Uses of Class
org.apache.commons.math.DimensionMismatchException

Packages that use DimensionMismatchException

Package	Description
org.apache.commons.math.analysis.interpolation	Univariate real functions interpolation algorithms.
org.apache.commons.math.random	Random number and random data generators.
org.apache.commons.math.stat.descriptive	Generic univariate summary statistic objects.
org.apache.commons.math.stat.descriptive.moment	Summary statistics based on moments.

Uses of DimensionMismatchException in org.apache.commons.math.analysis.interpolation

Constructors in org.apache.commons.math.analysis.interpolation that throw DimensionMismatchException

Constructor	Description
BicubicSplineInterpolatingFunction(double[] x, double[] y, double[][] f, double[][] dFdX, double[][] dFdY, double[][] d2FdXdY)
MicrosphereInterpolatingFunction(double[][] xval, double[] yval, int brightnessExponent, int microsphereElements, UnitSphereRandomVectorGenerator rand)

Uses of DimensionMismatchException in org.apache.commons.math.random

Constructors in org.apache.commons.math.random that throw DimensionMismatchException

Constructor	Description
CorrelatedRandomVectorGenerator(double[] mean, RealMatrix covariance, double small, NormalizedRandomGenerator generator)	Simple constructor.

Uses of DimensionMismatchException in org.apache.commons.math.stat.descriptive

Methods in org.apache.commons.math.stat.descriptive that throw DimensionMismatchException

Modifier and Type	Method	Description
void	MultivariateSummaryStatistics.addValue(double[] value)	Add an n-tuple to the data
void	SynchronizedMultivariateSummaryStatistics.addValue(double[] value)	Add an n-tuple to the data
void	MultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)	Sets the implementation for the geometric mean.
void	SynchronizedMultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)	Sets the implementation for the geometric mean.
void	MultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)	Sets the implementation for the maximum.
void	SynchronizedMultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)	Sets the implementation for the maximum.
void	MultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)	Sets the implementation for the mean.
void	SynchronizedMultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)	Sets the implementation for the mean.
void	MultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)	Sets the implementation for the minimum.
void	SynchronizedMultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)	Sets the implementation for the minimum.
void	MultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)	Sets the implementation for the Sum.
void	SynchronizedMultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)	Sets the implementation for the Sum.
void	MultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)	Sets the implementation for the sum of logs.
void	SynchronizedMultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)	Sets the implementation for the sum of logs.
void	MultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)	Sets the implementation for the sum of squares.
void	SynchronizedMultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)	Sets the implementation for the sum of squares.

Uses of DimensionMismatchException in org.apache.commons.math.stat.descriptive.moment

Methods in org.apache.commons.math.stat.descriptive.moment that throw DimensionMismatchException

Modifier and Type	Method	Description
void	VectorialCovariance.increment(double[] v)	Add a new vector to the sample.
void	VectorialMean.increment(double[] v)	Add a new vector to the sample.