iterator class to do iteration over just the non-zero elements.

OpenMapSparseIterator() - Constructor for class org.apache.commons.math.linear.OpenMapRealVector.OpenMapSparseIterator

Simple constructor.

operate(double[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the result of multiplying this by the vector v.

operate(double[]) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Returns the result of multiplying this by the vector v.

operate(double[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the result of multiplying this by the vector v.

operate(double[]) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the result of multiplying this by the vector v.

operate(double[]) - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the result of multiplying this by the vector v.

operate(double[]) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Returns the result of multiplying this by the vector v.

operate(BigDecimal[]) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the result of multiplying this by the vector v.

operate(BigDecimal[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the result of multiplying this by the vector v.

operate(FieldVector<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the result of multiplying this by the vector v.

operate(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the result of multiplying this by the vector v.

operate(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the result of multiplying this by the vector v.

operate(RealVector) - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the result of multiplying this by the vector v.

operate(T[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the result of multiplying this by the vector v.

operate(T[]) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Returns the result of multiplying this by the vector v.

operate(T[]) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the result of multiplying this by the vector v.

operate(T[]) - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the result of multiplying this by the vector v.

oppositeRelationship() - Method in enum org.apache.commons.math.optimization.linear.Relationship

Get the relationship obtained when multiplying all coefficients by -1.

OptimizationException - Exception in org.apache.commons.math.optimization

Deprecated.

in 2.2 (to be removed in 3.0).

OptimizationException(String, Object...) - Constructor for exception org.apache.commons.math.optimization.OptimizationException

Deprecated.

as of 2.2 replaced by OptimizationException(Localizable, Object...)

OptimizationException(Throwable) - Constructor for exception org.apache.commons.math.optimization.OptimizationException

Deprecated.

Create an exception with a given root cause.

OptimizationException(Localizable, Object...) - Constructor for exception org.apache.commons.math.optimization.OptimizationException

Deprecated.

Simple constructor.

optimize(DifferentiableMultivariateRealFunction, GoalType, double[]) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer

Optimizes an objective function.

optimize(DifferentiableMultivariateRealFunction, GoalType, double[]) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Optimizes an objective function.

optimize(DifferentiableMultivariateRealFunction, GoalType, double[]) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer

Optimizes an objective function.

optimize(DifferentiableMultivariateVectorialFunction, double[], double[], double[]) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer

Optimizes an objective function.

optimize(DifferentiableMultivariateVectorialFunction, double[], double[], double[]) - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Optimizes an objective function.

optimize(DifferentiableMultivariateVectorialFunction, double[], double[], double[]) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer

Optimizes an objective function.

optimize(MultivariateRealFunction, GoalType, double[]) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Optimizes an objective function.

optimize(MultivariateRealFunction, GoalType, double[]) - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer

Optimizes an objective function.

optimize(MultivariateRealFunction, GoalType, double[]) - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer

Optimizes an objective function.

optimize(UnivariateRealFunction, GoalType, double, double) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Find an optimum in the given interval.

optimize(UnivariateRealFunction, GoalType, double, double) - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Find an optimum in the given interval.

optimize(UnivariateRealFunction, GoalType, double, double) - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer

Find an optimum in the given interval.

optimize(UnivariateRealFunction, GoalType, double, double, double) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Find an optimum in the given interval, start at startValue.

optimize(UnivariateRealFunction, GoalType, double, double, double) - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Find an optimum in the given interval, start at startValue.

optimize(UnivariateRealFunction, GoalType, double, double, double) - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer

Find an optimum in the given interval, start at startValue.

optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer

Optimizes an objective function.

optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in interface org.apache.commons.math.optimization.linear.LinearOptimizer

Optimizes an objective function.

org.apache.commons.math - package org.apache.commons.math

Common classes used throughout the commons-math library.

org.apache.commons.math.analysis - package org.apache.commons.math.analysis

Parent package for common numerical analysis procedures, including root finding, function interpolation and integration.

org.apache.commons.math.analysis.integration - package org.apache.commons.math.analysis.integration

Numerical integration (quadrature) algorithms for univariate real functions.

org.apache.commons.math.analysis.interpolation - package org.apache.commons.math.analysis.interpolation

Univariate real functions interpolation algorithms.

org.apache.commons.math.analysis.polynomials - package org.apache.commons.math.analysis.polynomials

Univariate real polynomials implementations, seen as differentiable univariate real functions.

org.apache.commons.math.analysis.solvers - package org.apache.commons.math.analysis.solvers

Root finding algorithms, for univariate real functions.

org.apache.commons.math.complex - package org.apache.commons.math.complex

Complex number type and implementations of complex transcendental functions.

org.apache.commons.math.dfp - package org.apache.commons.math.dfp

Decimal floating point library for Java

org.apache.commons.math.distribution - package org.apache.commons.math.distribution

Implementations of common discrete and continuous distributions.

org.apache.commons.math.estimation - package org.apache.commons.math.estimation

This package provided classes to solve estimation problems, it is deprecated since 2.0.

org.apache.commons.math.exception - package org.apache.commons.math.exception

Specialized exceptions for algorithms errors.

org.apache.commons.math.exception.util - package org.apache.commons.math.exception.util

Classes supporting exception localization.

org.apache.commons.math.fraction - package org.apache.commons.math.fraction

Fraction number type and fraction number formatting.

org.apache.commons.math.genetics - package org.apache.commons.math.genetics

This package provides Genetic Algorithms components and implementations.

org.apache.commons.math.geometry - package org.apache.commons.math.geometry

This package provides basic 3D geometry components.

org.apache.commons.math.linear - package org.apache.commons.math.linear

Linear algebra support.

org.apache.commons.math.ode - package org.apache.commons.math.ode

This package provides classes to solve Ordinary Differential Equations problems.

org.apache.commons.math.ode.events - package org.apache.commons.math.ode.events

This package provides classes to handle discrete events occurring during Ordinary Differential Equations integration.

org.apache.commons.math.ode.jacobians - package org.apache.commons.math.ode.jacobians

This package was intended to solve Ordinary Differential Equations problems and also compute derivatives of the solution.

org.apache.commons.math.ode.nonstiff - package org.apache.commons.math.ode.nonstiff

This package provides classes to solve non-stiff Ordinary Differential Equations problems.

org.apache.commons.math.ode.sampling - package org.apache.commons.math.ode.sampling

This package provides classes to handle sampling steps during Ordinary Differential Equations integration.

org.apache.commons.math.optimization - package org.apache.commons.math.optimization

This package provides common interfaces for the optimization algorithms provided in sub-packages.

org.apache.commons.math.optimization.direct - package org.apache.commons.math.optimization.direct

This package provides optimization algorithms that don't require derivatives.

org.apache.commons.math.optimization.fitting - package org.apache.commons.math.optimization.fitting

This package provides classes to perform curve fitting.

org.apache.commons.math.optimization.general - package org.apache.commons.math.optimization.general

This package provides optimization algorithms that require derivatives.

org.apache.commons.math.optimization.linear - package org.apache.commons.math.optimization.linear

This package provides optimization algorithms for linear constrained problems.

org.apache.commons.math.optimization.univariate - package org.apache.commons.math.optimization.univariate

Univariate real functions minimum finding algorithms.

org.apache.commons.math.random - package org.apache.commons.math.random

Random number and random data generators.

org.apache.commons.math.special - package org.apache.commons.math.special

Implementations of special functions such as Beta and Gamma.

org.apache.commons.math.stat - package org.apache.commons.math.stat

Data storage, manipulation and summary routines.

org.apache.commons.math.stat.clustering - package org.apache.commons.math.stat.clustering

Clustering algorithms

org.apache.commons.math.stat.correlation - package org.apache.commons.math.stat.correlation

Correlations/Covariance computations.

org.apache.commons.math.stat.descriptive - package org.apache.commons.math.stat.descriptive

Generic univariate summary statistic objects.

org.apache.commons.math.stat.descriptive.moment - package org.apache.commons.math.stat.descriptive.moment

Summary statistics based on moments.

org.apache.commons.math.stat.descriptive.rank - package org.apache.commons.math.stat.descriptive.rank

Summary statistics based on ranks.

org.apache.commons.math.stat.descriptive.summary - package org.apache.commons.math.stat.descriptive.summary

Other summary statistics.

org.apache.commons.math.stat.inference - package org.apache.commons.math.stat.inference

Classes providing hypothesis testing and confidence interval construction.

org.apache.commons.math.stat.ranking - package org.apache.commons.math.stat.ranking

Classes providing rank transformations.

org.apache.commons.math.stat.regression - package org.apache.commons.math.stat.regression

Statistical routines involving multivariate data.

org.apache.commons.math.transform - package org.apache.commons.math.transform

Implementations of transform methods, including Fast Fourier transforms.

org.apache.commons.math.util - package org.apache.commons.math.util

Convenience routines and common data structures used throughout the commons-math library.

orthogonal() - Method in class org.apache.commons.math.geometry.Vector3D

Get a vector orthogonal to the instance.

OUT_OF_BOUND_SIGNIFICANCE_LEVEL - org.apache.commons.math.exception.util.LocalizedFormats

OUT_OF_BOUNDS_QUANTILE_VALUE - org.apache.commons.math.exception.util.LocalizedFormats

OUT_OF_ORDER_ABSCISSA_ARRAY - org.apache.commons.math.exception.util.LocalizedFormats

OUT_OF_RANGE_ROOT_OF_UNITY_INDEX - org.apache.commons.math.exception.util.LocalizedFormats

OUT_OF_RANGE_SIMPLE - org.apache.commons.math.exception.util.LocalizedFormats

outerProduct(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector

Compute the outer product.

outerProduct(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector

Compute the outer product.

outerProduct(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Compute the outer product.

outerProduct(double[]) - Method in interface org.apache.commons.math.linear.RealVector

Compute the outer product.

outerProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Compute the outer product.

outerProduct(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Compute the outer product.

outerProduct(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Compute the outer product.

outerProduct(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector

Compute the outer product.

outerProduct(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector

Compute the outer product.

outerProduct(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector

Compute the outer product.

outerProduct(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Compute the outer product.

outerProduct(RealVector) - Method in interface org.apache.commons.math.linear.RealVector

Compute the outer product.

outerProduct(SparseFieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector

Optimized method to compute outer product when both vectors are sparse.

outerProduct(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Compute the outer product.

outerProduct(T[]) - Method in interface org.apache.commons.math.linear.FieldVector

Compute the outer product.

outerProduct(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector

Compute the outer product.

OutOfRangeException - Exception in org.apache.commons.math.exception

Exception to be thrown when some argument is out of range.

OutOfRangeException(Number, Number, Number) - Constructor for exception org.apache.commons.math.exception.OutOfRangeException

Construct an exception from the mismatched dimensions.

OVERFLOW_IN_ADDITION - org.apache.commons.math.exception.util.LocalizedFormats

OVERFLOW_IN_FRACTION - org.apache.commons.math.exception.util.LocalizedFormats

OVERFLOW_IN_SUBTRACTION - org.apache.commons.math.exception.util.LocalizedFormats

P

pairedT(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils

pairedT(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest

Computes a paired, 2-sample t-statistic based on the data in the input arrays.

pairedT(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Computes a paired, 2-sample t-statistic based on the data in the input arrays.

pairedTTest(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils

pairedTTest(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest

Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays.

pairedTTest(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays.

pairedTTest(double[], double[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils

pairedTTest(double[], double[], double) - Method in interface org.apache.commons.math.stat.inference.TTest

Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between sample1 and sample2 is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level alpha.

pairedTTest(double[], double[], double) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between sample1 and sample2 is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level alpha.

ParameterizedODE - Interface in org.apache.commons.math.ode.jacobians

Deprecated.

as of 2.2 the complete package is deprecated, it will be replaced in 3.0 by a completely rewritten implementation

parameters - Variable in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Array of parameters.

ParametricGaussianFunction - Class in org.apache.commons.math.optimization.fitting

A Gaussian function.

ParametricGaussianFunction() - Constructor for class org.apache.commons.math.optimization.fitting.ParametricGaussianFunction

Constructs an instance.

ParametricRealFunction - Interface in org.apache.commons.math.optimization.fitting

An interface representing a real function that depends on one independent variable plus some extra parameters.

parity - Variable in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Parity of the permutation associated with the LU decomposition

parse(String) - Method in class org.apache.commons.math.complex.ComplexFormat

Parses a string to produce a Complex object.

parse(String) - Method in class org.apache.commons.math.fraction.BigFractionFormat

Parses a string to produce a BigFraction object.

parse(String) - Method in class org.apache.commons.math.fraction.FractionFormat

Parses a string to produce a Fraction object.

parse(String) - Method in class org.apache.commons.math.geometry.Vector3DFormat

Parses a string to produce a Vector3D object.

parse(String) - Method in class org.apache.commons.math.linear.RealVectorFormat

Parses a string to produce a RealVector object.

parse(String, ParsePosition) - Method in class org.apache.commons.math.complex.ComplexFormat

Parses a string to produce a Complex object.

parse(String, ParsePosition) - Method in class org.apache.commons.math.fraction.BigFractionFormat

Parses a string to produce a BigFraction object.

parse(String, ParsePosition) - Method in class org.apache.commons.math.fraction.FractionFormat

Parses a string to produce a Fraction object.

parse(String, ParsePosition) - Method in class org.apache.commons.math.fraction.ProperBigFractionFormat

Parses a string to produce a BigFraction object.

parse(String, ParsePosition) - Method in class org.apache.commons.math.fraction.ProperFractionFormat

Parses a string to produce a Fraction object.

parse(String, ParsePosition) - Method in class org.apache.commons.math.geometry.Vector3DFormat

Parses a string to produce a Vector3D object.

parse(String, ParsePosition) - Method in class org.apache.commons.math.linear.RealVectorFormat

Parses a string to produce a RealVector object.

parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math.fraction.AbstractFormat

Parses source until a non-whitespace character is found.

parseAndIgnoreWhitespace(String, ParsePosition) - Method in class org.apache.commons.math.util.CompositeFormat

Parses source until a non-whitespace character is found.

parseFixedstring(String, String, ParsePosition) - Method in class org.apache.commons.math.util.CompositeFormat

Parse source for an expected fixed string.

parseNextBigInteger(String, ParsePosition) - Method in class org.apache.commons.math.fraction.BigFractionFormat

Parses a string to produce a BigInteger.

parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math.fraction.AbstractFormat

Parses source until a non-whitespace character is found.

parseNextCharacter(String, ParsePosition) - Method in class org.apache.commons.math.util.CompositeFormat

Parses source until a non-whitespace character is found.

parseNumber(String, NumberFormat, ParsePosition) - Method in class org.apache.commons.math.util.CompositeFormat

Parses source for a number.

parseObject(String, ParsePosition) - Method in class org.apache.commons.math.complex.ComplexFormat

Parses a string to produce a object.

parseObject(String, ParsePosition) - Method in class org.apache.commons.math.geometry.Vector3DFormat

Parses a string to produce a object.

parseObject(String, ParsePosition) - Method in class org.apache.commons.math.linear.RealVectorFormat

Parses a string to produce a object.

partialDerivative(int) - Method in interface org.apache.commons.math.analysis.DifferentiableMultivariateRealFunction

Returns the partial derivative of the function with respect to a point coordinate.

partialDerivativeX(double, double) - Method in class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction

partialDerivativeXX(double, double) - Method in class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction

partialDerivativeXY(double, double) - Method in class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction

partialDerivativeY(double, double) - Method in class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction

partialDerivativeYY(double, double) - Method in class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction

PascalDistribution - Interface in org.apache.commons.math.distribution

The Pascal distribution.

PascalDistributionImpl - Class in org.apache.commons.math.distribution

The default implementation of PascalDistribution.

PascalDistributionImpl(int, double) - Constructor for class org.apache.commons.math.distribution.PascalDistributionImpl

Create a Pascal distribution with the given number of trials and probability of success.

PearsonsCorrelation - Class in org.apache.commons.math.stat.correlation

Computes Pearson's product-moment correlation coefficients for pairs of arrays or columns of a matrix.

PearsonsCorrelation() - Constructor for class org.apache.commons.math.stat.correlation.PearsonsCorrelation

Create a PearsonsCorrelation instance without data

PearsonsCorrelation(double[][]) - Constructor for class org.apache.commons.math.stat.correlation.PearsonsCorrelation

Create a PearsonsCorrelation from a rectangular array whose columns represent values of variables to be correlated.

PearsonsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math.stat.correlation.PearsonsCorrelation

Create a PearsonsCorrelation from a RealMatrix whose columns represent variables to be correlated.

PearsonsCorrelation(RealMatrix, int) - Constructor for class org.apache.commons.math.stat.correlation.PearsonsCorrelation

Create a PearsonsCorrelation from a covariance matrix.

PearsonsCorrelation(Covariance) - Constructor for class org.apache.commons.math.stat.correlation.PearsonsCorrelation

Create a PearsonsCorrelation from a Covariance.

percentageValue() - Method in class org.apache.commons.math.fraction.BigFraction

Gets the fraction percentage as a double.

percentile(double[], double) - Static method in class org.apache.commons.math.stat.StatUtils

Returns an estimate of the pth percentile of the values in the values array.

percentile(double[], int, int, double) - Static method in class org.apache.commons.math.stat.StatUtils

Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values.

Percentile - Class in org.apache.commons.math.stat.descriptive.rank

Provides percentile computation.

Percentile() - Constructor for class org.apache.commons.math.stat.descriptive.rank.Percentile

Constructs a Percentile with a default quantile value of 50.0.

Percentile(double) - Constructor for class org.apache.commons.math.stat.descriptive.rank.Percentile

Constructs a Percentile with the specific quantile value.

Percentile(Percentile) - Constructor for class org.apache.commons.math.stat.descriptive.rank.Percentile

Copy constructor, creates a new Percentile identical to the original

PERCENTILE_IMPLEMENTATION_CANNOT_ACCESS_METHOD - org.apache.commons.math.exception.util.LocalizedFormats

PERCENTILE_IMPLEMENTATION_UNSUPPORTED_METHOD - org.apache.commons.math.exception.util.LocalizedFormats

permutation - Variable in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Permutation associated with LU decomposition

PERMUTATION_EXCEEDS_N - org.apache.commons.math.exception.util.LocalizedFormats

PERMUTATION_SIZE - org.apache.commons.math.exception.util.LocalizedFormats

PermutationChromosome<T> - Interface in org.apache.commons.math.genetics

Interface indicating that the chromosome represents a permutation of objects.

PI - Static variable in class org.apache.commons.math.util.FastMath

Archimede's constant PI, ratio of circle circumference to diameter.

PLUS_I - Static variable in class org.apache.commons.math.geometry.Vector3D

First canonical vector (coordinates: 1, 0, 0).

PLUS_J - Static variable in class org.apache.commons.math.geometry.Vector3D

Second canonical vector (coordinates: 0, 1, 0).

PLUS_K - Static variable in class org.apache.commons.math.geometry.Vector3D

Third canonical vector (coordinates: 0, 0, 1).

point - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Current point.

point - Variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Deprecated.

PoissonDistribution - Interface in org.apache.commons.math.distribution

Interface representing the Poisson Distribution.

PoissonDistributionImpl - Class in org.apache.commons.math.distribution

Implementation for the PoissonDistribution.

PoissonDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.PoissonDistributionImpl

Create a new Poisson distribution with the given the mean.

PoissonDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.PoissonDistributionImpl

Create a new Poisson distribution with the given mean and convergence criterion.

PoissonDistributionImpl(double, double, int) - Constructor for class org.apache.commons.math.distribution.PoissonDistributionImpl

Create a new Poisson distribution with the given mean, convergence criterion and maximum number of iterations.

PoissonDistributionImpl(double, int) - Constructor for class org.apache.commons.math.distribution.PoissonDistributionImpl

Create a new Poisson distribution with the given mean and maximum number of iterations.

PoissonDistributionImpl(double, NormalDistribution) - Constructor for class org.apache.commons.math.distribution.PoissonDistributionImpl

Deprecated.

as of 2.1 (to avoid possibly inconsistent state, the "NormalDistribution" will be instantiated internally)

POLAK_RIBIERE - org.apache.commons.math.optimization.general.ConjugateGradientFormula

Polak-Ribière formula.

polar2Complex(double, double) - Static method in class org.apache.commons.math.complex.ComplexUtils

Creates a complex number from the given polar representation.

POLYNOMIAL_INTERPOLANTS_MISMATCH_SEGMENTS - org.apache.commons.math.exception.util.LocalizedFormats

polynomialDerivative() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction

Returns the derivative as a PolynomialRealFunction

PolynomialFitter - Class in org.apache.commons.math.optimization.fitting

This class implements a curve fitting specialized for polynomials.

PolynomialFitter(int, DifferentiableMultivariateVectorialOptimizer) - Constructor for class org.apache.commons.math.optimization.fitting.PolynomialFitter

Simple constructor.

PolynomialFunction - Class in org.apache.commons.math.analysis.polynomials

Immutable representation of a real polynomial function with real coefficients.

PolynomialFunction(double[]) - Constructor for class org.apache.commons.math.analysis.polynomials.PolynomialFunction

Construct a polynomial with the given coefficients.

PolynomialFunctionLagrangeForm - Class in org.apache.commons.math.analysis.polynomials

Implements the representation of a real polynomial function in Lagrange Form.

PolynomialFunctionLagrangeForm(double[], double[]) - Constructor for class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm

Construct a Lagrange polynomial with the given abscissas and function values.

PolynomialFunctionNewtonForm - Class in org.apache.commons.math.analysis.polynomials

Implements the representation of a real polynomial function in Newton Form.

PolynomialFunctionNewtonForm(double[], double[]) - Constructor for class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm

Construct a Newton polynomial with the given a[] and c[].

polynomialSplineDerivative() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction

Returns the derivative of the polynomial spline function as a PolynomialSplineFunction

PolynomialSplineFunction - Class in org.apache.commons.math.analysis.polynomials

Represents a polynomial spline function.

PolynomialSplineFunction(double[], PolynomialFunction[]) - Constructor for class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction

Construct a polynomial spline function with the given segment delimiters and interpolating polynomials.

PolynomialsUtils - Class in org.apache.commons.math.analysis.polynomials

A collection of static methods that operate on or return polynomials.

Population - Interface in org.apache.commons.math.genetics

A collection of chromosomes that facilitates generational evolution.

POPULATION_LIMIT_NOT_POSITIVE - org.apache.commons.math.exception.util.LocalizedFormats

POSITION_SIZE_MISMATCH_INPUT_ARRAY - org.apache.commons.math.exception.util.LocalizedFormats

POSITIVE_INFINITY - Static variable in class org.apache.commons.math.geometry.Vector3D

A vector with all coordinates set to positive infinity.

postCompose(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction

Postcompose the instance with another function.

pow(double) - Method in class org.apache.commons.math.fraction.BigFraction

Returns a double whose value is (this^exponent), returning the result in reduced form.

pow(double, double) - Static method in class org.apache.commons.math.util.FastMath

Power function.

pow(int) - Method in class org.apache.commons.math.fraction.BigFraction

Returns a integer whose value is (this^exponent), returning the result in reduced form.

pow(int, int) - Static method in class org.apache.commons.math.util.MathUtils

Raise an int to an int power.

pow(int, long) - Static method in class org.apache.commons.math.util.MathUtils

Raise an int to a long power.

pow(long) - Method in class org.apache.commons.math.fraction.BigFraction

Returns a BigFraction whose value is (this^exponent), returning the result in reduced form.

pow(long, int) - Static method in class org.apache.commons.math.util.MathUtils

Raise a long to an int power.

pow(long, long) - Static method in class org.apache.commons.math.util.MathUtils

Raise a long to a long power.

pow(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction

Returns a BigFraction whose value is (this^exponent), returning the result in reduced form.

pow(BigInteger, int) - Static method in class org.apache.commons.math.util.MathUtils

Raise a BigInteger to an int power.

pow(BigInteger, long) - Static method in class org.apache.commons.math.util.MathUtils

Raise a BigInteger to a long power.

pow(BigInteger, BigInteger) - Static method in class org.apache.commons.math.util.MathUtils

Raise a BigInteger to a BigInteger power.

pow(Complex) - Method in class org.apache.commons.math.complex.Complex

Returns of value of this complex number raised to the power of x.

pow(Dfp, int) - Static method in class org.apache.commons.math.dfp.DfpMath

Raises base to the power a by successive squaring.

pow(Dfp, Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath

Computes x to the y power.

POW - Static variable in class org.apache.commons.math.analysis.BinaryFunction

Deprecated.

The FastMath.pow method wrapped as a BinaryFunction.

PowellOptimizer - Class in org.apache.commons.math.optimization.direct

Powell algorithm.

PowellOptimizer() - Constructor for class org.apache.commons.math.optimization.direct.PowellOptimizer

Constructor with default line search tolerances (see the other constructor).

PowellOptimizer(double) - Constructor for class org.apache.commons.math.optimization.direct.PowellOptimizer

Constructor with default absolute line search tolerances (see the other constructor).

PowellOptimizer(double, double) - Constructor for class org.apache.commons.math.optimization.direct.PowellOptimizer

POWER_NEGATIVE_PARAMETERS - org.apache.commons.math.exception.util.LocalizedFormats

power10(int) - Method in class org.apache.commons.math.dfp.Dfp

Return the specified power of 10.

power10K(int) - Method in class org.apache.commons.math.dfp.Dfp

Get the specified power of 10000.

precondition(double[], double[]) - Method in interface org.apache.commons.math.optimization.general.Preconditioner

Precondition a search direction.

Preconditioner - Interface in org.apache.commons.math.optimization.general

This interface represents a preconditioner for differentiable scalar objective function optimizers.

predict(double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Returns the "predicted" y value associated with the supplied x value, based on the data that has been added to the model when this method is activated.

preMultiply(double[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(double[]) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(double[]) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(double[]) - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(double[]) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(BigDecimal[]) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(BigDecimal[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the result premultiplying this by m.

preMultiply(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the result premultiplying this by m.

preMultiply(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the result premultiplying this by m.

preMultiply(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the result premultiplying this by m.

preMultiply(FieldVector<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the result premultiplying this by m.

preMultiply(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the result premultiplying this by m.

preMultiply(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(RealVector) - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(T[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(T[]) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(T[]) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(T[]) - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the (row) vector result of premultiplying this by the vector v.

printStackTrace() - Method in exception org.apache.commons.math.MathException

Prints the stack trace of this exception to the standard error stream.

printStackTrace() - Method in exception org.apache.commons.math.MathRuntimeException

Prints the stack trace of this exception to the standard error stream.

printStackTrace(PrintStream) - Method in exception org.apache.commons.math.MathException

Prints the stack trace of this exception to the specified stream.

printStackTrace(PrintStream) - Method in exception org.apache.commons.math.MathRuntimeException

Prints the stack trace of this exception to the specified stream.

probability(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).

probability(double) - Method in interface org.apache.commons.math.distribution.DiscreteDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).

probability(int) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl

For this distribution, X, this method returns P(X = x).

probability(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl

For this distribution, X, this method returns P(X = x).

probability(int) - Method in interface org.apache.commons.math.distribution.IntegerDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).

probability(int) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl

For this distribution, X, this method returns P(X = x).

probability(int) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl

The probability mass function P(X = x) for a Poisson distribution.

probability(int) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl

The probability mass function P(X = x) for a Zipf distribution.

product(double[]) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the product of the entries in the input array, or Double.NaN if the array is empty.

product(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

Product - Class in org.apache.commons.math.stat.descriptive.summary

Returns the product of the available values.

Product() - Constructor for class org.apache.commons.math.stat.descriptive.summary.Product

Create a Product instance

Product(Product) - Constructor for class org.apache.commons.math.stat.descriptive.summary.Product

Copy constructor, creates a new Product identical to the original

projection(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector

Find the orthogonal projection of this vector onto another vector.

projection(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector

Find the orthogonal projection of this vector onto another vector.

projection(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Find the orthogonal projection of this vector onto another vector.

projection(double[]) - Method in interface org.apache.commons.math.linear.RealVector

Find the orthogonal projection of this vector onto another vector.

projection(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Find the orthogonal projection of this vector onto another vector.

projection(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Find the orthogonal projection of this vector onto another vector.

projection(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Find the orthogonal projection of this vector onto another vector.

projection(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector

Find the orthogonal projection of this vector onto another vector.

projection(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector

Find the orthogonal projection of this vector onto another vector.

projection(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Find the orthogonal projection of this vector onto another vector.

projection(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Find the orthogonal projection of this vector onto another vector.

projection(RealVector) - Method in interface org.apache.commons.math.linear.RealVector

Find the orthogonal projection of this vector onto another vector.

projection(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Find the orthogonal projection of this vector onto another vector.

projection(T[]) - Method in interface org.apache.commons.math.linear.FieldVector

Find the orthogonal projection of this vector onto another vector.

projection(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector

Find the orthogonal projection of this vector onto another vector.

PROPAGATION_DIRECTION_MISMATCH - org.apache.commons.math.exception.util.LocalizedFormats

ProperBigFractionFormat - Class in org.apache.commons.math.fraction

Formats a BigFraction number in proper format.

ProperBigFractionFormat() - Constructor for class org.apache.commons.math.fraction.ProperBigFractionFormat

Create a proper formatting instance with the default number format for the whole, numerator, and denominator.

ProperBigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.ProperBigFractionFormat

Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.

ProperBigFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.ProperBigFractionFormat

Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.

ProperFractionFormat - Class in org.apache.commons.math.fraction

Formats a Fraction number in proper format.

ProperFractionFormat() - Constructor for class org.apache.commons.math.fraction.ProperFractionFormat

Create a proper formatting instance with the default number format for the whole, numerator, and denominator.

ProperFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.ProperFractionFormat

Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.

ProperFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.ProperFractionFormat

Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.

put(int, double) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap

Put a value associated with a key in the map.

put(int, T) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap

Put a value associated with a key in the map.

putTransformer(Class<?>, NumberTransformer) - Method in class org.apache.commons.math.util.TransformerMap

Sets a Class to Transformer Mapping in the Map.

Q

QNAN - Static variable in class org.apache.commons.math.dfp.Dfp

Indicator value for quiet NaN.

QRDecomposition - Interface in org.apache.commons.math.linear

An interface to classes that implement an algorithm to calculate the QR-decomposition of a real matrix.

QRDecompositionImpl - Class in org.apache.commons.math.linear

Calculates the QR-decomposition of a matrix.

QRDecompositionImpl(RealMatrix) - Constructor for class org.apache.commons.math.linear.QRDecompositionImpl

Calculates the QR-decomposition of the given matrix.

R

RADIX - Static variable in class org.apache.commons.math.dfp.Dfp

The radix, or base of this system.

random() - Static method in class org.apache.commons.math.util.FastMath

Returns a pseudo-random number between 0.0 and 1.0.

RANDOM - org.apache.commons.math.stat.ranking.TiesStrategy

Ties get a random integral value from among applicable ranks

RandomAdaptor - Class in org.apache.commons.math.random

Extension of java.util.Random wrapping a RandomGenerator.

RandomAdaptor(RandomGenerator) - Constructor for class org.apache.commons.math.random.RandomAdaptor

Construct a RandomAdaptor wrapping the supplied RandomGenerator.

randomBinaryRepresentation(int) - Static method in class org.apache.commons.math.genetics.BinaryChromosome

Returns a representation of a random binary array of length length.

randomData - Variable in class org.apache.commons.math.distribution.AbstractContinuousDistribution

RandomData instance used to generate samples from the distribution

randomData - Variable in class org.apache.commons.math.distribution.AbstractIntegerDistribution

RandomData instance used to generate samples from the distribution

RandomData - Interface in org.apache.commons.math.random

Random data generation utilities.

RandomDataImpl - Class in org.apache.commons.math.random

Implements the RandomData interface using a RandomGenerator instance to generate non-secure data and a SecureRandom instance to provide data for the nextSecureXxx methods.

RandomDataImpl() - Constructor for class org.apache.commons.math.random.RandomDataImpl

Construct a RandomDataImpl.

RandomDataImpl(RandomGenerator) - Constructor for class org.apache.commons.math.random.RandomDataImpl

Construct a RandomDataImpl using the supplied RandomGenerator as the source of (non-secure) random data.

RandomGenerator - Interface in org.apache.commons.math.random

Interface extracted from java.util.Random.

RandomKey<T> - Class in org.apache.commons.math.genetics

Random Key chromosome is used for permutation representation.

RandomKey(Double[]) - Constructor for class org.apache.commons.math.genetics.RandomKey

Constructor.

RandomKey(List<Double>) - Constructor for class org.apache.commons.math.genetics.RandomKey

Constructor.

RANDOMKEY_MUTATION_WRONG_CLASS - org.apache.commons.math.exception.util.LocalizedFormats

RandomKeyMutation - Class in org.apache.commons.math.genetics

Mutation operator for RandomKeys.

RandomKeyMutation() - Constructor for class org.apache.commons.math.genetics.RandomKeyMutation

randomPermutation(int) - Static method in class org.apache.commons.math.genetics.RandomKey

Generates a representation corresponding to a random permutation of length l which can be passed to the RandomKey constructor.

RandomVectorGenerator - Interface in org.apache.commons.math.random

This interface represents a random generator for whole vectors.

rank(double[]) - Method in class org.apache.commons.math.stat.ranking.NaturalRanking

Rank data using the natural ordering on Doubles, with NaN values handled according to nanStrategy and ties resolved using tiesStrategy.

rank(double[]) - Method in interface org.apache.commons.math.stat.ranking.RankingAlgorithm

Performs a rank transformation on the input data, returning an array of ranks.

RankingAlgorithm - Interface in org.apache.commons.math.stat.ranking

Interface representing a rank transformation.

readBaseExternal(ObjectInput) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Read the base state of the instance.

readExternal(ObjectInput) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

readExternal(ObjectInput) - Method in class org.apache.commons.math.ode.sampling.DummyStepInterpolator

Read the instance from an input channel.

readExternal(ObjectInput) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator

readResolve() - Method in class org.apache.commons.math.complex.Complex

Resolve the transient fields in a deserialized Complex Object.

REAL_FORMAT - org.apache.commons.math.exception.util.LocalizedFormats

RealConvergenceChecker - Interface in org.apache.commons.math.optimization

This interface specifies how to check if an optimization algorithm has converged.

RealMatrix - Interface in org.apache.commons.math.linear

Interface defining a real-valued matrix with basic algebraic operations.

RealMatrixChangingVisitor - Interface in org.apache.commons.math.linear

Interface defining a visitor for matrix entries.

RealMatrixImpl - Class in org.apache.commons.math.linear

Deprecated.

as of 2.0 replaced by Array2DRowRealMatrix

RealMatrixImpl() - Constructor for class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Creates a matrix with no data

RealMatrixImpl(double[]) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Create a new (column) RealMatrix using v as the data for the unique column of the v.length x 1 matrix created.

RealMatrixImpl(double[][]) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Create a new RealMatrix using the input array as the underlying data array.

RealMatrixImpl(double[][], boolean) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Create a new RealMatrix using the input array as the underlying data array.

RealMatrixImpl(int, int) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Create a new RealMatrix with the supplied row and column dimensions.

RealMatrixPreservingVisitor - Interface in org.apache.commons.math.linear

Interface defining a visitor for matrix entries.

RealPointValuePair - Class in org.apache.commons.math.optimization

This class holds a point and the value of an objective function at this point.

RealPointValuePair(double[], double) - Constructor for class org.apache.commons.math.optimization.RealPointValuePair

Build a point/objective function value pair.

RealPointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math.optimization.RealPointValuePair

Build a point/objective function value pair.

RealTransformer - Interface in org.apache.commons.math.transform

Interface for one-dimensional data sets transformations producing real results.

RealVector - Interface in org.apache.commons.math.linear

Interface defining a real-valued vector with basic algebraic operations.

RealVector.Entry - Class in org.apache.commons.math.linear

Class representing a modifiable entry in the vector.

RealVectorFormat - Class in org.apache.commons.math.linear

Formats a vector in components list format "{v0; v1; ...; vk-1}".

RealVectorFormat() - Constructor for class org.apache.commons.math.linear.RealVectorFormat

Create an instance with default settings.

RealVectorFormat(String, String, String) - Constructor for class org.apache.commons.math.linear.RealVectorFormat

Create an instance with custom prefix, suffix and separator.

RealVectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math.linear.RealVectorFormat

Create an instance with custom prefix, suffix, separator and format for components.

RealVectorFormat(NumberFormat) - Constructor for class org.apache.commons.math.linear.RealVectorFormat

Create an instance with a custom number format for components.

reciprocal() - Method in class org.apache.commons.math.fraction.BigFraction

Return the multiplicative inverse of this fraction.

reciprocal() - Method in class org.apache.commons.math.fraction.Fraction

Return the multiplicative inverse of this fraction.

reduce() - Method in class org.apache.commons.math.fraction.BigFraction

Reduce this BigFraction to its lowest terms.

regularizedBeta(double, double, double) - Static method in class org.apache.commons.math.special.Beta

Returns the regularized beta function I(x, a, b).

regularizedBeta(double, double, double, double) - Static method in class org.apache.commons.math.special.Beta

Returns the regularized beta function I(x, a, b).

regularizedBeta(double, double, double, double, int) - Static method in class org.apache.commons.math.special.Beta

Returns the regularized beta function I(x, a, b).

regularizedBeta(double, double, double, int) - Static method in class org.apache.commons.math.special.Beta

Returns the regularized beta function I(x, a, b).

regularizedGammaP(double, double) - Static method in class org.apache.commons.math.special.Gamma

Returns the regularized gamma function P(a, x).

regularizedGammaP(double, double, double, int) - Static method in class org.apache.commons.math.special.Gamma

Returns the regularized gamma function P(a, x).

regularizedGammaQ(double, double) - Static method in class org.apache.commons.math.special.Gamma

Returns the regularized gamma function Q(a, x) = 1 - P(a, x).

regularizedGammaQ(double, double, double, int) - Static method in class org.apache.commons.math.special.Gamma

Returns the regularized gamma function Q(a, x) = 1 - P(a, x).

reinitialize(double[], boolean) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Reinitialize the instance

reinitialize(double[], boolean) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator

Reinitialize the instance.

reinitialize(double, double, double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator

Reinitialize the instance.

reinitializeBegin(StepInterpolator) - Method in class org.apache.commons.math.ode.events.EventState

Reinitialize the beginning of the step.

Relationship - Enum in org.apache.commons.math.optimization.linear

Types of relationships between two cells in a Solver LinearConstraint.

relativeAccuracy - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Maximum relative error.

remainder(Dfp) - Method in class org.apache.commons.math.dfp.Dfp

Returns the IEEE remainder.

remove() - Method in class org.apache.commons.math.linear.AbstractRealVector.SparseEntryIterator

remove() - Method in class org.apache.commons.math.linear.OpenMapRealVector.OpenMapSparseIterator

remove() - Method in class org.apache.commons.math.util.MultidimensionalCounter.Iterator

remove(int) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap

Remove the value associated with a key.

remove(int) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap

Remove the value associated with a key.

REMOVED - org.apache.commons.math.stat.ranking.NaNStrategy

NaNs are removed before computing ranks

REMOVED - Static variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap

Status indicator for removed table entries.

REMOVED - Static variable in class org.apache.commons.math.util.OpenIntToFieldHashMap

Status indicator for removed table entries.

removeData(double[][]) - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Removes observations represented by the elements in data.

removeData(double, double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Removes the observation (x,y) from the regression data set.

removeMostRecentValue() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Removes the most recent value from the dataset.

removeTransformer(Class<?>) - Method in class org.apache.commons.math.util.TransformerMap

Removes a Class to Transformer Mapping in the Map.

replaceMostRecentValue(double) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Replaces the most recently stored value with the given value.

replaceWorstPoint(RealPointValuePair, Comparator<RealPointValuePair>) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Replace the worst point of the simplex by a new point.

REPLAY_MODE - Static variable in class org.apache.commons.math.random.ValueServer

Replay data from valuesFilePath.

requiresDenseOutput() - Method in class org.apache.commons.math.ode.AbstractIntegrator

Check if dense output is needed.

requiresDenseOutput() - Method in class org.apache.commons.math.ode.ContinuousOutputModel

Determines whether this handler needs dense output.

requiresDenseOutput() - Method in interface org.apache.commons.math.ode.jacobians.StepHandlerWithJacobians

Deprecated.

Determines whether this handler needs dense output.

requiresDenseOutput() - Method in class org.apache.commons.math.ode.sampling.DummyStepHandler

Determines whether this handler needs dense output.

requiresDenseOutput() - Method in interface org.apache.commons.math.ode.sampling.StepHandler

Determines whether this handler needs dense output.

requiresDenseOutput() - Method in class org.apache.commons.math.ode.sampling.StepNormalizer

Determines whether this handler needs dense output.

rescale(double) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator

Rescale the instance.

reSeed() - Method in class org.apache.commons.math.random.RandomDataImpl

Reseeds the random number generator with the current time in milliseconds.

reSeed(long) - Method in class org.apache.commons.math.random.RandomDataImpl

Reseeds the random number generator with the supplied seed.

reseedRandomGenerator(long) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution

Reseeds the random generator used to generate samples.

reseedRandomGenerator(long) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution

Reseeds the random generator used to generate samples.

reSeedSecure() - Method in class org.apache.commons.math.random.RandomDataImpl

Reseeds the secure random number generator with the current time in milliseconds.

reSeedSecure(long) - Method in class org.apache.commons.math.random.RandomDataImpl

Reseeds the secure random number generator with the supplied seed.

reset() - Method in class org.apache.commons.math.ode.ContinuousOutputModel

Reset the step handler.

reset() - Method in interface org.apache.commons.math.ode.jacobians.StepHandlerWithJacobians

Deprecated.

Reset the step handler.

reset() - Method in class org.apache.commons.math.ode.sampling.DummyStepHandler

Reset the step handler.

reset() - Method in interface org.apache.commons.math.ode.sampling.StepHandler

Reset the step handler.

reset() - Method in class org.apache.commons.math.ode.sampling.StepNormalizer

Reset the step handler.

reset(double, double[]) - Method in class org.apache.commons.math.ode.events.CombinedEventsManager

Deprecated.

Let the event handlers reset the state if they want.

reset(double, double[]) - Method in class org.apache.commons.math.ode.events.EventState

Let the event handler reset the state if it wants.

RESET_DERIVATIVES - Static variable in interface org.apache.commons.math.ode.events.EventHandler

Reset derivatives indicator.

RESET_DERIVATIVES - Static variable in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians

Deprecated.

Reset derivatives indicator.

RESET_STATE - Static variable in interface org.apache.commons.math.ode.events.EventHandler

Reset state indicator.

RESET_STATE - Static variable in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians

Deprecated.

Reset state indicator.

resetAbsoluteAccuracy() - Method in interface org.apache.commons.math.ConvergingAlgorithm

Deprecated.

Reset the absolute accuracy to the default.

resetAbsoluteAccuracy() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Reset the absolute accuracy to the default.

resetAbsoluteAccuracy() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Reset the absolute accuracy to the default.

resetEvaluations() - Method in class org.apache.commons.math.ode.AbstractIntegrator

Reset the number of evaluations to zero.

resetFunctionValueAccuracy() - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver

Reset the actual function accuracy to the default.

resetFunctionValueAccuracy() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Reset the actual function accuracy to the default.

resetInternalState() - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Reset internal state to dummy values.

resetIterationsCounter() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Reset the iterations counter to 0.

resetMaximalIterationCount() - Method in interface org.apache.commons.math.ConvergingAlgorithm

Deprecated.

Reset the upper limit for the number of iterations to the default.

resetMaximalIterationCount() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Reset the upper limit for the number of iterations to the default.

resetMaximalIterationCount() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Reset the upper limit for the number of iterations to the default.

resetMinimalIterationCount() - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator

Reset the lower limit for the number of iterations to the default.

resetMinimalIterationCount() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl

Reset the lower limit for the number of iterations to the default.

resetOccurred - Variable in class org.apache.commons.math.ode.AbstractIntegrator

Indicator that a state or derivative reset was triggered by some event.

resetRelativeAccuracy() - Method in interface org.apache.commons.math.ConvergingAlgorithm

Deprecated.

Reset the relative accuracy to the default.

resetRelativeAccuracy() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Reset the relative accuracy to the default.

resetRelativeAccuracy() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Reset the relative accuracy to the default.

resetReplayFile() - Method in class org.apache.commons.math.random.ValueServer

Resets REPLAY_MODE file pointer to the beginning of the valuesFileURL.

resetState(double, double[]) - Method in interface org.apache.commons.math.ode.events.EventHandler

Reset the state prior to continue the integration.

resetState(double, double[], double[][], double[][]) - Method in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians

Deprecated.

Reset the state prior to continue the integration.

residuals - Variable in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Residuals array.

residuals - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Current residuals.

residualsWeights - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Weight for the least squares cost computation.

ResizableDoubleArray - Class in org.apache.commons.math.util

A variable length DoubleArray implementation that automatically handles expanding and contracting its internal storage array as elements are added and removed.

ResizableDoubleArray() - Constructor for class org.apache.commons.math.util.ResizableDoubleArray

Create a ResizableArray with default properties.

ResizableDoubleArray(double[]) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray

Create a ResizableArray from an existing double[] with the initial capacity and numElements corresponding to the size of the supplied double[] array.

ResizableDoubleArray(int) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray

Create a ResizableArray with the specified initial capacity.

ResizableDoubleArray(int, float) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray

Create a ResizableArray with the specified initial capacity and expansion factor.

ResizableDoubleArray(int, float, float) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray

Create a ResizableArray with the specified initialCapacity, expansionFactor, and contractionCriteria.

ResizableDoubleArray(int, float, float, int) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray

Create a ResizableArray with the specified properties.

ResizableDoubleArray(ResizableDoubleArray) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray

Copy constructor.

result - Variable in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl

the last computed integral

result - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

The last computed root.

result - Variable in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

The last computed root.

resultComputed - Variable in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl

indicates whether an integral has been computed

resultComputed - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Indicates where a root has been computed.

resultComputed - Variable in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Indicates where a root has been computed.

revert() - Method in class org.apache.commons.math.geometry.Rotation

Revert a rotation.

RiddersSolver - Class in org.apache.commons.math.analysis.solvers

Implements the Ridders' Method for root finding of real univariate functions.

RiddersSolver() - Constructor for class org.apache.commons.math.analysis.solvers.RiddersSolver

Deprecated.

in 2.2

RiddersSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.RiddersSolver

Deprecated.

as of 2.0 the function to solve is passed as an argument to the RiddersSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.

rint() - Method in class org.apache.commons.math.dfp.Dfp

Round to nearest integer using the round-half-even method.

rint(double) - Static method in class org.apache.commons.math.util.FastMath

Get the whole number that is the nearest to x, or the even one if x is exactly half way between two integers.

RINT - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.rint method wrapped as a ComposableFunction.

RombergIntegrator - Class in org.apache.commons.math.analysis.integration

Implements the Romberg Algorithm for integration of real univariate functions.

RombergIntegrator() - Constructor for class org.apache.commons.math.analysis.integration.RombergIntegrator

Construct an integrator.

RombergIntegrator(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.integration.RombergIntegrator

Deprecated.

as of 2.0 the integrand function is passed as an argument to the RombergIntegrator.integrate(UnivariateRealFunction, double, double)method.

ROOTS_OF_UNITY_NOT_COMPUTED_YET - org.apache.commons.math.exception.util.LocalizedFormats

Rotation - Class in org.apache.commons.math.geometry

This class implements rotations in a three-dimensional space.

Rotation(double[][], double) - Constructor for class org.apache.commons.math.geometry.Rotation

Build a rotation from a 3X3 matrix.

Rotation(double, double, double, double, boolean) - Constructor for class org.apache.commons.math.geometry.Rotation

Build a rotation from the quaternion coordinates.

Rotation(RotationOrder, double, double, double) - Constructor for class org.apache.commons.math.geometry.Rotation

Build a rotation from three Cardan or Euler elementary rotations.

Rotation(Vector3D, double) - Constructor for class org.apache.commons.math.geometry.Rotation

Build a rotation from an axis and an angle.

Rotation(Vector3D, Vector3D) - Constructor for class org.apache.commons.math.geometry.Rotation

Build one of the rotations that transform one vector into another one.

Rotation(Vector3D, Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math.geometry.Rotation

Build the rotation that transforms a pair of vector into another pair.

ROTATION_MATRIX_DIMENSIONS - org.apache.commons.math.exception.util.LocalizedFormats

RotationOrder - Class in org.apache.commons.math.geometry

This class is a utility representing a rotation order specification for Cardan or Euler angles specification.

round(double) - Static method in class org.apache.commons.math.util.FastMath

Get the closest long to x.

round(double, int) - Static method in class org.apache.commons.math.util.MathUtils

Round the given value to the specified number of decimal places.

round(double, int, int) - Static method in class org.apache.commons.math.util.MathUtils

Round the given value to the specified number of decimal places.

round(float) - Static method in class org.apache.commons.math.util.FastMath

Get the closest int to x.

round(float, int) - Static method in class org.apache.commons.math.util.MathUtils

Round the given value to the specified number of decimal places.

round(float, int, int) - Static method in class org.apache.commons.math.util.MathUtils

Round the given value to the specified number of decimal places.

round(int) - Method in class org.apache.commons.math.dfp.Dfp

Round this given the next digit n using the current rounding mode.

round(int) - Method in class org.apache.commons.math.dfp.DfpDec

Round this given the next digit n using the current rounding mode.

ROUND_CEIL - org.apache.commons.math.dfp.DfpField.RoundingMode

Rounds towards positive infinity.

ROUND_DOWN - org.apache.commons.math.dfp.DfpField.RoundingMode

Rounds toward zero (truncation).

ROUND_FLOOR - org.apache.commons.math.dfp.DfpField.RoundingMode

Rounds towards negative infinity.

ROUND_HALF_DOWN - org.apache.commons.math.dfp.DfpField.RoundingMode

Rounds towards nearest unless both are equidistant in which case it rounds toward zero.

ROUND_HALF_EVEN - org.apache.commons.math.dfp.DfpField.RoundingMode

Rounds towards nearest unless both are equidistant in which case it rounds toward the even neighbor.

ROUND_HALF_ODD - org.apache.commons.math.dfp.DfpField.RoundingMode

Rounds towards nearest unless both are equidistant in which case it rounds toward the odd neighbor.

ROUND_HALF_UP - org.apache.commons.math.dfp.DfpField.RoundingMode

Rounds towards nearest unless both are equidistant in which case it rounds away from zero.

ROUND_UP - org.apache.commons.math.dfp.DfpField.RoundingMode

Rounds away from zero if discarded digit is non-zero.

ROW_INDEX_OUT_OF_RANGE - org.apache.commons.math.exception.util.LocalizedFormats

rows - Variable in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Number of rows of the jacobian matrix.

rows - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Number of rows of the jacobian matrix.

RungeKuttaIntegrator - Class in org.apache.commons.math.ode.nonstiff

This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations.

RungeKuttaIntegrator(String, double[], double[][], double[], RungeKuttaStepInterpolator, double) - Constructor for class org.apache.commons.math.ode.nonstiff.RungeKuttaIntegrator

Simple constructor.

S

SAFE_MIN - Static variable in class org.apache.commons.math.util.MathUtils

Safe minimum, such that 1 / SAFE_MIN does not overflow.

safeNorm(double[]) - Static method in class org.apache.commons.math.util.MathUtils

Returns the Cartesian norm (2-norm), handling both overflow and underflow.

SAME_SIGN_AT_ENDPOINTS - org.apache.commons.math.exception.util.LocalizedFormats

sample() - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution

Generates a random value sampled from this distribution.

sample() - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution

Generates a random value sampled from this distribution.

sample() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl

Generates a random value sampled from this distribution.

sample() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

Generates a random value sampled from this distribution.

sample() - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl

Generates a random value sampled from this distribution.

sample(int) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution

Generates a random sample from the distribution.

sample(int) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution

Generates a random sample from the distribution.

sample(UnivariateRealFunction, double, double, int) - Static method in class org.apache.commons.math.transform.FastFourierTransformer

Sample the given univariate real function on the given interval.

SAMPLE_SIZE_EXCEEDS_COLLECTION_SIZE - org.apache.commons.math.exception.util.LocalizedFormats

SAMPLE_SIZE_LARGER_THAN_POPULATION_SIZE - org.apache.commons.math.exception.util.LocalizedFormats

sanityChecks(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.AbstractIntegrator

Perform some sanity checks on the integration parameters.

sanityChecks(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Perform some sanity checks on the integration parameters.

scalAbsoluteTolerance - Variable in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Allowed absolute scalar error.

scalarAdd(double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the result of adding d to each entry of this.

scalarAdd(double) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the result of adding d to each entry of this.

scalarAdd(double) - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the result of adding d to each entry of this.

scalarAdd(BigDecimal) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the result of adding d to each entry of this.

scalarAdd(BigDecimal) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the result of adding d to each entry of this.

scalarAdd(T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the result of adding d to each entry of this.

scalarAdd(T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the result of adding d to each entry of this.

scalarAdd(T) - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the result of adding d to each entry of this.

scalarMultiply(double) - Method in class org.apache.commons.math.geometry.Vector3D

Multiply the instance by a scalar

scalarMultiply(double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the result multiplying each entry of this by d.

scalarMultiply(double) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the result multiplying each entry of this by d.

scalarMultiply(double) - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the result multiplying each entry of this by d.

scalarMultiply(BigDecimal) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the result multiplying each entry of this by d.

scalarMultiply(BigDecimal) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the result of multiplying each entry of this by d

scalarMultiply(T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the result multiplying each entry of this by d.

scalarMultiply(T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the result multiplying each entry of this by d.

scalarMultiply(T) - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the result multiplying each entry of this by d.

scalb(double, int) - Static method in class org.apache.commons.math.util.FastMath

Multiply a double number by a power of 2.

scalb(double, int) - Static method in class org.apache.commons.math.util.MathUtils

Deprecated.

as of 2.2, replaced by FastMath.scalb(double, int)

scalb(float, int) - Static method in class org.apache.commons.math.util.FastMath

Multiply a float number by a power of 2.

scaleArray(double[], double) - Static method in class org.apache.commons.math.transform.FastFourierTransformer

Multiply every component in the given real array by the given real number.

scaleArray(Complex[], double) - Static method in class org.apache.commons.math.transform.FastFourierTransformer

Multiply every component in the given complex array by the given real number.

scaled - Variable in class org.apache.commons.math.ode.MultistepIntegrator

First scaled derivative (h y').

scalRelativeTolerance - Variable in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Allowed relative scalar error.

search(UnivariateRealFunction, GoalType, double, double) - Method in class org.apache.commons.math.optimization.univariate.BracketFinder

Search new points that bracket a local optimum of the function.

searchForFitnessUpdate(Population) - Method in class org.apache.commons.math.genetics.Chromosome

Searches the population for a chromosome representing the same solution, and if it finds one, updates the fitness to its value.

SecantSolver - Class in org.apache.commons.math.analysis.solvers

Implements a modified version of the secant method for approximating a zero of a real univariate function.

SecantSolver() - Constructor for class org.apache.commons.math.analysis.solvers.SecantSolver

Deprecated.

in 2.2 (to be removed in 3.0).

SecantSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.SecantSolver

Deprecated.

as of 2.0 the function to solve is passed as an argument to the SecantSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.

secondMoment - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics

SecondMoment is used to compute the mean and variance

SecondMoment - Class in org.apache.commons.math.stat.descriptive.moment

Computes a statistic related to the Second Central Moment.

SecondMoment() - Constructor for class org.apache.commons.math.stat.descriptive.moment.SecondMoment

Create a SecondMoment instance

SecondMoment(SecondMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.SecondMoment

Copy constructor, creates a new SecondMoment identical to the original

SecondOrderDifferentialEquations - Interface in org.apache.commons.math.ode

This interface represents a second order differential equations set.

SecondOrderIntegrator - Interface in org.apache.commons.math.ode

This interface represents a second order integrator for differential equations.

select(Population) - Method in interface org.apache.commons.math.genetics.SelectionPolicy

Select two chromosomes from the population.

select(Population) - Method in class org.apache.commons.math.genetics.TournamentSelection

Select two chromosomes from the population.

SelectionPolicy - Interface in org.apache.commons.math.genetics

Algorithm used to select a chromosome pair from a population.

SemiVariance - Class in org.apache.commons.math.stat.descriptive.moment

Computes the semivariance of a set of values with respect to a given cutoff value.

SemiVariance() - Constructor for class org.apache.commons.math.stat.descriptive.moment.SemiVariance

Constructs a SemiVariance with default (true) biasCorrected property and default (Downside) varianceDirection property.

SemiVariance(boolean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.SemiVariance

Constructs a SemiVariance with the specified biasCorrected property and default (Downside) varianceDirection property.

SemiVariance(boolean, SemiVariance.Direction) - Constructor for class org.apache.commons.math.stat.descriptive.moment.SemiVariance

Constructs a SemiVariance with the specified isBiasCorrected property and the specified Direction property.

SemiVariance(SemiVariance) - Constructor for class org.apache.commons.math.stat.descriptive.moment.SemiVariance

Copy constructor, creates a new SemiVariance identical to the original

SemiVariance(SemiVariance.Direction) - Constructor for class org.apache.commons.math.stat.descriptive.moment.SemiVariance

Constructs a SemiVariance with the specified Direction property and default (true) biasCorrected property

SemiVariance.Direction - Enum in org.apache.commons.math.stat.descriptive.moment

The direction of the semivariance - either upside or downside.

SEQUENTIAL - org.apache.commons.math.stat.ranking.TiesStrategy

Ties assigned sequential ranks in order of occurrence

serializeRealMatrix(RealMatrix, ObjectOutputStream) - Static method in class org.apache.commons.math.linear.MatrixUtils

Serialize a RealMatrix.

serializeRealVector(RealVector, ObjectOutputStream) - Static method in class org.apache.commons.math.linear.MatrixUtils

Serialize a RealVector.

set(double) - Method in class org.apache.commons.math.linear.AbstractRealVector

Set all elements to a single value.

set(double) - Method in class org.apache.commons.math.linear.ArrayRealVector

Set all elements to a single value.

set(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Set all elements to a single value.

set(double) - Method in interface org.apache.commons.math.linear.RealVector

Set all elements to a single value.

set(int, ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Set a set of consecutive elements.

set(int, ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Set a set of consecutive elements.

set(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Set all elements to a single value.

set(T) - Method in interface org.apache.commons.math.linear.FieldVector

Set all elements to a single value.

set(T) - Method in class org.apache.commons.math.linear.SparseFieldVector

Set all elements to a single value.

setAbsoluteAccuracy(double) - Method in interface org.apache.commons.math.ConvergingAlgorithm

Deprecated.

Set the absolute accuracy.

setAbsoluteAccuracy(double) - Method in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Set the absolute accuracy.

setAbsoluteAccuracy(double) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Set the absolute accuracy.

setAlpha(double) - Method in interface org.apache.commons.math.distribution.BetaDistribution

Deprecated.

as of 2.1

setAlpha(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setAlpha(double) - Method in interface org.apache.commons.math.distribution.GammaDistribution

Deprecated.

as of v2.1

setAlpha(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setArity(int) - Method in class org.apache.commons.math.genetics.TournamentSelection

Sets the arity (number of chromosomes drawn to the tournament).

setBeta(double) - Method in interface org.apache.commons.math.distribution.BetaDistribution

Deprecated.

as of 2.1

setBeta(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setBeta(double) - Method in interface org.apache.commons.math.distribution.GammaDistribution

Deprecated.

as of v2.1

setBeta(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setBiasCorrected(boolean) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance

Sets the biasCorrected property.

setBiasCorrected(boolean) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

setBiasCorrected(boolean) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance

setBound(boolean) - Method in class org.apache.commons.math.estimation.EstimatedParameter

Deprecated.

Set the bound flag of the parameter

setBrightnessExponent(int) - Method in class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator

Set the brightness exponent.

setChiSquareTest(ChiSquareTest) - Static method in class org.apache.commons.math.stat.inference.TestUtils

Deprecated.

2.2 will be removed in 3.0 - not compatible with use from multiple threads

setChiSquareTest(TTest) - Static method in class org.apache.commons.math.stat.inference.TestUtils

Deprecated.

2.2 will be removed in 3.0 - not compatible with use from multiple threads

setChromosomes(List<Chromosome>) - Method in class org.apache.commons.math.genetics.ListPopulation

Sets the list of chromosomes.

setColumn(int, double[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Sets the entries in column number column as a column matrix.

setColumn(int, double[]) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Sets the entries in column number column as a column matrix.

setColumn(int, double[]) - Method in interface org.apache.commons.math.linear.RealMatrix

Sets the entries in column number column as a column matrix.

setColumn(int, T[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Sets the entries in column number column as a column matrix.

setColumn(int, T[]) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Sets the entries in column number column as a column matrix.

setColumn(int, T[]) - Method in interface org.apache.commons.math.linear.FieldMatrix

Sets the entries in column number column as a column matrix.

setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Sets the entries in column number column as a column matrix.

setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Sets the entries in column number column as a column matrix.

setColumnMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Sets the entries in column number column as a column matrix.

setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Sets the entries in column number column as a column matrix.

setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Sets the entries in column number column as a column matrix.

setColumnMatrix(int, RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix

Sets the entries in column number column as a column matrix.

setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Sets the entries in column number column as a vector.

setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Sets the entries in column number column as a vector.

setColumnVector(int, FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Sets the entries in column number column as a vector.

setColumnVector(int, RealVector) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Sets the entries in column number column as a vector.

setColumnVector(int, RealVector) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Sets the entries in column number column as a vector.

setColumnVector(int, RealVector) - Method in interface org.apache.commons.math.linear.RealMatrix

Sets the entries in column number column as a vector.

setContractionCriteria(float) - Method in class org.apache.commons.math.util.ResizableDoubleArray

Sets the contraction criteria for this ExpandContractDoubleArray.

setConvergence(double) - Method in class org.apache.commons.math.estimation.GaussNewtonEstimator

Deprecated.

Set the convergence criterion threshold.

setConvergenceChecker(RealConvergenceChecker) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer

Set the convergence checker.

setConvergenceChecker(RealConvergenceChecker) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Set the convergence checker.

setConvergenceChecker(RealConvergenceChecker) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Set the convergence checker.

setConvergenceChecker(RealConvergenceChecker) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer

Set the convergence checker.

setConvergenceChecker(RealConvergenceChecker) - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer

Set the convergence checker.

setConvergenceChecker(RealConvergenceChecker) - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer

Set the convergence checker.

setConvergenceChecker(VectorialConvergenceChecker) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer

Set the convergence checker.

setConvergenceChecker(VectorialConvergenceChecker) - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Set the convergence checker.

setConvergenceChecker(VectorialConvergenceChecker) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer

Set the convergence checker.

setCostRelativeTolerance(double) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator

Deprecated.

Set the desired relative error in the sum of squares.

setCostRelativeTolerance(double) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer

Set the desired relative error in the sum of squares.

setData(double[]) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic

Set the data array.

setData(double[]) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile

Set the data array.

setData(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic

Set the data array.

setData(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile

Set the data array.

setDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.ChiSquaredDistribution

Deprecated.

as of v2.1

setDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.TDistribution

Deprecated.

as of v2.1

setDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setDenominatorDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.FDistribution

Deprecated.

as of v2.1

setDenominatorDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setDenominatorFormat(NumberFormat) - Method in class org.apache.commons.math.fraction.AbstractFormat

Modify the denominator format.

setDistribution(ChiSquaredDistribution) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl

Modify the distribution used to compute inference statistics.

setDistribution(TDistribution) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Deprecated.

in 2.2 (to be removed in 3.0).

setDistribution(TDistribution) - Method in class org.apache.commons.math.stat.regression.SimpleRegression

Deprecated.

in 2.2 (to be removed in 3.0).

setElement(int, double) - Method in interface org.apache.commons.math.util.DoubleArray

Sets the element at the specified index.

setElement(int, double) - Method in class org.apache.commons.math.util.ResizableDoubleArray

Sets the element at the specified index.

setElitismRate(double) - Method in class org.apache.commons.math.genetics.ElitisticListPopulation

Sets the elitism rate, i.e.

setEntry(int, double) - Method in class org.apache.commons.math.linear.ArrayRealVector

Set a single element.

setEntry(int, double) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Set a single element.

setEntry(int, double) - Method in interface org.apache.commons.math.linear.RealVector

Set a single element.

setEntry(int, int, double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Set the entry in the specified row and column.

setEntry(int, int, double) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Set the entry in the specified row and column.

setEntry(int, int, double) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Set the entry in the specified row and column.

setEntry(int, int, double) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix

Set the entry in the specified row and column.

setEntry(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrix

Set the entry in the specified row and column.

setEntry(int, int, double) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Set the entry in the specified row and column.

setEntry(int, int, T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Set the entry in the specified row and column.

setEntry(int, int, T) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Set the entry in the specified row and column.

setEntry(int, int, T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Set the entry in the specified row and column.

setEntry(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrix

Set the entry in the specified row and column.

setEntry(int, int, T) - Method in class org.apache.commons.math.linear.SparseFieldMatrix

Set the entry in the specified row and column.

setEntry(int, T) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Set a single element.

setEntry(int, T) - Method in interface org.apache.commons.math.linear.FieldVector

Set a single element.

setEntry(int, T) - Method in class org.apache.commons.math.linear.SparseFieldVector

Set a single element.

setEquations(FirstOrderDifferentialEquations) - Method in class org.apache.commons.math.ode.AbstractIntegrator

Set the differential equations.

setEstimate(double) - Method in class org.apache.commons.math.estimation.EstimatedParameter

Deprecated.

Set a new estimated value for the parameter.

setExpansionFactor(float) - Method in class org.apache.commons.math.util.ResizableDoubleArray

Sets the expansionFactor.

setExpansionMode(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray

Sets the expansionMode.

setExponent(double) - Method in interface org.apache.commons.math.distribution.ZipfDistribution

Deprecated.

as of v2.1

setExponent(double) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setFunctionValue(double) - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Set the value at the optimum.

setFunctionValueAccuracy(double) - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver

Set the function value accuracy.

setFunctionValueAccuracy(double) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Set the function value accuracy.

setGamma(GammaDistribution) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Sets the implementation for the geometric mean.

setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the geometric mean.

setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Sets the implementation for the geometric mean.

setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Sets the implementation for the geometric mean.

setGeometricMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Sets the implementation for the gemoetric mean.

setIEEEFlags(int) - Method in class org.apache.commons.math.dfp.DfpField

Sets the IEEE 854 status flags.

setIEEEFlagsBits(int) - Method in class org.apache.commons.math.dfp.DfpField

Sets some bits in the IEEE 854 status flags, without changing the already set bits.

setIgnored(boolean) - Method in class org.apache.commons.math.estimation.WeightedMeasurement

Deprecated.

Set the ignore flag to the specified value Setting the ignore flag to true allow to reject wrong measurements, which sometimes can be detected only rather late.

setImaginaryCharacter(String) - Method in class org.apache.commons.math.complex.ComplexFormat

Modify the imaginaryCharacter.

setImaginaryFormat(NumberFormat) - Method in class org.apache.commons.math.complex.ComplexFormat

Modify the imaginaryFormat.

setIndex(int) - Method in class org.apache.commons.math.linear.RealVector.Entry

Set the index of the entry.

setInitialCapacity(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray

Sets the initial capacity.

setInitialStep(double) - Method in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer

Set the initial step used to bracket the optimum in line search.

setInitialStepBoundFactor(double) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator

Deprecated.

Set the positive input variable used in determining the initial step bound.

setInitialStepBoundFactor(double) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer

Set the positive input variable used in determining the initial step bound.

setInitialStepSize(double) - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Set the initial step size.

setInterpolatedTime(double) - Method in class org.apache.commons.math.ode.ContinuousOutputModel

Set the time of the interpolated point.

setInterpolatedTime(double) - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians

Deprecated.

Set the time of the interpolated point.

setInterpolatedTime(double) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Set the time of the interpolated point.

setInterpolatedTime(double) - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator

Set the time of the interpolated point.

setInterpolationControl(boolean, int) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator

Set the interpolation order control parameter.

setKurtosisImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Sets the implementation for the kurtosis.

setLineSearchSolver(UnivariateRealSolver) - Method in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer

Set the solver to use during line search.

setMaxCostEval(int) - Method in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Set the maximal number of cost evaluations allowed.

setMaxEvaluations(int) - Method in class org.apache.commons.math.ode.AbstractIntegrator

Set the maximal number of differential equations function evaluations.

setMaxEvaluations(int) - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians

Deprecated.

Set the maximal number of differential equations function evaluations.

setMaxEvaluations(int) - Method in interface org.apache.commons.math.ode.ODEIntegrator

Set the maximal number of differential equations function evaluations.

setMaxEvaluations(int) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer

Set the maximal number of functions evaluations.

setMaxEvaluations(int) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer

Set the maximal number of functions evaluations.

setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Set the maximal number of functions evaluations.

setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Set the maximal number of functions evaluations.

setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Set the maximal number of functions evaluations.

setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer

Set the maximal number of functions evaluations.

setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer

Set the maximal number of functions evaluations.

setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer

Set the maximal number of functions evaluations.

setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Set the maximal number of functions evaluations.

setMaxEvaluations(int) - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer

Set the maximal number of functions evaluations.

setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Set the maximal number of functions evaluations.

setMaxEvaluations(int) - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer

Set the maximal number of functions evaluations.

setMaxGrowth(double) - Method in class org.apache.commons.math.ode.MultistepIntegrator

Set the maximal growth factor for stepsize control.

setMaxGrowth(double) - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Set the maximal growth factor for stepsize control.

setMaximalIterationCount(int) - Method in interface org.apache.commons.math.ConvergingAlgorithm

Deprecated.

Set the upper limit for the number of iterations.

setMaximalIterationCount(int) - Method in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Set the upper limit for the number of iterations.

setMaximalIterationCount(int) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Set the upper limit for the number of iterations.

setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Sets the implementation for the maximum.

setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the maximum.

setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Sets the implementation for the maximum.

setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Sets the implementation for the maximum.

setMaxImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Sets the implementation for the maximum.

setMaxIterations(int) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer

Set the maximal number of iterations of the algorithm.

setMaxIterations(int) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer

Set the maximal number of iterations of the algorithm.

setMaxIterations(int) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Set the maximal number of iterations of the algorithm.

setMaxIterations(int) - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Set the maximal number of iterations of the algorithm.

setMaxIterations(int) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

Set the maximal number of iterations of the algorithm.

setMaxIterations(int) - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer

Set the maximal number of iterations of the algorithm.

setMaxIterations(int) - Method in interface org.apache.commons.math.optimization.linear.LinearOptimizer

Set the maximal number of iterations of the algorithm.

setMaxIterations(int) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer

Set the maximal number of iterations of the algorithm.

setMaxIterations(int) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer

Set the maximal number of iterations of the algorithm.

setMaxIterations(int) - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer

Set the maximal number of iterations of the algorithm.

setMaxIterations(int) - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer

Set the maximal number of iterations of the algorithm.

setMean(double) - Method in interface org.apache.commons.math.distribution.ExponentialDistribution

Deprecated.

as of v2.1

setMean(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setMean(double) - Method in interface org.apache.commons.math.distribution.NormalDistribution

Deprecated.

as of v2.1

setMean(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setMean(double) - Method in interface org.apache.commons.math.distribution.PoissonDistribution

Deprecated.

as of v2.1

setMean(double) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Sets the implementation for the mean.

setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the mean.

setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Sets the implementation for the mean.

setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Sets the implementation for the mean.

setMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Sets the implementation for the mean.

setMedian(double) - Method in interface org.apache.commons.math.distribution.CauchyDistribution

Deprecated.

as of v2.1

setMedian(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setMicropshereElements(int) - Method in class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator

Set the number of microsphere elements.

setMinimalIterationCount(int) - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator

Set the lower limit for the number of iterations.

setMinimalIterationCount(int) - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl

Set the lower limit for the number of iterations.

setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Sets the implementation for the minimum.

setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the minimum.

setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Sets the implementation for the minimum.

setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Sets the implementation for the minimum.

setMinImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Sets the implementation for the minimum.

setMinReduction(double) - Method in class org.apache.commons.math.ode.MultistepIntegrator

Set the minimal reduction factor for stepsize control.

setMinReduction(double) - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Set the minimal reduction factor for stepsize control.

setMode(int) - Method in class org.apache.commons.math.random.ValueServer

Setter for property mode.

setMu(double) - Method in class org.apache.commons.math.random.ValueServer

Setter for property mu.

setNoIntercept(boolean) - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

setNormal(NormalDistribution) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setNumberOfElements(int) - Method in interface org.apache.commons.math.distribution.ZipfDistribution

Deprecated.

as of v2.1

setNumberOfElements(int) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setNumberOfSuccesses(int) - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution

Deprecated.

as of v2.1

setNumberOfSuccesses(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setNumberOfSuccesses(int) - Method in interface org.apache.commons.math.distribution.PascalDistribution

Deprecated.

as of v2.1

setNumberOfSuccesses(int) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setNumberOfTrials(int) - Method in interface org.apache.commons.math.distribution.BinomialDistribution

Deprecated.

as of v2.1

setNumberOfTrials(int) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setNumElements(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray

This function allows you to control the number of elements contained in this array, and can be used to "throw out" the last n values in an array.

setNumeratorDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.FDistribution

Deprecated.

as of v2.1

setNumeratorDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setNumeratorFormat(NumberFormat) - Method in class org.apache.commons.math.fraction.AbstractFormat

Modify the numerator format.

setOneWayAnova(OneWayAnova) - Static method in class org.apache.commons.math.stat.inference.TestUtils

Deprecated.

2.2 will be removed in 3.0 - not compatible with use from multiple threads

setOrderControl(int, double, double) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator

Set the order control parameters.

setOrthoTolerance(double) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator

Deprecated.

Set the desired max cosine on the orthogonality.

setOrthoTolerance(double) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer

Set the desired max cosine on the orthogonality.

setParameter(int, double) - Method in interface org.apache.commons.math.ode.jacobians.ParameterizedODE

Deprecated.

Set a parameter.

setParRelativeTolerance(double) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator

Deprecated.

Set the desired relative error in the approximate solution parameters.

setParRelativeTolerance(double) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer

Set the desired relative error in the approximate solution parameters.

setPercentileImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Sets the implementation to be used by DescriptiveStatistics.getPercentile(double).

setPopulationLimit(int) - Method in class org.apache.commons.math.genetics.ListPopulation

Sets the maximal population size.

setPopulationSize(int) - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution

Deprecated.

as of v2.1

setPopulationSize(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setPreconditioner(Preconditioner) - Method in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer

Set the preconditioner.

setProbabilityOfSuccess(double) - Method in interface org.apache.commons.math.distribution.BinomialDistribution

Deprecated.

as of v2.1

setProbabilityOfSuccess(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setProbabilityOfSuccess(double) - Method in interface org.apache.commons.math.distribution.PascalDistribution

Deprecated.

as of v2.1

setProbabilityOfSuccess(double) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setQRRankingThreshold(double) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer

Set the desired threshold for QR ranking.

setQuantile(double) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile

Sets the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).

setRandomGenerator(RandomGenerator) - Static method in class org.apache.commons.math.genetics.GeneticAlgorithm

Set the (static) random generator.

setRealFormat(NumberFormat) - Method in class org.apache.commons.math.complex.ComplexFormat

Modify the realFormat.

setRelativeAccuracy(double) - Method in interface org.apache.commons.math.ConvergingAlgorithm

Deprecated.

Set the relative accuracy.

setRelativeAccuracy(double) - Method in class org.apache.commons.math.ConvergingAlgorithmImpl

Deprecated.

Set the relative accuracy.

setRelativeAccuracy(double) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer

Set the relative accuracy.

setResult(double, double, int) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Convenience function for implementations.

setResult(double, double, int) - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer

Deprecated.

in 2.2 (no alternative).

setResult(double, int) - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl

Convenience function for implementations.

setResult(double, int) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Convenience function for implementations.

setRoundingMode(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Sets the rounding mode for decimal divisions.

setRoundingMode(RoundingMode) - Method in class org.apache.commons.math.util.BigReal

Sets the rounding mode for decimal divisions.

setRoundingMode(DfpField.RoundingMode) - Method in class org.apache.commons.math.dfp.DfpField

Set the rounding mode.

setRow(int, double[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Sets the entries in row number row as a row matrix.

setRow(int, double[]) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Sets the entries in row number row as a row matrix.

setRow(int, double[]) - Method in interface org.apache.commons.math.linear.RealMatrix

Sets the entries in row number row as a row matrix.

setRow(int, T[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Sets the entries in row number row as a row matrix.

setRow(int, T[]) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Sets the entries in row number row as a row matrix.

setRow(int, T[]) - Method in interface org.apache.commons.math.linear.FieldMatrix

Sets the entries in row number row as a row matrix.

setRowMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Sets the entries in row number row as a row matrix.

setRowMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Sets the entries in row number row as a row matrix.

setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Sets the entries in row number row as a row matrix.

setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Sets the entries in row number row as a row matrix.

setRowMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Sets the entries in row number row as a row matrix.

setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Sets the entries in row number row as a row matrix.

setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Sets the entries in row number row as a row matrix.

setRowMatrix(int, RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix

Sets the entries in row number row as a row matrix.

setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Sets the entries in row number row as a vector.

setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Sets the entries in row number row as a vector.

setRowVector(int, FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Sets the entries in row number row as a vector.

setRowVector(int, RealVector) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Sets the entries in row number row as a vector.

setRowVector(int, RealVector) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Sets the entries in row number row as a vector.

setRowVector(int, RealVector) - Method in interface org.apache.commons.math.linear.RealMatrix

Sets the entries in row number row as a vector.

setSafety(double) - Method in class org.apache.commons.math.ode.MultistepIntegrator

Set the safety factor for stepsize control.

setSafety(double) - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Set the safety factor for stepsize control.

setSampleSize(int) - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution

Deprecated.

as of v2.1

setSampleSize(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setScale(double) - Method in interface org.apache.commons.math.distribution.CauchyDistribution

Deprecated.

as of v2.1

setScale(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setScale(double) - Method in interface org.apache.commons.math.distribution.WeibullDistribution

Deprecated.

as of v2.1

setScale(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setScale(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Sets the scale for division operations.

setScale(int) - Method in class org.apache.commons.math.util.BigReal

Sets the scale for division operations.

setSecureAlgorithm(String, String) - Method in class org.apache.commons.math.random.RandomDataImpl

Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API.

setSeed(int) - Method in class org.apache.commons.math.random.AbstractRandomGenerator

Sets the seed of the underlying random number generator using an int seed.

setSeed(int) - Method in class org.apache.commons.math.random.AbstractWell

Reinitialize the generator as if just built with the given int seed.

setSeed(int) - Method in class org.apache.commons.math.random.BitsStreamGenerator

Sets the seed of the underlying random number generator using an int seed.

setSeed(int) - Method in class org.apache.commons.math.random.JDKRandomGenerator

Sets the seed of the underlying random number generator using an int seed.

setSeed(int) - Method in class org.apache.commons.math.random.MersenneTwister

Reinitialize the generator as if just built with the given int seed.

setSeed(int) - Method in class org.apache.commons.math.random.RandomAdaptor

Sets the seed of the underlying random number generator using an int seed.

setSeed(int) - Method in interface org.apache.commons.math.random.RandomGenerator

Sets the seed of the underlying random number generator using an int seed.

setSeed(int[]) - Method in class org.apache.commons.math.random.AbstractRandomGenerator

Sets the seed of the underlying random number generator using an int array seed.

setSeed(int[]) - Method in class org.apache.commons.math.random.AbstractWell

Reinitialize the generator as if just built with the given int array seed.

setSeed(int[]) - Method in class org.apache.commons.math.random.BitsStreamGenerator

Sets the seed of the underlying random number generator using an int array seed.

setSeed(int[]) - Method in class org.apache.commons.math.random.JDKRandomGenerator

Sets the seed of the underlying random number generator using an int array seed.

setSeed(int[]) - Method in class org.apache.commons.math.random.MersenneTwister

Reinitialize the generator as if just built with the given int array seed.

setSeed(int[]) - Method in class org.apache.commons.math.random.RandomAdaptor

Sets the seed of the underlying random number generator using an int array seed.

setSeed(int[]) - Method in interface org.apache.commons.math.random.RandomGenerator

Sets the seed of the underlying random number generator using an int array seed.

setSeed(long) - Method in class org.apache.commons.math.random.AbstractRandomGenerator

Sets the seed of the underyling random number generator using a long seed.

setSeed(long) - Method in class org.apache.commons.math.random.AbstractWell

Reinitialize the generator as if just built with the given long seed.

setSeed(long) - Method in class org.apache.commons.math.random.BitsStreamGenerator

Sets the seed of the underlying random number generator using a long seed.

setSeed(long) - Method in class org.apache.commons.math.random.MersenneTwister

Reinitialize the generator as if just built with the given long seed.

setSeed(long) - Method in class org.apache.commons.math.random.RandomAdaptor

Sets the seed of the underlying random number generator using a long seed.

setSeed(long) - Method in interface org.apache.commons.math.random.RandomGenerator

Sets the seed of the underlying random number generator using a long seed.

setShape(double) - Method in interface org.apache.commons.math.distribution.WeibullDistribution

Deprecated.

as of v2.1

setShape(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setSigma(double) - Method in class org.apache.commons.math.random.ValueServer

Setter for property sigma.

setSkewnessImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Sets the implementation for the skewness.

setSoftCurrentTime(double) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Restrict step range to a limited part of the global step.

setSoftPreviousTime(double) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Restrict step range to a limited part of the global step.

setStabilityCheck(boolean, int, int, double) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator

Set the stability check controls.

setStandardDeviation(double) - Method in interface org.apache.commons.math.distribution.NormalDistribution

Deprecated.

as of v2.1

setStandardDeviation(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl

Deprecated.

as of 2.1 (class will become immutable in 3.0)

setStartConfiguration(double[]) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Set start configuration for simplex.

setStartConfiguration(double[][]) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Set start configuration for simplex.

setStarterIntegrator(FirstOrderIntegrator) - Method in class org.apache.commons.math.ode.MultistepIntegrator

Set the starter integrator.

setStateInitialized(boolean) - Method in class org.apache.commons.math.ode.AbstractIntegrator

Set the stateInitialized flag.

setSteadyStateThreshold(double) - Method in class org.apache.commons.math.estimation.GaussNewtonEstimator

Deprecated.

Set the steady state detection threshold.

setStepsizeControl(double, double, double, double) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator

Set the step size control factors.

setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Replace the submatrix starting at row, column using data in the input subMatrix array.

setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Replace the submatrix starting at row, column using data in the input subMatrix array.

setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Replace the submatrix starting at row, column using data in the input subMatrix array.

setSubMatrix(double[][], int, int) - Method in interface org.apache.commons.math.linear.RealMatrix

Replace the submatrix starting at row, column using data in the input subMatrix array.

setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Replace the submatrix starting at row, column using data in the input subMatrix array.

setSubMatrix(BigDecimal[][], int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Replace the submatrix starting at row, column using data in the input subMatrix array.

setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Replace the submatrix starting at row, column using data in the input subMatrix array.

setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Replace the submatrix starting at row, column using data in the input subMatrix array.

setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Replace the submatrix starting at row, column using data in the input subMatrix array.

setSubMatrix(T[][], int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Replace the submatrix starting at row, column using data in the input subMatrix array.

setSubVector(int, double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector

Set a set of consecutive elements.

setSubVector(int, double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector

Set a set of consecutive elements.

setSubVector(int, double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Set a set of consecutive elements.

setSubVector(int, double[]) - Method in interface org.apache.commons.math.linear.RealVector

Set a set of consecutive elements.

setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Set a set of consecutive elements.

setSubVector(int, FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector

Set a set of consecutive elements.

setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector

Set a set of consecutive elements.

setSubVector(int, RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector

Set a set of consecutive elements.

setSubVector(int, RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Set a set of consecutive elements.

setSubVector(int, RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Set a set of consecutive elements.

setSubVector(int, RealVector) - Method in interface org.apache.commons.math.linear.RealVector

Set a set of consecutive elements.

setSubVector(int, T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Set a set of consecutive elements.

setSubVector(int, T[]) - Method in interface org.apache.commons.math.linear.FieldVector

Set a set of consecutive elements.

setSubVector(int, T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector

Set a set of consecutive elements.

setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Sets the implementation for the Sum.

setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the Sum.

setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Sets the implementation for the Sum.

setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Sets the implementation for the Sum.

setSumImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Sets the implementation for the sum.

setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean

Sets the implementation for the sum of logs.

setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Sets the implementation for the sum of logs.

setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the sum of logs.

setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Sets the implementation for the sum of logs.

setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Sets the implementation for the sum of logs.

setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Sets the implementation for the sum of squares.

setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the sum of squares.

setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Sets the implementation for the sum of squares.

setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Sets the implementation for the sum of squares.

setSumsqImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Sets the implementation for the sum of squares.

setUnknownDistributionChiSquareTest(UnknownDistributionChiSquareTest) - Static method in class org.apache.commons.math.stat.inference.TestUtils

Deprecated.

2.2 will be removed in 3.0 - not compatible with use from multiple threads

setValue(double) - Method in class org.apache.commons.math.linear.AbstractRealVector.EntryImpl

Set the value of the entry.

setValue(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector.OpenMapEntry

Set the value of the entry.

setValue(double) - Method in class org.apache.commons.math.linear.RealVector.Entry

Set the value of the entry.

setValuesFileURL(String) - Method in class org.apache.commons.math.random.ValueServer

Sets the valuesFileURL using a string URL representation

setValuesFileURL(URL) - Method in class org.apache.commons.math.random.ValueServer

Sets the valuesFileURL

setVarianceDirection(SemiVariance.Direction) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance

Sets the variance direction

setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Sets the implementation for the variance.

setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the variance.

setVarianceImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Sets the implementation for the variance.

setWholeFormat(NumberFormat) - Method in class org.apache.commons.math.fraction.ProperBigFractionFormat

Modify the whole format.

setWholeFormat(NumberFormat) - Method in class org.apache.commons.math.fraction.ProperFractionFormat

Modify the whole format.

setWindowSize(int) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

WindowSize controls the number of values which contribute to the reported statistics.

setWindowSize(int) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

WindowSize controls the number of values which contribute to the reported statistics.

shift() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Shift one step forward.

shiftLeft() - Method in class org.apache.commons.math.dfp.Dfp

Shift the mantissa left, and adjust the exponent to compensate.

shiftRight() - Method in class org.apache.commons.math.dfp.Dfp

Shift the mantissa right, and adjust the exponent to compensate.

sign - Variable in class org.apache.commons.math.dfp.Dfp

Sign bit: & for positive, -1 for negative.

sign(byte) - Static method in class org.apache.commons.math.util.MathUtils

Returns the sign for byte value x.

sign(double) - Static method in class org.apache.commons.math.util.MathUtils

Returns the sign for double precision x.

sign(float) - Static method in class org.apache.commons.math.util.MathUtils

Returns the sign for float value x.

sign(int) - Static method in class org.apache.commons.math.util.MathUtils

Returns the sign for int value x.

sign(long) - Static method in class org.apache.commons.math.util.MathUtils

Returns the sign for long value x.

sign(short) - Static method in class org.apache.commons.math.util.MathUtils

Returns the sign for short value x.

signum(double) - Static method in class org.apache.commons.math.util.FastMath

Compute the signum of a number.

signum(float) - Static method in class org.apache.commons.math.util.FastMath

Compute the signum of a number.

SIGNUM - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.signum method wrapped as a ComposableFunction.

SIMPLE_MESSAGE - org.apache.commons.math.exception.util.LocalizedFormats

SimpleEstimationProblem - Class in org.apache.commons.math.estimation

Deprecated.

as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general

SimpleEstimationProblem() - Constructor for class org.apache.commons.math.estimation.SimpleEstimationProblem

Deprecated.

Build an empty instance without parameters nor measurements.

SimpleRealPointChecker - Class in org.apache.commons.math.optimization

Simple implementation of the RealConvergenceChecker interface using only point coordinates.

SimpleRealPointChecker() - Constructor for class org.apache.commons.math.optimization.SimpleRealPointChecker

Build an instance with default threshold.

SimpleRealPointChecker(double, double) - Constructor for class org.apache.commons.math.optimization.SimpleRealPointChecker

Build an instance with a specified threshold.

SimpleRegression - Class in org.apache.commons.math.stat.regression

Estimates an ordinary least squares regression model with one independent variable.

SimpleRegression() - Constructor for class org.apache.commons.math.stat.regression.SimpleRegression

Create an empty SimpleRegression instance

SimpleRegression(int) - Constructor for class org.apache.commons.math.stat.regression.SimpleRegression

Create an empty SimpleRegression.

SimpleRegression(TDistribution) - Constructor for class org.apache.commons.math.stat.regression.SimpleRegression

Deprecated.

in 2.2 (to be removed in 3.0). Please use the other constructor instead.

SimpleScalarValueChecker - Class in org.apache.commons.math.optimization

Simple implementation of the RealConvergenceChecker interface using only objective function values.

SimpleScalarValueChecker() - Constructor for class org.apache.commons.math.optimization.SimpleScalarValueChecker

Build an instance with default threshold.

SimpleScalarValueChecker(double, double) - Constructor for class org.apache.commons.math.optimization.SimpleScalarValueChecker

Build an instance with a specified threshold.

SimpleVectorialPointChecker - Class in org.apache.commons.math.optimization

Simple implementation of the VectorialConvergenceChecker interface using only point coordinates.

SimpleVectorialPointChecker() - Constructor for class org.apache.commons.math.optimization.SimpleVectorialPointChecker

Build an instance with default threshold.

SimpleVectorialPointChecker(double, double) - Constructor for class org.apache.commons.math.optimization.SimpleVectorialPointChecker

Build an instance with a specified threshold.

SimpleVectorialValueChecker - Class in org.apache.commons.math.optimization

Simple implementation of the VectorialConvergenceChecker interface using only objective function values.

SimpleVectorialValueChecker() - Constructor for class org.apache.commons.math.optimization.SimpleVectorialValueChecker

Build an instance with default threshold.

SimpleVectorialValueChecker(double, double) - Constructor for class org.apache.commons.math.optimization.SimpleVectorialValueChecker

Build an instance with a specified threshold.

simplex - Variable in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer

Simplex.

SIMPLEX_NEED_ONE_POINT - org.apache.commons.math.exception.util.LocalizedFormats

SimplexSolver - Class in org.apache.commons.math.optimization.linear

Solves a linear problem using the Two-Phase Simplex Method.

SimplexSolver() - Constructor for class org.apache.commons.math.optimization.linear.SimplexSolver

Build a simplex solver with default settings.

SimplexSolver(double) - Constructor for class org.apache.commons.math.optimization.linear.SimplexSolver

Build a simplex solver with a specified accepted amount of error

SimpsonIntegrator - Class in org.apache.commons.math.analysis.integration

Implements the Simpson's Rule for integration of real univariate functions.

SimpsonIntegrator() - Constructor for class org.apache.commons.math.analysis.integration.SimpsonIntegrator

Construct an integrator.

SimpsonIntegrator(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.integration.SimpsonIntegrator

Deprecated.

as of 2.0 the integrand function is passed as an argument to the SimpsonIntegrator.integrate(UnivariateRealFunction, double, double)method.

sin() - Method in class org.apache.commons.math.complex.Complex

Compute the sine of this complex number.

sin(double) - Static method in class org.apache.commons.math.util.FastMath

Sine function.

sin(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath

computes the sine of the argument.

SIN - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.sin method wrapped as a ComposableFunction.

SINGULAR_MATRIX - org.apache.commons.math.exception.util.LocalizedFormats

SingularMatrixException - Exception in org.apache.commons.math.linear

Thrown when a matrix is singular.

SingularMatrixException() - Constructor for exception org.apache.commons.math.linear.SingularMatrixException

Construct an exception with a default message.

SingularValueDecomposition - Interface in org.apache.commons.math.linear

An interface to classes that implement an algorithm to calculate the Singular Value Decomposition of a real matrix.

SingularValueDecompositionImpl - Class in org.apache.commons.math.linear

Calculates the compact Singular Value Decomposition of a matrix.

SingularValueDecompositionImpl(RealMatrix) - Constructor for class org.apache.commons.math.linear.SingularValueDecompositionImpl

Calculates the compact Singular Value Decomposition of the given matrix.

sinh() - Method in class org.apache.commons.math.complex.Complex

Compute the hyperbolic sine of this complex number.

sinh(double) - Static method in class org.apache.commons.math.util.FastMath

Compute the hyperbolic sine of a number.

sinh(double) - Static method in class org.apache.commons.math.util.MathUtils

Returns the hyperbolic sine of x.

SINH - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.sinh method wrapped as a ComposableFunction.

sinInternal(Dfp[]) - Static method in class org.apache.commons.math.dfp.DfpMath

Computes sin(a) Used when 0 < a < pi/4.

size() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap

Get the number of elements stored in the map.

size() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap

Get the number of elements stored in the map.

Skewness - Class in org.apache.commons.math.stat.descriptive.moment

Computes the skewness of the available values.

Skewness() - Constructor for class org.apache.commons.math.stat.descriptive.moment.Skewness

Constructs a Skewness

Skewness(Skewness) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Skewness

Copy constructor, creates a new Skewness identical to the original

Skewness(ThirdMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Skewness

Constructs a Skewness with an external moment

smooth(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.LoessInterpolator

Compute a loess fit on the data at the original abscissae.

smooth(double[], double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.LoessInterpolator

Compute a weighted loess fit on the data at the original abscissae.

SmoothingBicubicSplineInterpolator - Class in org.apache.commons.math.analysis.interpolation

Deprecated.

This class does not perform smoothing; the name is thus misleading. Please use BicubicSplineInterpolator instead. If smoothing is desired, a tentative implementation is provided in class SmoothingPolynomialBicubicSplineInterpolator. This class will be removed in math 3.0.

SmoothingBicubicSplineInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.SmoothingBicubicSplineInterpolator

Deprecated.

SmoothingPolynomialBicubicSplineInterpolator - Class in org.apache.commons.math.analysis.interpolation

Generates a bicubic interpolation function.

SmoothingPolynomialBicubicSplineInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator

Default constructor.

SmoothingPolynomialBicubicSplineInterpolator(int) - Constructor for class org.apache.commons.math.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator

SmoothingPolynomialBicubicSplineInterpolator(int, int) - Constructor for class org.apache.commons.math.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator

SNAN - Static variable in class org.apache.commons.math.dfp.Dfp

Indicator value for signaling NaN.

solve(double[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Deprecated.

solve(double[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.

solve(double[]) - Method in interface org.apache.commons.math.linear.DecompositionSolver

Solve the linear equation A × X = B for matrices A.

solve(double[]) - Method in interface org.apache.commons.math.linear.RealMatrix

Deprecated.

as of release 2.0, replaced by DecompositionSolver.solve(double[])

solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver

Deprecated.

solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver

Deprecated.

solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver

Deprecated.

solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver

Deprecated.

solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver

Deprecated.

solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver

Deprecated.

solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver

Deprecated.

solve(double, double) - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver

Deprecated.

replaced by UnivariateRealSolver.solve(UnivariateRealFunction, double, double) since 2.0

solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver

Deprecated.

solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver

Deprecated.

solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver

Deprecated.

solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver

Deprecated.

solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver

Deprecated.

solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver

Deprecated.

solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver

Deprecated.

solve(double, double, double) - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver

Deprecated.

replaced by UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) since 2.0

solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver

Solve for a zero root in the given interval.

solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver

Find a zero in the given interval.

solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver

Find a real root in the given interval.

solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver

Find a real root in the given interval.

solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver

Find a zero near the midpoint of min and max.

solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver

Find a root in the given interval.

solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver

Find a zero in the given interval.

solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Solve for a zero root in the given interval.

solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver

Solve for a zero in the given interval, start at startValue.

solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver

Find a zero in the given interval with an initial guess.

solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver

Find a real root in the given interval with initial value.

solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver

Find a real root in the given interval with initial value.

solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver

Find a zero near the value startValue.

solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver

Find a root in the given interval with initial value.

solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver

Find a zero in the given interval.

solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Solve for a zero in the given interval, start at startValue.

solve(BigDecimal[]) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the solution vector for a linear system with coefficient matrix = this and constant vector = b.

solve(BigDecimal[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.

solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double) - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils

Convenience method to find a zero of a univariate real function.

solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double, double) - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solve(UnivariateRealFunction, double, double, double) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils

Convenience method to find a zero of a univariate real function.

solve(Complex[], Complex) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver

Deprecated.

in 2.2.

solve(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.

solve(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.

solve(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver

Solve the linear equation A × X = B for matrices A.

solve(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver

Solve the linear equation A × X = B for matrices A.

solve(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Deprecated.

solve(RealMatrix) - Method in interface org.apache.commons.math.linear.DecompositionSolver

Solve the linear equation A × X = B for matrices A.

solve(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix

Deprecated.

as of release 2.0, replaced by DecompositionSolver.solve(RealMatrix)

solve(RealVector) - Method in interface org.apache.commons.math.linear.DecompositionSolver

Solve the linear equation A × X = B for matrices A.

solve(T[]) - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver

Solve the linear equation A × X = B for matrices A.

solve2(double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver

Deprecated.

replaced by MullerSolver.solve2(UnivariateRealFunction, double, double) since 2.0

solve2(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver

Deprecated.

in 2.2 (to be removed in 3.0).

solveAll(double[], double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver

Deprecated.

in 2.2.

solveAll(Complex[], Complex) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver

Deprecated.

in 2.2.

solvePhase1(SimplexTableau) - Method in class org.apache.commons.math.optimization.linear.SimplexSolver

Solves Phase 1 of the Simplex method.

SparseEntryIterator() - Constructor for class org.apache.commons.math.linear.AbstractRealVector.SparseEntryIterator

Simple constructor.

SparseFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math.linear

Sparse matrix implementation based on an open addressed map.

SparseFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math.linear.SparseFieldMatrix

Creates a matrix with no data.

SparseFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.SparseFieldMatrix

Create a new SparseFieldMatrix with the supplied row and column dimensions.

SparseFieldMatrix(FieldMatrix<T>) - Constructor for class org.apache.commons.math.linear.SparseFieldMatrix

Generic copy constructor.

SparseFieldMatrix(SparseFieldMatrix<T>) - Constructor for class org.apache.commons.math.linear.SparseFieldMatrix

Copy constructor.

SparseFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math.linear

This class implements the FieldVector interface with a OpenIntToFieldHashMap backing store.

SparseFieldVector(Field<T>) - Constructor for class org.apache.commons.math.linear.SparseFieldVector

Build a 0-length vector.

SparseFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math.linear.SparseFieldVector

Construct a (dimension)-length vector of zeros.

SparseFieldVector(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.SparseFieldVector

Build a vector with known the sparseness (for advanced use only).

SparseFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math.linear.SparseFieldVector

Create from a Field array.

SparseFieldVector(SparseFieldVector<T>) - Constructor for class org.apache.commons.math.linear.SparseFieldVector

Copy constructor.

SparseFieldVector(SparseFieldVector<T>, int) - Constructor for class org.apache.commons.math.linear.SparseFieldVector

Build a resized vector, for use with append.

sparseIterator() - Method in class org.apache.commons.math.linear.AbstractRealVector

Specialized implementations may choose to not iterate over all dimensions, either because those values are unset, or are equal to defaultValue(), or are small enough to be ignored for the purposes of iteration.

sparseIterator() - Method in class org.apache.commons.math.linear.OpenMapRealVector

Specialized implementations may choose to not iterate over all dimensions, either because those values are unset, or are equal to defaultValue(), or are small enough to be ignored for the purposes of iteration.

sparseIterator() - Method in interface org.apache.commons.math.linear.RealVector

Specialized implementations may choose to not iterate over all dimensions, either because those values are unset, or are equal to defaultValue(), or are small enough to be ignored for the purposes of iteration.

SparseRealMatrix - Interface in org.apache.commons.math.linear

Marker interface for RealMatrix implementations that require sparse backing storage

SparseRealVector - Interface in org.apache.commons.math.linear

Marker interface for RealVectors that require sparse backing storage

SpearmansCorrelation - Class in org.apache.commons.math.stat.correlation

Spearman's rank correlation.

SpearmansCorrelation() - Constructor for class org.apache.commons.math.stat.correlation.SpearmansCorrelation

Create a SpearmansCorrelation without data.

SpearmansCorrelation(RealMatrix) - Constructor for class org.apache.commons.math.stat.correlation.SpearmansCorrelation

Create a SpearmansCorrelation from the given data matrix.

SpearmansCorrelation(RealMatrix, RankingAlgorithm) - Constructor for class org.apache.commons.math.stat.correlation.SpearmansCorrelation

Create a SpearmansCorrelation with the given input data matrix and ranking algorithm.

SplineInterpolator - Class in org.apache.commons.math.analysis.interpolation

Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set.

SplineInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.SplineInterpolator

split(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath

Splits a Dfp into 2 Dfp's such that their sum is equal to the input Dfp.

split(DfpField, String) - Static method in class org.apache.commons.math.dfp.DfpMath

Breaks a string representation up into two dfp's.

splitDiv(Dfp[], Dfp[]) - Static method in class org.apache.commons.math.dfp.DfpMath

Divide two numbers that are split in to two pieces that are meant to be added together.

splitMult(Dfp[], Dfp[]) - Static method in class org.apache.commons.math.dfp.DfpMath

Multiply two numbers that are split in to two pieces that are meant to be added together.

splitPow(Dfp[], int) - Static method in class org.apache.commons.math.dfp.DfpMath

Raise a split base to the a power.

sqrt() - Method in class org.apache.commons.math.complex.Complex

Compute the square root of this complex number.

sqrt() - Method in class org.apache.commons.math.dfp.Dfp

Compute the square root.

sqrt(double) - Static method in class org.apache.commons.math.util.FastMath

Compute the square root of a number.

SQRT - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.sqrt method wrapped as a ComposableFunction.

sqrt1z() - Method in class org.apache.commons.math.complex.Complex

Compute the square root of 1 - this² for this complex number.

STANDARD_DEVIATION - org.apache.commons.math.exception.util.LocalizedFormats

StandardDeviation - Class in org.apache.commons.math.stat.descriptive.moment

Computes the sample standard deviation.

StandardDeviation() - Constructor for class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

Constructs a StandardDeviation.

StandardDeviation(boolean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

Contructs a StandardDeviation with the specified value for the isBiasCorrected property.

StandardDeviation(boolean, SecondMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

Contructs a StandardDeviation with the specified value for the isBiasCorrected property and the supplied external moment.

StandardDeviation(SecondMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

Constructs a StandardDeviation from an external second moment.

StandardDeviation(StandardDeviation) - Constructor for class org.apache.commons.math.stat.descriptive.moment.StandardDeviation

Copy constructor, creates a new StandardDeviation identical to the original

start() - Method in class org.apache.commons.math.util.ResizableDoubleArray

Returns the starting index of the internal array.

start(double, double[], double) - Method in class org.apache.commons.math.ode.MultistepIntegrator

Start the integration.

start(int, int, int, int, int, int) - Method in class org.apache.commons.math.linear.DefaultFieldMatrixChangingVisitor

Start visiting a matrix.

start(int, int, int, int, int, int) - Method in class org.apache.commons.math.linear.DefaultFieldMatrixPreservingVisitor

Start visiting a matrix.

start(int, int, int, int, int, int) - Method in class org.apache.commons.math.linear.DefaultRealMatrixChangingVisitor

Start visiting a matrix.

start(int, int, int, int, int, int) - Method in class org.apache.commons.math.linear.DefaultRealMatrixPreservingVisitor

Start visiting a matrix.

start(int, int, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrixChangingVisitor

Start visiting a matrix.

start(int, int, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrixPreservingVisitor

Start visiting a matrix.

start(int, int, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrixChangingVisitor

Start visiting a matrix.

start(int, int, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrixPreservingVisitor

Start visiting a matrix.

START_POSITION - org.apache.commons.math.exception.util.LocalizedFormats

startIndex - Variable in class org.apache.commons.math.util.ResizableDoubleArray

The position of the first addressable element in the internal storage array.

stateVariation - Variable in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator

State variation.

StatisticalMultivariateSummary - Interface in org.apache.commons.math.stat.descriptive

Reporting interface for basic multivariate statistics.

StatisticalSummary - Interface in org.apache.commons.math.stat.descriptive

Reporting interface for basic univariate statistics.

StatisticalSummaryValues - Class in org.apache.commons.math.stat.descriptive

Value object representing the results of a univariate statistical summary.

StatisticalSummaryValues(double, double, long, double, double, double) - Constructor for class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues

Constructor

StatUtils - Class in org.apache.commons.math.stat

StatUtils provides static methods for computing statistics based on data stored in double[] arrays.

stepAccepted(double, double[]) - Method in class org.apache.commons.math.ode.events.CombinedEventsManager

Deprecated.

Inform the event handlers that the step has been accepted by the integrator.

stepAccepted(double, double[]) - Method in class org.apache.commons.math.ode.events.EventState

Acknowledge the fact the step has been accepted by the integrator.

StepHandler - Interface in org.apache.commons.math.ode.sampling

This interface represents a handler that should be called after each successful step.

stepHandlers - Variable in class org.apache.commons.math.ode.AbstractIntegrator

Step handler.

StepHandlerWithJacobians - Interface in org.apache.commons.math.ode.jacobians

Deprecated.

as of 2.2 the complete package is deprecated, it will be replaced in 3.0 by a completely rewritten implementation

StepInterpolator - Interface in org.apache.commons.math.ode.sampling

This interface represents an interpolator over the last step during an ODE integration.

StepInterpolatorWithJacobians - Interface in org.apache.commons.math.ode.jacobians

Deprecated.

as of 2.2 the complete package is deprecated, it will be replaced in 3.0 by a completely rewritten implementation

StepNormalizer - Class in org.apache.commons.math.ode.sampling

This class wraps an object implementing FixedStepHandler into a StepHandler.

StepNormalizer(double, FixedStepHandler) - Constructor for class org.apache.commons.math.ode.sampling.StepNormalizer

Simple constructor.

stepSize - Variable in class org.apache.commons.math.ode.AbstractIntegrator

Current stepsize.

stepStart - Variable in class org.apache.commons.math.ode.AbstractIntegrator

Current step start time.

stop() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager

Deprecated.

Check if the integration should be stopped at the end of the current step.

stop() - Method in class org.apache.commons.math.ode.events.EventState

Check if the integration should be stopped at the end of the current step.

STOP - Static variable in interface org.apache.commons.math.ode.events.EventHandler

Stop indicator.

STOP - Static variable in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians

Deprecated.

Stop indicator.

StoppingCondition - Interface in org.apache.commons.math.genetics

Algorithm used to determine when to stop evolution.

StorelessUnivariateStatistic - Interface in org.apache.commons.math.stat.descriptive

Extends the definition of UnivariateStatistic with StorelessUnivariateStatistic.increment(double) and StorelessUnivariateStatistic.incrementAll(double[]) methods for adding values and updating internal state.

storeTime(double) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Store the current step time.

subAndCheck(int, int) - Static method in class org.apache.commons.math.util.MathUtils

Subtract two integers, checking for overflow.

subAndCheck(long, long) - Static method in class org.apache.commons.math.util.MathUtils

Subtract two long integers, checking for overflow.

SUBARRAY_ENDS_AFTER_ARRAY_END - org.apache.commons.math.exception.util.LocalizedFormats

substituteMostRecentElement(double) - Method in class org.apache.commons.math.util.ResizableDoubleArray

Substitutes value for the most recently added value.

subtract(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector

Subtract v from this vector.

subtract(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector

Subtract v from this vector.

subtract(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Subtract v from this vector.

subtract(double[]) - Method in interface org.apache.commons.math.linear.RealVector

Subtract v from this vector.

subtract(double, Vector3D) - Method in class org.apache.commons.math.geometry.Vector3D

Subtract a scaled vector from the instance.

subtract(int) - Method in class org.apache.commons.math.fraction.BigFraction

Subtracts the value of an integer from the value of this one, returning the result in reduced form.

subtract(int) - Method in class org.apache.commons.math.fraction.Fraction

Subtract an integer from the fraction.

subtract(long) - Method in class org.apache.commons.math.fraction.BigFraction

Subtracts the value of an integer from the value of this one, returning the result in reduced form.

subtract(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction

Subtracts the value of an BigInteger from the value of this one, returning the result in reduced form.

subtract(PolynomialFunction) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction

Subtract a polynomial from the instance.

subtract(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction

Return a function subtracting another function from the instance.

subtract(Complex) - Method in class org.apache.commons.math.complex.Complex

Return the difference between this complex number and the given complex number.

subtract(Dfp) - Method in class org.apache.commons.math.dfp.Dfp

Subtract x from this.

subtract(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction

Subtracts the value of another fraction from the value of this one, returning the result in reduced form.

subtract(Fraction) - Method in class org.apache.commons.math.fraction.Fraction

Subtracts the value of another fraction from the value of this one, returning the result in reduced form.

subtract(Vector3D) - Method in class org.apache.commons.math.geometry.Vector3D

Subtract a vector from the instance.

subtract(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Compute this minus m.

subtract(Array2DRowRealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Compute this minus m.

subtract(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Compute this minus v.

subtract(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Compute this minus v.

subtract(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Compute this minus m.

subtract(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Compute this minus m.

subtract(BigMatrixImpl) - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Compute this minus m.

subtract(BlockFieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Compute this minus m.

subtract(BlockRealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Compute this minus m.

subtract(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Compute this minus m.

subtract(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Compute this minus m.

subtract(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Compute this minus m.

subtract(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Compute this minus m.

subtract(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Compute this minus v.

subtract(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector

Compute this minus v.

subtract(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector

Compute this minus v.

subtract(OpenMapRealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix

Compute this minus m.

subtract(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Optimized method to subtract OpenMapRealVectors.

subtract(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Compute this minus m.

subtract(RealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Compute this minus m.

subtract(RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Compute this minus m.

subtract(RealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix

Compute this minus m.

subtract(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix

Compute this minus m.

subtract(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Compute this minus m.

subtract(RealMatrixImpl) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Compute this minus m.

subtract(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector

Subtract v from this vector.

subtract(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector

Subtract v from this vector.

subtract(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector

Subtract v from this vector.

subtract(RealVector) - Method in interface org.apache.commons.math.linear.RealVector

Subtract v from this vector.

subtract(SparseFieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector

Optimized method to subtract SparseRealVectors.

subtract(BigReal) - Method in class org.apache.commons.math.util.BigReal

Compute this - a.

subtract(T) - Method in interface org.apache.commons.math.FieldElement

Compute this - a.

subtract(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector

Compute this minus v.

subtract(T[]) - Method in interface org.apache.commons.math.linear.FieldVector

Compute this minus v.

subtract(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector

Compute this minus v.

SUBTRACT - Static variable in class org.apache.commons.math.analysis.BinaryFunction

Deprecated.

The - operator method wrapped as a BinaryFunction.

sum - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics

sum of values that have been added

sum(double[]) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the sum of the values in the input array, or Double.NaN if the array is empty.

sum(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the sum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

Sum - Class in org.apache.commons.math.stat.descriptive.summary

Returns the sum of the available values.

Sum() - Constructor for class org.apache.commons.math.stat.descriptive.summary.Sum

Create a Sum instance

Sum(Sum) - Constructor for class org.apache.commons.math.stat.descriptive.summary.Sum

Copy constructor, creates a new Sum identical to the original

sumDifference(double[], double[]) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the sum of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]).

sumLog - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics

sumLog of values that have been added

sumLog(double[]) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the sum of the natural logs of the entries in the input array, or Double.NaN if the array is empty.

sumLog(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

SummaryStatistics - Class in org.apache.commons.math.stat.descriptive

Computes summary statistics for a stream of data values added using the addValue method.

SummaryStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.SummaryStatistics

Construct a SummaryStatistics instance

SummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.SummaryStatistics

A copy constructor.

SumOfLogs - Class in org.apache.commons.math.stat.descriptive.summary

Returns the sum of the natural logs for this collection of values.

SumOfLogs() - Constructor for class org.apache.commons.math.stat.descriptive.summary.SumOfLogs

Create a SumOfLogs instance

SumOfLogs(SumOfLogs) - Constructor for class org.apache.commons.math.stat.descriptive.summary.SumOfLogs

Copy constructor, creates a new SumOfLogs identical to the original

SumOfSquares - Class in org.apache.commons.math.stat.descriptive.summary

Returns the sum of the squares of the available values.

SumOfSquares() - Constructor for class org.apache.commons.math.stat.descriptive.summary.SumOfSquares

Create a SumOfSquares instance

SumOfSquares(SumOfSquares) - Constructor for class org.apache.commons.math.stat.descriptive.summary.SumOfSquares

Copy constructor, creates a new SumOfSquares identical to the original

sumsq - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics

sum of the square of each value that has been added

sumSq(double[]) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the sum of the squares of the entries in the input array, or Double.NaN if the array is empty.

sumSq(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

SynchronizedDescriptiveStatistics - Class in org.apache.commons.math.stat.descriptive

Implementation of DescriptiveStatistics that is safe to use in a multithreaded environment.

SynchronizedDescriptiveStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

Construct an instance with infinite window

SynchronizedDescriptiveStatistics(int) - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

Construct an instance with finite window

SynchronizedDescriptiveStatistics(SynchronizedDescriptiveStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

A copy constructor.

SynchronizedMultivariateSummaryStatistics - Class in org.apache.commons.math.stat.descriptive

Implementation of MultivariateSummaryStatistics that is safe to use in a multithreaded environment.

SynchronizedMultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Construct a SynchronizedMultivariateSummaryStatistics instance

SynchronizedSummaryStatistics - Class in org.apache.commons.math.stat.descriptive

Implementation of SummaryStatistics that is safe to use in a multithreaded environment.

SynchronizedSummaryStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Construct a SynchronizedSummaryStatistics instance

SynchronizedSummaryStatistics(SynchronizedSummaryStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

A copy constructor.

T

t(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils

t(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest

Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances.

t(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances.

t(double, double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils

t(double, double[]) - Method in interface org.apache.commons.math.stat.inference.TTest

Computes a t statistic given observed values and a comparison constant.

t(double, double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Computes a t statistic given observed values and a comparison constant.

t(double, double, double, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Computes t test statistic for 1-sample t-test.

t(double, double, double, double, double, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Computes t test statistic for 2-sample t-test.

t(double, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils

t(double, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest

Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu.

t(double, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu.

t(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils

t(StatisticalSummary, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest

Computes a 2-sample t statistic , comparing the means of the datasets described by two StatisticalSummary instances, without the assumption of equal subpopulation variances.

t(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Computes a 2-sample t statistic , comparing the means of the datasets described by two StatisticalSummary instances, without the assumption of equal subpopulation variances.

tan() - Method in class org.apache.commons.math.complex.Complex

Compute the tangent of this complex number.

tan(double) - Static method in class org.apache.commons.math.util.FastMath

Tangent function

tan(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath

computes the tangent of the argument.

TAN - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.tan method wrapped as a ComposableFunction.

tanh() - Method in class org.apache.commons.math.complex.Complex

Compute the hyperbolic tangent of this complex number.

tanh(double) - Static method in class org.apache.commons.math.util.FastMath

Compute the hyperbolic tangent of a number.

TANH - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.tanh method wrapped as a ComposableFunction.

targetValues - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Target value for the objective functions at optimum.

TDistribution - Interface in org.apache.commons.math.distribution

Student's t-Distribution.

TDistributionImpl - Class in org.apache.commons.math.distribution

Default implementation of TDistribution.

TDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.TDistributionImpl

Create a t distribution using the given degrees of freedom.

TDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.TDistributionImpl

Create a t distribution using the given degrees of freedom and the specified inverse cumulative probability absolute accuracy.

test(double[], double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic

This method is used by evaluate(double[], double[], int, int) methods to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.

test(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic

This method is used by evaluate(double[], int, int) methods to verify that the input parameters designate a subarray of positive length.

TestUtils - Class in org.apache.commons.math.stat.inference

A collection of static methods to create inference test instances or to perform inference tests.

TestUtils() - Constructor for class org.apache.commons.math.stat.inference.TestUtils

Prevent instantiation.

ThirdMoment - Class in org.apache.commons.math.stat.descriptive.moment

Computes a statistic related to the Third Central Moment.

ThirdMoment() - Constructor for class org.apache.commons.math.stat.descriptive.moment.ThirdMoment

Create a FourthMoment instance

ThirdMoment(ThirdMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.ThirdMoment

Copy constructor, creates a new ThirdMoment identical to the original

THREE_FIFTHS - Static variable in class org.apache.commons.math.fraction.BigFraction

A fraction representing "3/5".

THREE_FIFTHS - Static variable in class org.apache.commons.math.fraction.Fraction

A fraction representing "3/5".

THREE_QUARTERS - Static variable in class org.apache.commons.math.fraction.BigFraction

A fraction representing "3/4".

THREE_QUARTERS - Static variable in class org.apache.commons.math.fraction.Fraction

A fraction representing "3/4".

ThreeEighthesIntegrator - Class in org.apache.commons.math.ode.nonstiff

This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations.

ThreeEighthesIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.ThreeEighthesIntegrator

Simple constructor.

TiesStrategy - Enum in org.apache.commons.math.stat.ranking

Strategies for handling tied values in rank transformations.

toArray() - Method in class org.apache.commons.math.linear.AbstractRealVector

Convert the vector to a double array.

toArray() - Method in class org.apache.commons.math.linear.ArrayFieldVector

Convert the vector to a T array.

toArray() - Method in class org.apache.commons.math.linear.ArrayRealVector

Convert the vector to a double array.

toArray() - Method in interface org.apache.commons.math.linear.FieldVector

Convert the vector to a T array.

toArray() - Method in class org.apache.commons.math.linear.OpenMapRealVector

Convert the vector to a double array.

toArray() - Method in interface org.apache.commons.math.linear.RealVector

Convert the vector to a double array.

toArray() - Method in class org.apache.commons.math.linear.SparseFieldVector

Convert the vector to a T array.

toBlocksLayout(double[][]) - Static method in class org.apache.commons.math.linear.BlockRealMatrix

Convert a data array from raw layout to blocks layout.

toBlocksLayout(T[][]) - Static method in class org.apache.commons.math.linear.BlockFieldMatrix

Convert a data array from raw layout to blocks layout.

toDegrees(double) - Static method in class org.apache.commons.math.util.FastMath

Convert radians to degrees, with error of less than 0.5 ULP

toDouble() - Method in class org.apache.commons.math.dfp.Dfp

Convert the instance into a double.

TOO_LARGE_CUTOFF_SINGULAR_VALUE - org.apache.commons.math.exception.util.LocalizedFormats

TOO_MANY_ELEMENTS_TO_DISCARD_FROM_ARRAY - org.apache.commons.math.exception.util.LocalizedFormats

TOO_SMALL_BANDWIDTH - org.apache.commons.math.exception.util.LocalizedFormats

TOO_SMALL_COST_RELATIVE_TOLERANCE - org.apache.commons.math.exception.util.LocalizedFormats

TOO_SMALL_INTEGRATION_INTERVAL - org.apache.commons.math.exception.util.LocalizedFormats

TOO_SMALL_ORTHOGONALITY_TOLERANCE - org.apache.commons.math.exception.util.LocalizedFormats

TOO_SMALL_PARAMETERS_RELATIVE_TOLERANCE - org.apache.commons.math.exception.util.LocalizedFormats

toRadians(double) - Static method in class org.apache.commons.math.util.FastMath

Convert degrees to radians, with error of less than 0.5 ULP

toSplitDouble() - Method in class org.apache.commons.math.dfp.Dfp

Convert the instance into a split double.

toString() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction

Returns a string representation of the polynomial.

toString() - Method in class org.apache.commons.math.dfp.Dfp

Get a string representation of the instance.

toString() - Method in class org.apache.commons.math.exception.util.DummyLocalizable

toString() - Method in class org.apache.commons.math.fraction.BigFraction

Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one.

toString() - Method in class org.apache.commons.math.fraction.Fraction

Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one.

toString() - Method in class org.apache.commons.math.genetics.AbstractListChromosome

toString() - Method in class org.apache.commons.math.genetics.ChromosomePair

toString() - Method in class org.apache.commons.math.genetics.ListPopulation

toString() - Method in class org.apache.commons.math.genetics.RandomKey

toString() - Method in class org.apache.commons.math.geometry.RotationOrder

Get a string representation of the instance.

toString() - Method in class org.apache.commons.math.geometry.Vector3D

Get a string representation of this vector.

toString() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Get a string representation for this matrix.

toString() - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Get a string representation for this matrix.

toString() - Method in class org.apache.commons.math.linear.ArrayRealVector

toString() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Get a string representation for this matrix.

toString() - Method in enum org.apache.commons.math.optimization.linear.Relationship

toString() - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint

toString() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

Generates a text report displaying univariate statistics from values that have been added.

toString() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

Generates a text report displaying summary statistics from values that have been added.

toString() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues

Generates a text report displaying values of statistics.

toString() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics

Generates a text report displaying summary statistics from values that have been added.

toString() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

Generates a text report displaying univariate statistics from values that have been added.

toString() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Generates a text report displaying summary statistics from values that have been added.

toString() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics

Generates a text report displaying summary statistics from values that have been added.

toString() - Method in class org.apache.commons.math.stat.Frequency

Return a string representation of this frequency distribution.

toString() - Method in class org.apache.commons.math.util.MultidimensionalCounter

TournamentSelection - Class in org.apache.commons.math.genetics

Tournament selection scheme.

TournamentSelection(int) - Constructor for class org.apache.commons.math.genetics.TournamentSelection

Creates a new TournamentSelection instance.

transform(double[]) - Method in class org.apache.commons.math.transform.FastCosineTransformer

Transform the given real data set.

transform(double[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer

Transform the given real data set.

transform(double[]) - Method in class org.apache.commons.math.transform.FastHadamardTransformer

Transform the given real data set.

transform(double[]) - Method in class org.apache.commons.math.transform.FastSineTransformer

Transform the given real data set.

transform(double[]) - Method in interface org.apache.commons.math.transform.RealTransformer

Transform the given real data set.

transform(int[]) - Method in class org.apache.commons.math.transform.FastHadamardTransformer

Transform the given real data set.

transform(Object) - Method in class org.apache.commons.math.util.DefaultTransformer

transform(Object) - Method in interface org.apache.commons.math.util.NumberTransformer

Implementing this interface provides a facility to transform from Object to Double.

transform(Object) - Method in class org.apache.commons.math.util.TransformerMap

Attempts to transform the Object against the map of NumberTransformers.

transform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastCosineTransformer

Transform the given real function, sampled on the given interval.

transform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastFourierTransformer

Transform the given real function, sampled on the given interval.

transform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastHadamardTransformer

Transform the given real function, sampled on the given interval.

transform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastSineTransformer

Transform the given real function, sampled on the given interval.

transform(UnivariateRealFunction, double, double, int) - Method in interface org.apache.commons.math.transform.RealTransformer

Transform the given real function, sampled on the given interval.

transform(Complex[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer

Transform the given complex data set.

transform2(double[]) - Method in class org.apache.commons.math.transform.FastCosineTransformer

Transform the given real data set.

transform2(double[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer

Transform the given real data set.

transform2(double[]) - Method in class org.apache.commons.math.transform.FastSineTransformer

Transform the given real data set.

transform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastCosineTransformer

Transform the given real function, sampled on the given interval.

transform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastFourierTransformer

Transform the given real function, sampled on the given interval.

transform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastSineTransformer

Transform the given real function, sampled on the given interval.

transform2(Complex[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer

Transform the given complex data set.

TransformerMap - Class in org.apache.commons.math.util

This TansformerMap automates the transformation of mixed object types.

TransformerMap() - Constructor for class org.apache.commons.math.util.TransformerMap

Build a map containing only the default transformer.

transformers() - Method in class org.apache.commons.math.util.TransformerMap

Returns the Set of NumberTransformers used as values in the map.

transpose() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Returns the transpose of this matrix.

transpose() - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Returns the transpose of this matrix.

transpose() - Method in interface org.apache.commons.math.linear.BigMatrix

Deprecated.

Returns the transpose of this matrix.

transpose() - Method in class org.apache.commons.math.linear.BigMatrixImpl

Deprecated.

Returns the transpose matrix.

transpose() - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Returns the transpose of this matrix.

transpose() - Method in class org.apache.commons.math.linear.BlockRealMatrix

Returns the transpose of this matrix.

transpose() - Method in interface org.apache.commons.math.linear.FieldMatrix

Returns the transpose of this matrix.

transpose() - Method in interface org.apache.commons.math.linear.RealMatrix

Returns the transpose of this matrix.

trap(int, String, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math.dfp.Dfp

Trap handler.

TrapezoidIntegrator - Class in org.apache.commons.math.analysis.integration

Implements the Trapezoidal Rule for integration of real univariate functions.

TrapezoidIntegrator() - Constructor for class org.apache.commons.math.analysis.integration.TrapezoidIntegrator

Construct an integrator.

TrapezoidIntegrator(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.integration.TrapezoidIntegrator

Deprecated.

as of 2.0 the integrand function is passed as an argument to the TrapezoidIntegrator.integrate(UnivariateRealFunction, double, double)method.

TricubicSplineInterpolatingFunction - Class in org.apache.commons.math.analysis.interpolation

Function that implements the tricubic spline interpolation, as proposed in Tricubic interpolation in three dimensions
F.

TricubicSplineInterpolatingFunction(double[], double[], double[], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][]) - Constructor for class org.apache.commons.math.analysis.interpolation.TricubicSplineInterpolatingFunction

TricubicSplineInterpolator - Class in org.apache.commons.math.analysis.interpolation

Generates a tricubic interpolating function.

TricubicSplineInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.TricubicSplineInterpolator

trigamma(double) - Static method in class org.apache.commons.math.special.Gamma

Computes the trigamma function of x.

TrivariateRealFunction - Interface in org.apache.commons.math.analysis

An interface representing a trivariate real function.

TrivariateRealGridInterpolator - Interface in org.apache.commons.math.analysis.interpolation

Interface representing a trivariate real interpolating function where the sample points must be specified on a regular grid.

trunc(DfpField.RoundingMode) - Method in class org.apache.commons.math.dfp.Dfp

Does the integer conversions with the specified rounding.

tTest(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils

tTest(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest

Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays.

tTest(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays.

tTest(double[], double[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils

tTest(double[], double[], double) - Method in interface org.apache.commons.math.stat.inference.TTest

Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha.

tTest(double[], double[], double) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha.

tTest(double, double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils

tTest(double, double[]) - Method in interface org.apache.commons.math.stat.inference.TTest

Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant mu.

tTest(double, double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant mu.

tTest(double, double[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils

tTest(double, double[], double) - Method in interface org.apache.commons.math.stat.inference.TTest

Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which sample is drawn equals mu.

tTest(double, double[], double) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which sample is drawn equals mu.

tTest(double, double, double, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Computes p-value for 2-sided, 1-sample t-test.

tTest(double, double, double, double, double, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Computes p-value for 2-sided, 2-sample t-test.

tTest(double, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils

tTest(double, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest

Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by sampleStats with the constant mu.

tTest(double, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by sampleStats with the constant mu.

tTest(double, StatisticalSummary, double) - Static method in class org.apache.commons.math.stat.inference.TestUtils

tTest(double, StatisticalSummary, double) - Method in interface org.apache.commons.math.stat.inference.TTest

Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by stats is drawn equals mu.

tTest(double, StatisticalSummary, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by stats is drawn equals mu.

tTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils

tTest(StatisticalSummary, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest

Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances.

tTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances.

tTest(StatisticalSummary, StatisticalSummary, double) - Static method in class org.apache.commons.math.stat.inference.TestUtils

tTest(StatisticalSummary, StatisticalSummary, double) - Method in interface org.apache.commons.math.stat.inference.TTest

Performs a two-sided t-test evaluating the null hypothesis that sampleStats1 and sampleStats2 describe datasets drawn from populations with the same mean, with significance level alpha.

tTest(StatisticalSummary, StatisticalSummary, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl

Performs a two-sided t-test evaluating the null hypothesis that sampleStats1 and sampleStats2 describe datasets drawn from populations with the same mean, with significance level alpha.

TTest - Interface in org.apache.commons.math.stat.inference

An interface for Student's t-tests.

TTestImpl - Class in org.apache.commons.math.stat.inference

Implements t-test statistics defined in the TTest interface.

TTestImpl() - Constructor for class org.apache.commons.math.stat.inference.TTestImpl

Default constructor.

TTestImpl(TDistribution) - Constructor for class org.apache.commons.math.stat.inference.TTestImpl

Deprecated.

in 2.2 (to be removed in 3.0).

TWO - Static variable in class org.apache.commons.math.fraction.BigFraction

A fraction representing "2 / 1".

TWO - Static variable in class org.apache.commons.math.fraction.Fraction

A fraction representing "2 / 1".

TWO_FIFTHS - Static variable in class org.apache.commons.math.fraction.BigFraction

A fraction representing "2/5".

TWO_FIFTHS - Static variable in class org.apache.commons.math.fraction.Fraction

A fraction representing "2/5".

TWO_OR_MORE_CATEGORIES_REQUIRED - org.apache.commons.math.exception.util.LocalizedFormats

TWO_OR_MORE_VALUES_IN_CATEGORY_REQUIRED - org.apache.commons.math.exception.util.LocalizedFormats

TWO_PI - Static variable in class org.apache.commons.math.util.MathUtils

2 π.

TWO_QUARTERS - Static variable in class org.apache.commons.math.fraction.BigFraction

A fraction representing "2/4".

TWO_QUARTERS - Static variable in class org.apache.commons.math.fraction.Fraction

A fraction representing "2/4".

TWO_THIRDS - Static variable in class org.apache.commons.math.fraction.BigFraction

A fraction representing "2/3".

TWO_THIRDS - Static variable in class org.apache.commons.math.fraction.Fraction

A fraction representing "2/3".

U

ulp(double) - Static method in class org.apache.commons.math.util.FastMath

Compute least significant bit (Unit in Last Position) for a number.

ulp(float) - Static method in class org.apache.commons.math.util.FastMath

Compute least significant bit (Unit in Last Position) for a number.

ULP - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The FastMath.ulp method wrapped as a ComposableFunction.

UNABLE_TO_BRACKET_OPTIMUM_IN_LINE_SEARCH - org.apache.commons.math.exception.util.LocalizedFormats

UNABLE_TO_COMPUTE_COVARIANCE_SINGULAR_PROBLEM - org.apache.commons.math.exception.util.LocalizedFormats

UNABLE_TO_FIRST_GUESS_HARMONIC_COEFFICIENTS - org.apache.commons.math.exception.util.LocalizedFormats

UNABLE_TO_ORTHOGONOLIZE_MATRIX - org.apache.commons.math.exception.util.LocalizedFormats

UNABLE_TO_PERFORM_QR_DECOMPOSITION_ON_JACOBIAN - org.apache.commons.math.exception.util.LocalizedFormats

UNABLE_TO_SOLVE_SINGULAR_PROBLEM - org.apache.commons.math.exception.util.LocalizedFormats

UNBOUNDED_SOLUTION - org.apache.commons.math.exception.util.LocalizedFormats

UnboundedSolutionException - Exception in org.apache.commons.math.optimization.linear

This class represents exceptions thrown by optimizers when a solution escapes to infinity.

UnboundedSolutionException() - Constructor for exception org.apache.commons.math.optimization.linear.UnboundedSolutionException

Simple constructor using a default message.

UncorrelatedRandomVectorGenerator - Class in org.apache.commons.math.random

A RandomVectorGenerator that generates vectors with uncorrelated components.

UncorrelatedRandomVectorGenerator(double[], double[], NormalizedRandomGenerator) - Constructor for class org.apache.commons.math.random.UncorrelatedRandomVectorGenerator

Simple constructor.

UncorrelatedRandomVectorGenerator(int, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math.random.UncorrelatedRandomVectorGenerator

Simple constructor.

unequal(Dfp) - Method in class org.apache.commons.math.dfp.Dfp

Check if instance is not equal to x.

UNIFORM_MODE - Static variable in class org.apache.commons.math.random.ValueServer

Uniform random deviates with mean = μ.

UniformRandomGenerator - Class in org.apache.commons.math.random

This class implements a normalized uniform random generator.

UniformRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math.random.UniformRandomGenerator

Create a new generator.

unitize() - Method in class org.apache.commons.math.linear.AbstractRealVector

Converts this vector into a unit vector.

unitize() - Method in class org.apache.commons.math.linear.ArrayRealVector

Converts this vector into a unit vector.

unitize() - Method in class org.apache.commons.math.linear.OpenMapRealVector

Converts this vector into a unit vector.

unitize() - Method in interface org.apache.commons.math.linear.RealVector

Converts this vector into a unit vector.

UnitSphereRandomVectorGenerator - Class in org.apache.commons.math.random

Generate random vectors isotropically located on the surface of a sphere.

UnitSphereRandomVectorGenerator(int) - Constructor for class org.apache.commons.math.random.UnitSphereRandomVectorGenerator

Create an object that will use a default RNG (MersenneTwister), in order to generate the individual components.

UnitSphereRandomVectorGenerator(int, RandomGenerator) - Constructor for class org.apache.commons.math.random.UnitSphereRandomVectorGenerator

unitVector() - Method in class org.apache.commons.math.linear.AbstractRealVector

Creates a unit vector pointing in the direction of this vector.

unitVector() - Method in class org.apache.commons.math.linear.ArrayRealVector

Creates a unit vector pointing in the direction of this vector.

unitVector() - Method in class org.apache.commons.math.linear.OpenMapRealVector

Creates a unit vector pointing in the direction of this vector.

unitVector() - Method in interface org.apache.commons.math.linear.RealVector

Creates a unit vector pointing in the direction of this vector.

UnivariateMatrixFunction - Interface in org.apache.commons.math.analysis

An interface representing a univariate matrix function.

UnivariateRealFunction - Interface in org.apache.commons.math.analysis

An interface representing a univariate real function.

UnivariateRealIntegrator - Interface in org.apache.commons.math.analysis.integration

Interface for univariate real integration algorithms.

UnivariateRealIntegratorImpl - Class in org.apache.commons.math.analysis.integration

Provide a default implementation for several generic functions.

UnivariateRealIntegratorImpl(int) - Constructor for class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl

Construct an integrator with given iteration count and accuracy.

UnivariateRealIntegratorImpl(UnivariateRealFunction, int) - Constructor for class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl

Deprecated.

as of 2.0 the integrand function is passed as an argument to the UnivariateRealIntegrator.integrate(UnivariateRealFunction, double, double)method.

UnivariateRealInterpolator - Interface in org.apache.commons.math.analysis.interpolation

Interface representing a univariate real interpolating function.

UnivariateRealOptimizer - Interface in org.apache.commons.math.optimization

Interface for (univariate real) optimization algorithms.

UnivariateRealSolver - Interface in org.apache.commons.math.analysis.solvers

Interface for (univariate real) rootfinding algorithms.

UnivariateRealSolverFactory - Class in org.apache.commons.math.analysis.solvers

Abstract factory class used to create UnivariateRealSolver instances.

UnivariateRealSolverFactory() - Constructor for class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory

Default constructor.

UnivariateRealSolverFactoryImpl - Class in org.apache.commons.math.analysis.solvers

A concrete UnivariateRealSolverFactory.

UnivariateRealSolverFactoryImpl() - Constructor for class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl

Default constructor.

UnivariateRealSolverImpl - Class in org.apache.commons.math.analysis.solvers

Deprecated.

in 2.2 (to be removed in 3.0).

UnivariateRealSolverImpl(int, double) - Constructor for class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Construct a solver with given iteration count and accuracy.

UnivariateRealSolverImpl(UnivariateRealFunction, int, double) - Constructor for class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

as of 2.0 the function to solve is passed as an argument to the UnivariateRealSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.

UnivariateRealSolverUtils - Class in org.apache.commons.math.analysis.solvers

Utility routines for UnivariateRealSolver objects.

UnivariateStatistic - Interface in org.apache.commons.math.stat.descriptive

Base interface implemented by all statistics.

UnivariateVectorialFunction - Interface in org.apache.commons.math.analysis

An interface representing a univariate vectorial function.

UNKNOWN_MODE - org.apache.commons.math.exception.util.LocalizedFormats

UnknownDistributionChiSquareTest - Interface in org.apache.commons.math.stat.inference

An interface for Chi-Square tests for unknown distributions.

UNPARSEABLE_3D_VECTOR - org.apache.commons.math.exception.util.LocalizedFormats

UNPARSEABLE_COMPLEX_NUMBER - org.apache.commons.math.exception.util.LocalizedFormats

UNPARSEABLE_FRACTION_NUMBER - org.apache.commons.math.exception.util.LocalizedFormats

UNPARSEABLE_REAL_VECTOR - org.apache.commons.math.exception.util.LocalizedFormats

UNSUPPORTED_EXPANSION_MODE - org.apache.commons.math.exception.util.LocalizedFormats

UNSUPPORTED_OPERATION - org.apache.commons.math.exception.util.LocalizedFormats

updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math.ode.nonstiff.AdamsIntegrator

Update the high order scaled derivatives for Adams integrators (phase 1).

updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer

Update the high order scaled derivatives for Adams integrators (phase 1).

updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math.ode.nonstiff.AdamsIntegrator

Update the high order scaled derivatives Adams integrators (phase 2).

updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer

Update the high order scaled derivatives Adams integrators (phase 2).

updateJacobian() - Method in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Update the jacobian matrix.

updateJacobian() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Update the jacobian matrix.

updateResidualsAndCost() - Method in class org.apache.commons.math.estimation.AbstractEstimator

Deprecated.

Update the residuals array and cost function value.

updateResidualsAndCost() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Update the residuals array and cost function value.

upperCumulativeProbability(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl

For this distribution, X, this method returns P(X ≥ x).

UPSIDE - org.apache.commons.math.stat.descriptive.moment.SemiVariance.Direction

The UPSIDE Direction is used to specify that the observations above the cutoff point will be used to calculate SemiVariance

UPSIDE_VARIANCE - Static variable in class org.apache.commons.math.stat.descriptive.moment.SemiVariance

The UPSIDE Direction is used to specify that the observations above the cutoff point will be used to calculate SemiVariance.

URL_CONTAINS_NO_DATA - org.apache.commons.math.exception.util.LocalizedFormats

USER_EXCEPTION - org.apache.commons.math.exception.util.LocalizedFormats

V

v - Variable in class org.apache.commons.math.random.AbstractWell

Bytes pool.

validateCovarianceData(double[][], double[][]) - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Validates that the x data and covariance matrix have the same number of rows and that the covariance matrix is square.

validateSampleData(double[][], double[]) - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Validates sample data.

value() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator

Get the value of current entry.

value() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator

Get the value of current entry.

value(double) - Method in class org.apache.commons.math.analysis.ComposableFunction

Compute the value for the function.

value(double) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction

Compute the value of the function for the given argument.

value(double) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm

Compute the value for the function.

value(double) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm

Calculate the function value at the given point.

value(double) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction

Compute the value for the function.

value(double) - Method in interface org.apache.commons.math.analysis.UnivariateMatrixFunction

Compute the value for the function.

value(double) - Method in interface org.apache.commons.math.analysis.UnivariateRealFunction

Compute the value for the function.

value(double) - Method in interface org.apache.commons.math.analysis.UnivariateVectorialFunction

Compute the value for the function.

value(double) - Method in class org.apache.commons.math.optimization.fitting.GaussianDerivativeFunction

Compute the value for the function.

value(double) - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction

Compute the value for the function.

value(double) - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction

Compute the value for the function.

value(double[]) - Method in class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolatingFunction

value(double[]) - Method in interface org.apache.commons.math.analysis.MultivariateMatrixFunction

Compute the value for the function at the given point.

value(double[]) - Method in interface org.apache.commons.math.analysis.MultivariateRealFunction

Compute the value for the function at the given point.

value(double[]) - Method in interface org.apache.commons.math.analysis.MultivariateVectorialFunction

Compute the value for the function at the given point.

value(double[]) - Method in class org.apache.commons.math.optimization.LeastSquaresConverter

Compute the value for the function at the given point.

value(double, double) - Method in class org.apache.commons.math.analysis.BinaryFunction

Deprecated.

Compute the value for the function.

value(double, double) - Method in interface org.apache.commons.math.analysis.BivariateRealFunction

Compute the value for the function.

value(double, double) - Method in class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction

Compute the value for the function.

value(double, double[]) - Method in class org.apache.commons.math.optimization.fitting.ParametricGaussianFunction

Computes value of function f(x) for the specified x and parameters a, b, c, and d.

value(double, double[]) - Method in interface org.apache.commons.math.optimization.fitting.ParametricRealFunction

Compute the value of the function.

value(double, double, double) - Method in class org.apache.commons.math.analysis.interpolation.TricubicSplineInterpolatingFunction

Compute the value for the function.

value(double, double, double) - Method in interface org.apache.commons.math.analysis.TrivariateRealFunction

Compute the value for the function.

valueOf(String) - Static method in enum org.apache.commons.math.dfp.DfpField.RoundingMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math.exception.util.LocalizedFormats

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math.optimization.general.ConjugateGradientFormula

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math.optimization.GoalType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math.optimization.linear.Relationship

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math.stat.descriptive.moment.SemiVariance.Direction

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math.stat.ranking.NaNStrategy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math.stat.ranking.TiesStrategy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math.util.MathUtils.OrderDirection

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.apache.commons.math.dfp.DfpField.RoundingMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math.exception.util.LocalizedFormats

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math.optimization.general.ConjugateGradientFormula

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math.optimization.GoalType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math.optimization.linear.Relationship

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math.stat.descriptive.moment.SemiVariance.Direction

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math.stat.ranking.NaNStrategy

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math.stat.ranking.TiesStrategy

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math.util.MathUtils.OrderDirection

Returns an array containing the constants of this enum type, in the order they are declared.

VALUES_ADDED_BEFORE_CONFIGURING_STATISTIC - org.apache.commons.math.exception.util.LocalizedFormats

ValueServer - Class in org.apache.commons.math.random

Generates values for use in simulation applications.

ValueServer() - Constructor for class org.apache.commons.math.random.ValueServer

Creates new ValueServer

ValueServer(RandomData) - Constructor for class org.apache.commons.math.random.ValueServer

Construct a ValueServer instance using a RandomData as its source of random data.

valuesIterator() - Method in class org.apache.commons.math.stat.Frequency

Returns an Iterator over the set of values that have been added.

variance - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics

variance of values that have been added

variance(double[]) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the variance of the entries in the input array, or Double.NaN if the array is empty.

variance(double[], double) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the variance of the entries in the input array, using the precomputed mean value.

variance(double[], double, int, int) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.

variance(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

Variance - Class in org.apache.commons.math.stat.descriptive.moment

Computes the variance of the available values.

Variance() - Constructor for class org.apache.commons.math.stat.descriptive.moment.Variance

Constructs a Variance with default (true) isBiasCorrected property.

Variance(boolean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Variance

Constructs a Variance with the specified isBiasCorrected property

Variance(boolean, SecondMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Variance

Constructs a Variance with the specified isBiasCorrected property and the supplied external second moment.

Variance(SecondMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Variance

Constructs a Variance based on an external second moment.

Variance(Variance) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Variance

Copy constructor, creates a new Variance identical to the original

varianceDifference(double[], double[], double) - Static method in class org.apache.commons.math.stat.StatUtils

Returns the variance of the (signed) differences between corresponding elements of the input arrays -- i.e., var(sample1[i] - sample2[i]).

vecAbsoluteTolerance - Variable in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Allowed absolute vectorial error.

vecRelativeTolerance - Variable in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator

Allowed relative vectorial error.

VECTOR_LENGTH_MISMATCH - org.apache.commons.math.exception.util.LocalizedFormats

VECTOR_MUST_HAVE_AT_LEAST_ONE_ELEMENT - org.apache.commons.math.exception.util.LocalizedFormats

Vector3D - Class in org.apache.commons.math.geometry

This class implements vectors in a three-dimensional space.

Vector3D(double, double) - Constructor for class org.apache.commons.math.geometry.Vector3D

Simple constructor.

Vector3D(double, double, double) - Constructor for class org.apache.commons.math.geometry.Vector3D

Simple constructor.

Vector3D(double, Vector3D) - Constructor for class org.apache.commons.math.geometry.Vector3D

Multiplicative constructor Build a vector from another one and a scale factor.

Vector3D(double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math.geometry.Vector3D

Linear constructor Build a vector from two other ones and corresponding scale factors.

Vector3D(double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math.geometry.Vector3D

Linear constructor Build a vector from three other ones and corresponding scale factors.

Vector3D(double, Vector3D, double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math.geometry.Vector3D

Linear constructor Build a vector from four other ones and corresponding scale factors.

Vector3DFormat - Class in org.apache.commons.math.geometry

Formats a 3D vector in components list format "{x; y; z}".

Vector3DFormat() - Constructor for class org.apache.commons.math.geometry.Vector3DFormat

Create an instance with default settings.

Vector3DFormat(String, String, String) - Constructor for class org.apache.commons.math.geometry.Vector3DFormat

Create an instance with custom prefix, suffix and separator.

Vector3DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math.geometry.Vector3DFormat

Create an instance with custom prefix, suffix, separator and format for components.

Vector3DFormat(NumberFormat) - Constructor for class org.apache.commons.math.geometry.Vector3DFormat

Create an instance with a custom number format for components.

VectorialConvergenceChecker - Interface in org.apache.commons.math.optimization

This interface specifies how to check if a optimization algorithm has converged.

VectorialCovariance - Class in org.apache.commons.math.stat.descriptive.moment

Returns the covariance matrix of the available vectors.

VectorialCovariance(int, boolean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance

Constructs a VectorialCovariance.

VectorialMean - Class in org.apache.commons.math.stat.descriptive.moment

Returns the arithmetic mean of the available vectors.

VectorialMean(int) - Constructor for class org.apache.commons.math.stat.descriptive.moment.VectorialMean

Constructs a VectorialMean.

VectorialPointValuePair - Class in org.apache.commons.math.optimization

This class holds a point and the vectorial value of an objective function at this point.

VectorialPointValuePair(double[], double[]) - Constructor for class org.apache.commons.math.optimization.VectorialPointValuePair

Build a point/objective function value pair.

VectorialPointValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math.optimization.VectorialPointValuePair

Build a point/objective function value pair.

verifyBracketing(double, double, UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Verifies that the endpoints specify an interval and the function takes opposite signs at the endpoints, throws IllegalArgumentException if not

verifyDataSet(double[]) - Static method in class org.apache.commons.math.transform.FastFourierTransformer

Verifies that the data set has length of power of 2.

verifyDataSet(Object[]) - Static method in class org.apache.commons.math.transform.FastFourierTransformer

Verifies that the data set has length of power of 2.

verifyInputArray(double[], double[]) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm

Verifies that the input arrays are valid.

verifyInterpolationArray(double[], double[]) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm

Verifies that the interpolation arrays are valid.

verifyInterval(double, double) - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl

Verifies that the endpoints specify an interval.

verifyInterval(double, double) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Verifies that the endpoints specify an interval, throws IllegalArgumentException if not

verifyInterval(double, double) - Static method in class org.apache.commons.math.transform.FastFourierTransformer

Verifies that the endpoints specify an interval.

verifyIterationCount() - Method in class org.apache.commons.math.analysis.integration.RombergIntegrator

Verifies that the upper and lower limits of iterations are valid.

verifyIterationCount() - Method in class org.apache.commons.math.analysis.integration.SimpsonIntegrator

Verifies that the upper and lower limits of iterations are valid.

verifyIterationCount() - Method in class org.apache.commons.math.analysis.integration.TrapezoidIntegrator

Verifies that the upper and lower limits of iterations are valid.

verifyIterationCount() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl

Verifies that the upper and lower limits of iterations are valid.

verifySequence(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl

Deprecated.

Verifies that lower < initial < upper throws IllegalArgumentException if not

visit(int, int, double) - Method in class org.apache.commons.math.linear.DefaultRealMatrixChangingVisitor

Visit one matrix entry.

visit(int, int, double) - Method in class org.apache.commons.math.linear.DefaultRealMatrixPreservingVisitor

Visit one matrix entry.

visit(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrixChangingVisitor

Visit one matrix entry.

visit(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrixPreservingVisitor

Visit one matrix entry.

visit(int, int, T) - Method in class org.apache.commons.math.linear.DefaultFieldMatrixChangingVisitor

Visit one matrix entry.

visit(int, int, T) - Method in class org.apache.commons.math.linear.DefaultFieldMatrixPreservingVisitor

Visit one matrix entry.

visit(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrixChangingVisitor

Visit one matrix entry.

visit(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrixPreservingVisitor

Visit one matrix entry.

W

walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Visit (and possibly change) all matrix entries in column order.

walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Visit (and possibly change) all matrix entries in column order.

walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Visit (and possibly change) all matrix entries in column order.

walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Visit (and possibly change) some matrix entries in column order.

walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Visit (and possibly change) some matrix entries in column order.

walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Visit (and possibly change) some matrix entries in column order.

walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Visit (but don't change) all matrix entries in column order.

walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Visit (but don't change) all matrix entries in column order.

walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Visit (but don't change) all matrix entries in column order.

walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Visit (but don't change) some matrix entries in column order.

walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Visit (but don't change) some matrix entries in column order.

walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Visit (but don't change) some matrix entries in column order.

walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Visit (and possibly change) all matrix entries in column order.

walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Visit (and possibly change) all matrix entries in column order.

walkInColumnOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix

Visit (and possibly change) all matrix entries in column order.

walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Visit (and possibly change) all matrix entries in column order.

walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Visit (and possibly change) some matrix entries in column order.

walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Visit (and possibly change) some matrix entries in column order.

walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix

Visit (and possibly change) some matrix entries in column order.

walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Visit (and possibly change) some matrix entries in column order.

walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Visit (but don't change) all matrix entries in column order.

walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Visit (but don't change) all matrix entries in column order.

walkInColumnOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix

Visit (but don't change) all matrix entries in column order.

walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Visit (but don't change) all matrix entries in column order.

walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Visit (but don't change) some matrix entries in column order.

walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Visit (but don't change) some matrix entries in column order.

walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix

Visit (but don't change) some matrix entries in column order.

walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Visit (but don't change) some matrix entries in column order.

walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Visit (and possibly change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Visit (and possibly change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Visit (and possibly change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Visit (and possibly change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Visit (and possibly change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Visit (and possibly change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Visit (but don't change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Visit (but don't change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Visit (but don't change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Visit (but don't change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Visit (but don't change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Visit (but don't change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Visit (and possibly change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Visit (and possibly change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix

Visit (and possibly change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Visit (and possibly change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Visit (and possibly change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix

Visit (and possibly change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Visit (but don't change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Visit (but don't change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix

Visit (but don't change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Visit (but don't change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Visit (but don't change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix

Visit (but don't change) some matrix entries using the fastest possible order.

walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix

Visit (but don't change) some matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix

Visit (but don't change) some matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix

Visit (but don't change) some matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix

Visit (but don't change) some matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix

Visit (but don't change) some matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix

Visit (but don't change) some matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix

Visit (but don't change) some matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix

Visit (but don't change) some matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl

Deprecated.

Visit (but don't change) some matrix entries in row order.

WeibullDistribution - Interface in org.apache.commons.math.distribution

Weibull Distribution.

WeibullDistributionImpl - Class in org.apache.commons.math.distribution

Default implementation of WeibullDistribution.

WeibullDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.WeibullDistributionImpl

Creates weibull distribution with the given shape and scale and a location equal to zero.

WeibullDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.WeibullDistributionImpl

Creates weibull distribution with the given shape, scale and inverse cumulative probability accuracy and a location equal to zero.

WEIGHT_AT_LEAST_ONE_NON_ZERO - org.apache.commons.math.exception.util.LocalizedFormats

WeightedEvaluation - Interface in org.apache.commons.math.stat.descriptive

Weighted evaluation for statistics.

WeightedMeasurement - Class in org.apache.commons.math.estimation

Deprecated.

as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general

WeightedMeasurement(double, double) - Constructor for class org.apache.commons.math.estimation.WeightedMeasurement

Deprecated.

Simple constructor.

WeightedMeasurement(double, double, boolean) - Constructor for class org.apache.commons.math.estimation.WeightedMeasurement

Deprecated.

Simple constructor.

WeightedObservedPoint - Class in org.apache.commons.math.optimization.fitting

This class is a simple container for weighted observed point in curve fitting.

WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math.optimization.fitting.WeightedObservedPoint

Simple constructor.

Well1024a - Class in org.apache.commons.math.random

This class implements the WELL1024a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

Well1024a() - Constructor for class org.apache.commons.math.random.Well1024a

Creates a new random number generator.

Well1024a(int) - Constructor for class org.apache.commons.math.random.Well1024a

Creates a new random number generator using a single int seed.

Well1024a(int[]) - Constructor for class org.apache.commons.math.random.Well1024a

Creates a new random number generator using an int array seed.

Well1024a(long) - Constructor for class org.apache.commons.math.random.Well1024a

Creates a new random number generator using a single long seed.

Well19937a - Class in org.apache.commons.math.random

This class implements the WELL19937a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

Well19937a() - Constructor for class org.apache.commons.math.random.Well19937a

Creates a new random number generator.

Well19937a(int) - Constructor for class org.apache.commons.math.random.Well19937a

Creates a new random number generator using a single int seed.

Well19937a(int[]) - Constructor for class org.apache.commons.math.random.Well19937a

Creates a new random number generator using an int array seed.

Well19937a(long) - Constructor for class org.apache.commons.math.random.Well19937a

Creates a new random number generator using a single long seed.

Well19937c - Class in org.apache.commons.math.random

This class implements the WELL19937c pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

Well19937c() - Constructor for class org.apache.commons.math.random.Well19937c

Creates a new random number generator.

Well19937c(int) - Constructor for class org.apache.commons.math.random.Well19937c

Creates a new random number generator using a single int seed.

Well19937c(int[]) - Constructor for class org.apache.commons.math.random.Well19937c

Creates a new random number generator using an int array seed.

Well19937c(long) - Constructor for class org.apache.commons.math.random.Well19937c

Creates a new random number generator using a single long seed.

Well44497a - Class in org.apache.commons.math.random

This class implements the WELL44497a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

Well44497a() - Constructor for class org.apache.commons.math.random.Well44497a

Creates a new random number generator.

Well44497a(int) - Constructor for class org.apache.commons.math.random.Well44497a

Creates a new random number generator using a single int seed.

Well44497a(int[]) - Constructor for class org.apache.commons.math.random.Well44497a

Creates a new random number generator using an int array seed.

Well44497a(long) - Constructor for class org.apache.commons.math.random.Well44497a

Creates a new random number generator using a single long seed.

Well44497b - Class in org.apache.commons.math.random

This class implements the WELL44497b pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

Well44497b() - Constructor for class org.apache.commons.math.random.Well44497b

Creates a new random number generator.

Well44497b(int) - Constructor for class org.apache.commons.math.random.Well44497b

Creates a new random number generator using a single int seed.

Well44497b(int[]) - Constructor for class org.apache.commons.math.random.Well44497b

Creates a new random number generator using an int array seed.

Well44497b(long) - Constructor for class org.apache.commons.math.random.Well44497b

Creates a new random number generator using a single long seed.

Well512a - Class in org.apache.commons.math.random

This class implements the WELL512a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

Well512a() - Constructor for class org.apache.commons.math.random.Well512a

Creates a new random number generator.

Well512a(int) - Constructor for class org.apache.commons.math.random.Well512a

Creates a new random number generator using a single int seed.

Well512a(int[]) - Constructor for class org.apache.commons.math.random.Well512a

Creates a new random number generator using an int array seed.

Well512a(long) - Constructor for class org.apache.commons.math.random.Well512a

Creates a new random number generator using a single long seed.

WHOLE_FORMAT - org.apache.commons.math.exception.util.LocalizedFormats

windowSize - Variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics

hold the window size

wjacobian - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Weighted Jacobian

wresiduals - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer

Weighted residuals

writeBaseExternal(ObjectOutput) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

Save the base state of the instance.

writeExternal(ObjectOutput) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator

writeExternal(ObjectOutput) - Method in class org.apache.commons.math.ode.sampling.DummyStepInterpolator

Write the instance to an output channel.

writeExternal(ObjectOutput) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator

WRONG_BLOCK_LENGTH - org.apache.commons.math.exception.util.LocalizedFormats

WRONG_NUMBER_OF_POINTS - org.apache.commons.math.exception.util.LocalizedFormats

X

X - Variable in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

X sample data.

XYX - Static variable in class org.apache.commons.math.geometry.RotationOrder

Set of Euler angles.

XYZ - Static variable in class org.apache.commons.math.geometry.RotationOrder

Set of Cardan angles.

XZX - Static variable in class org.apache.commons.math.geometry.RotationOrder

Set of Euler angles.

XZY - Static variable in class org.apache.commons.math.geometry.RotationOrder

Set of Cardan angles.

Y

Y - Variable in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression

Y sample data.

YXY - Static variable in class org.apache.commons.math.geometry.RotationOrder

Set of Euler angles.

YXZ - Static variable in class org.apache.commons.math.geometry.RotationOrder

Set of Cardan angles.

YZX - Static variable in class org.apache.commons.math.geometry.RotationOrder

Set of Cardan angles.

YZY - Static variable in class org.apache.commons.math.geometry.RotationOrder

Set of Euler angles.

Z

ZERO - Static variable in class org.apache.commons.math.analysis.ComposableFunction

The constant function always returning 0.

ZERO - Static variable in class org.apache.commons.math.complex.Complex

A complex number representing "0.0 + 0.0i"

ZERO - Static variable in class org.apache.commons.math.fraction.BigFraction

A fraction representing "0".

ZERO - Static variable in class org.apache.commons.math.fraction.Fraction

A fraction representing "0".

ZERO - Static variable in class org.apache.commons.math.geometry.Vector3D

Null vector (coordinates: 0, 0, 0).

ZERO - Static variable in class org.apache.commons.math.util.BigReal

A big real representing 0.

ZERO_DENOMINATOR - org.apache.commons.math.exception.util.LocalizedFormats

ZERO_DENOMINATOR_IN_FRACTION - org.apache.commons.math.exception.util.LocalizedFormats

ZERO_FRACTION_TO_DIVIDE_BY - org.apache.commons.math.exception.util.LocalizedFormats

ZERO_NORM - org.apache.commons.math.exception.util.LocalizedFormats

ZERO_NORM_FOR_ROTATION_AXIS - org.apache.commons.math.exception.util.LocalizedFormats

ZERO_NORM_FOR_ROTATION_DEFINING_VECTOR - org.apache.commons.math.exception.util.LocalizedFormats

ZERO_NOT_ALLOWED - org.apache.commons.math.exception.util.LocalizedFormats

ZeroException - Exception in org.apache.commons.math.exception

Exception to be thrown when zero is provided where it is not allowed.

ZeroException() - Constructor for exception org.apache.commons.math.exception.ZeroException

Construct the exception.

ZeroException(Localizable) - Constructor for exception org.apache.commons.math.exception.ZeroException

Construct the exception with a specific context.

ZipfDistribution - Interface in org.apache.commons.math.distribution

The Zipf (or zeta) Distribution.

ZipfDistributionImpl - Class in org.apache.commons.math.distribution

Implementation for the ZipfDistribution.

ZipfDistributionImpl(int, double) - Constructor for class org.apache.commons.math.distribution.ZipfDistributionImpl

Create a new Zipf distribution with the given number of elements and exponent.

ZXY - Static variable in class org.apache.commons.math.geometry.RotationOrder

Set of Cardan angles.

ZXZ - Static variable in class org.apache.commons.math.geometry.RotationOrder

Set of Euler angles.

ZYX - Static variable in class org.apache.commons.math.geometry.RotationOrder

Set of Cardan angles.

ZYZ - Static variable in class org.apache.commons.math.geometry.RotationOrder

Set of Euler angles.

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