Uses of Interface
org.apache.commons.math.linear.RealMatrix

Packages that use RealMatrix

Package	Description
org.apache.commons.math.linear	Linear algebra support.
org.apache.commons.math.ode	This package provides classes to solve Ordinary Differential Equations problems.
org.apache.commons.math.optimization	This package provides common interfaces for the optimization algorithms provided in sub-packages.
org.apache.commons.math.random	Random number and random data generators.
org.apache.commons.math.stat.correlation	Correlations/Covariance computations.
org.apache.commons.math.stat.descriptive	Generic univariate summary statistic objects.
org.apache.commons.math.stat.descriptive.moment	Summary statistics based on moments.
org.apache.commons.math.stat.regression	Statistical routines involving multivariate data.

Uses of RealMatrix in org.apache.commons.math.linear

Subinterfaces of RealMatrix in org.apache.commons.math.linear

Modifier and Type	Interface	Description
interface	SparseRealMatrix	Marker interface for RealMatrix implementations that require sparse backing storage

Classes in org.apache.commons.math.linear that implement RealMatrix

Modifier and Type	Class	Description
class	AbstractRealMatrix	Basic implementation of RealMatrix methods regardless of the underlying storage.
class	Array2DRowRealMatrix	Implementation of RealMatrix using a double[][] array to store entries and LU decomposition to support linear system solution and inverse.
class	BlockRealMatrix	Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
class	OpenMapRealMatrix	Sparse matrix implementation based on an open addressed map.
class	RealMatrixImpl	Deprecated. as of 2.0 replaced by Array2DRowRealMatrix

Methods in org.apache.commons.math.linear that return RealMatrix

Modifier and Type	Method	Description
RealMatrix	AbstractRealMatrix.add(RealMatrix m)	Compute the sum of this and m.
RealMatrix	Array2DRowRealMatrix.add(RealMatrix m)	Compute the sum of this and m.
RealMatrix	RealMatrix.add(RealMatrix m)	Compute the sum of this and m.
RealMatrix	RealMatrixImpl.add(RealMatrix m)	Deprecated. Compute the sum of this and m.
abstract RealMatrix	AbstractRealMatrix.copy()	Returns a (deep) copy of this.
RealMatrix	Array2DRowRealMatrix.copy()	Returns a (deep) copy of this.
RealMatrix	RealMatrix.copy()	Returns a (deep) copy of this.
RealMatrix	RealMatrixImpl.copy()	Deprecated. Returns a (deep) copy of this.
static RealMatrix	MatrixUtils.createColumnRealMatrix(double[] columnData)	Creates a column RealMatrix using the data from the input array.
abstract RealMatrix	AbstractRealMatrix.createMatrix(int rowDimension, int columnDimension)	Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
RealMatrix	Array2DRowRealMatrix.createMatrix(int rowDimension, int columnDimension)	Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
RealMatrix	RealMatrix.createMatrix(int rowDimension, int columnDimension)	Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
RealMatrix	RealMatrixImpl.createMatrix(int rowDimension, int columnDimension)	Deprecated. Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
static RealMatrix	MatrixUtils.createRealDiagonalMatrix(double[] diagonal)	Returns a diagonal matrix with specified elements.
static RealMatrix	MatrixUtils.createRealIdentityMatrix(int dimension)	Returns dimension x dimension identity matrix.
static RealMatrix	MatrixUtils.createRealMatrix(double[][] data)	Returns a RealMatrix whose entries are the the values in the the input array.
static RealMatrix	MatrixUtils.createRealMatrix(int rows, int columns)	Returns a RealMatrix with specified dimensions.
static RealMatrix	MatrixUtils.createRowRealMatrix(double[] rowData)	Creates a row RealMatrix using the data from the input array.
RealMatrix	AbstractRealMatrix.getColumnMatrix(int column)	Returns the entries in column number column as a column matrix.
RealMatrix	RealMatrix.getColumnMatrix(int column)	Returns the entries in column number column as a column matrix.
RealMatrix	SingularValueDecomposition.getCovariance(double minSingularValue)	Returns the n × n covariance matrix.
RealMatrix	SingularValueDecompositionImpl.getCovariance(double minSingularValue)	Returns the n × n covariance matrix.
RealMatrix	EigenDecomposition.getD()	Returns the block diagonal matrix D of the decomposition.
RealMatrix	EigenDecompositionImpl.getD()	Returns the block diagonal matrix D of the decomposition.
RealMatrix	QRDecomposition.getH()	Returns the Householder reflector vectors.
RealMatrix	QRDecompositionImpl.getH()	Returns the Householder reflector vectors.
RealMatrix	DecompositionSolver.getInverse()	Get the inverse (or pseudo-inverse) of the decomposed matrix.
RealMatrix	CholeskyDecomposition.getL()	Returns the matrix L of the decomposition.
RealMatrix	CholeskyDecompositionImpl.getL()	Returns the matrix L of the decomposition.
RealMatrix	LUDecomposition.getL()	Returns the matrix L of the decomposition.
RealMatrix	LUDecompositionImpl.getL()	Returns the matrix L of the decomposition.
RealMatrix	CholeskyDecomposition.getLT()	Returns the transpose of the matrix L of the decomposition.
RealMatrix	CholeskyDecompositionImpl.getLT()	Returns the transpose of the matrix L of the decomposition.
RealMatrix	LUDecomposition.getP()	Returns the P rows permutation matrix.
RealMatrix	LUDecompositionImpl.getP()	Returns the P rows permutation matrix.
RealMatrix	QRDecomposition.getQ()	Returns the matrix Q of the decomposition.
RealMatrix	QRDecompositionImpl.getQ()	Returns the matrix Q of the decomposition.
RealMatrix	QRDecomposition.getQT()	Returns the transpose of the matrix Q of the decomposition.
RealMatrix	QRDecompositionImpl.getQT()	Returns the transpose of the matrix Q of the decomposition.
RealMatrix	QRDecomposition.getR()	Returns the matrix R of the decomposition.
RealMatrix	QRDecompositionImpl.getR()	Returns the matrix R of the decomposition.
RealMatrix	AbstractRealMatrix.getRowMatrix(int row)	Returns the entries in row number row as a row matrix.
RealMatrix	RealMatrix.getRowMatrix(int row)	Returns the entries in row number row as a row matrix.
RealMatrix	SingularValueDecomposition.getS()	Returns the diagonal matrix Σ of the decomposition.
RealMatrix	SingularValueDecompositionImpl.getS()	Returns the diagonal matrix Σ of the decomposition.
RealMatrix	AbstractRealMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns)	Gets a submatrix.
RealMatrix	AbstractRealMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn)	Gets a submatrix.
RealMatrix	RealMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns)	Gets a submatrix.
RealMatrix	RealMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn)	Gets a submatrix.
RealMatrix	LUDecomposition.getU()	Returns the matrix U of the decomposition.
RealMatrix	LUDecompositionImpl.getU()	Returns the matrix U of the decomposition.
RealMatrix	SingularValueDecomposition.getU()	Returns the matrix U of the decomposition.
RealMatrix	SingularValueDecompositionImpl.getU()	Returns the matrix U of the decomposition.
RealMatrix	SingularValueDecomposition.getUT()	Returns the transpose of the matrix U of the decomposition.
RealMatrix	SingularValueDecompositionImpl.getUT()	Returns the transpose of the matrix U of the decomposition.
RealMatrix	EigenDecomposition.getV()	Returns the matrix V of the decomposition.
RealMatrix	EigenDecompositionImpl.getV()	Returns the matrix V of the decomposition.
RealMatrix	SingularValueDecomposition.getV()	Returns the matrix V of the decomposition.
RealMatrix	SingularValueDecompositionImpl.getV()	Returns the matrix V of the decomposition.
RealMatrix	EigenDecomposition.getVT()	Returns the transpose of the matrix V of the decomposition.
RealMatrix	EigenDecompositionImpl.getVT()	Returns the transpose of the matrix V of the decomposition.
RealMatrix	SingularValueDecomposition.getVT()	Returns the transpose of the matrix V of the decomposition.
RealMatrix	SingularValueDecompositionImpl.getVT()	Returns the transpose of the matrix V of the decomposition.
RealMatrix	AbstractRealMatrix.inverse()	Deprecated.
RealMatrix	RealMatrix.inverse()	Deprecated. as of release 2.0, replaced by new LUDecompositionImpl(m).getSolver().getInverse()
RealMatrix	AbstractRealMatrix.multiply(RealMatrix m)	Returns the result of postmultiplying this by m.
RealMatrix	Array2DRowRealMatrix.multiply(RealMatrix m)	Returns the result of postmultiplying this by m.
RealMatrix	OpenMapRealMatrix.multiply(RealMatrix m)	Returns the result of postmultiplying this by m.
RealMatrix	RealMatrix.multiply(RealMatrix m)	Returns the result of postmultiplying this by m.
RealMatrix	RealMatrixImpl.multiply(RealMatrix m)	Deprecated. Returns the result of postmultiplying this by m.
RealMatrix	AbstractRealVector.outerProduct(double[] v)	Compute the outer product.
RealMatrix	AbstractRealVector.outerProduct(RealVector v)	Compute the outer product.
RealMatrix	ArrayRealVector.outerProduct(double[] v)	Compute the outer product.
RealMatrix	ArrayRealVector.outerProduct(ArrayRealVector v)	Compute the outer product.
RealMatrix	ArrayRealVector.outerProduct(RealVector v)	Compute the outer product.
RealMatrix	OpenMapRealVector.outerProduct(double[] v)	Compute the outer product.
RealMatrix	RealVector.outerProduct(double[] v)	Compute the outer product.
RealMatrix	RealVector.outerProduct(RealVector v)	Compute the outer product.
RealMatrix	AbstractRealMatrix.preMultiply(RealMatrix m)	Returns the result premultiplying this by m.
RealMatrix	RealMatrix.preMultiply(RealMatrix m)	Returns the result premultiplying this by m.
RealMatrix	AbstractRealMatrix.scalarAdd(double d)	Returns the result of adding d to each entry of this.
RealMatrix	RealMatrix.scalarAdd(double d)	Returns the result of adding d to each entry of this.
RealMatrix	AbstractRealMatrix.scalarMultiply(double d)	Returns the result multiplying each entry of this by d.
RealMatrix	BlockRealMatrix.scalarMultiply(double d)	Returns the result multiplying each entry of this by d.
RealMatrix	RealMatrix.scalarMultiply(double d)	Returns the result multiplying each entry of this by d.
RealMatrix	AbstractRealMatrix.solve(RealMatrix b)	Deprecated.
RealMatrix	DecompositionSolver.solve(RealMatrix b)	Solve the linear equation A × X = B for matrices A.
RealMatrix	RealMatrix.solve(RealMatrix b)	Deprecated. as of release 2.0, replaced by DecompositionSolver.solve(RealMatrix)
RealMatrix	AbstractRealMatrix.subtract(RealMatrix m)	Compute this minus m.
RealMatrix	Array2DRowRealMatrix.subtract(RealMatrix m)	Compute this minus m.
RealMatrix	RealMatrix.subtract(RealMatrix m)	Compute this minus m.
RealMatrix	RealMatrixImpl.subtract(RealMatrix m)	Deprecated. Compute this minus m.
RealMatrix	AbstractRealMatrix.transpose()	Returns the transpose of this matrix.
RealMatrix	RealMatrix.transpose()	Returns the transpose of this matrix.

Methods in org.apache.commons.math.linear with parameters of type RealMatrix

Modifier and Type	Method	Description
RealMatrix	AbstractRealMatrix.add(RealMatrix m)	Compute the sum of this and m.
RealMatrix	Array2DRowRealMatrix.add(RealMatrix m)	Compute the sum of this and m.
BlockRealMatrix	BlockRealMatrix.add(RealMatrix m)	Compute the sum of this and m.
OpenMapRealMatrix	OpenMapRealMatrix.add(RealMatrix m)	Compute the sum of this and m.
RealMatrix	RealMatrix.add(RealMatrix m)	Compute the sum of this and m.
RealMatrix	RealMatrixImpl.add(RealMatrix m)	Deprecated. Compute the sum of this and m.
RealMatrix	AbstractRealMatrix.multiply(RealMatrix m)	Returns the result of postmultiplying this by m.
RealMatrix	Array2DRowRealMatrix.multiply(RealMatrix m)	Returns the result of postmultiplying this by m.
BlockRealMatrix	BlockRealMatrix.multiply(RealMatrix m)	Returns the result of postmultiplying this by m.
RealMatrix	OpenMapRealMatrix.multiply(RealMatrix m)	Returns the result of postmultiplying this by m.
RealMatrix	RealMatrix.multiply(RealMatrix m)	Returns the result of postmultiplying this by m.
RealMatrix	RealMatrixImpl.multiply(RealMatrix m)	Deprecated. Returns the result of postmultiplying this by m.
RealMatrix	AbstractRealMatrix.preMultiply(RealMatrix m)	Returns the result premultiplying this by m.
RealMatrix	RealMatrix.preMultiply(RealMatrix m)	Returns the result premultiplying this by m.
static void	MatrixUtils.serializeRealMatrix(RealMatrix matrix, java.io.ObjectOutputStream oos)	Serialize a RealMatrix.
void	AbstractRealMatrix.setColumnMatrix(int column, RealMatrix matrix)	Sets the entries in column number column as a column matrix.
void	BlockRealMatrix.setColumnMatrix(int column, RealMatrix matrix)	Sets the entries in column number column as a column matrix.
void	RealMatrix.setColumnMatrix(int column, RealMatrix matrix)	Sets the entries in column number column as a column matrix.
void	AbstractRealMatrix.setRowMatrix(int row, RealMatrix matrix)	Sets the entries in row number row as a row matrix.
void	BlockRealMatrix.setRowMatrix(int row, RealMatrix matrix)	Sets the entries in row number row as a row matrix.
void	RealMatrix.setRowMatrix(int row, RealMatrix matrix)	Sets the entries in row number row as a row matrix.
RealMatrix	AbstractRealMatrix.solve(RealMatrix b)	Deprecated.
RealMatrix	DecompositionSolver.solve(RealMatrix b)	Solve the linear equation A × X = B for matrices A.
RealMatrix	RealMatrix.solve(RealMatrix b)	Deprecated. as of release 2.0, replaced by DecompositionSolver.solve(RealMatrix)
RealMatrix	AbstractRealMatrix.subtract(RealMatrix m)	Compute this minus m.
RealMatrix	Array2DRowRealMatrix.subtract(RealMatrix m)	Compute this minus m.
BlockRealMatrix	BlockRealMatrix.subtract(RealMatrix m)	Compute this minus m.
OpenMapRealMatrix	OpenMapRealMatrix.subtract(RealMatrix m)	Compute this minus m.
RealMatrix	RealMatrix.subtract(RealMatrix m)	Compute this minus m.
RealMatrix	RealMatrixImpl.subtract(RealMatrix m)	Deprecated. Compute this minus m.

Constructors in org.apache.commons.math.linear with parameters of type RealMatrix

Constructor	Description
CholeskyDecompositionImpl(RealMatrix matrix)	Calculates the Cholesky decomposition of the given matrix.
CholeskyDecompositionImpl(RealMatrix matrix, double relativeSymmetryThreshold, double absolutePositivityThreshold)	Calculates the Cholesky decomposition of the given matrix.
EigenDecompositionImpl(RealMatrix matrix, double splitTolerance)	Calculates the eigen decomposition of the given symmetric matrix.
LUDecompositionImpl(RealMatrix matrix)	Calculates the LU-decomposition of the given matrix.
LUDecompositionImpl(RealMatrix matrix, double singularityThreshold)	Calculates the LU-decomposition of the given matrix.
QRDecompositionImpl(RealMatrix matrix)	Calculates the QR-decomposition of the given matrix.
SingularValueDecompositionImpl(RealMatrix matrix)	Calculates the compact Singular Value Decomposition of the given matrix.

Uses of RealMatrix in org.apache.commons.math.ode

Methods in org.apache.commons.math.ode that return RealMatrix

Modifier and Type	Method	Description
RealMatrix	MultistepIntegrator.NordsieckTransformer.initializeHighOrderDerivatives(double[] first, double[][] multistep)	Initialize the high order scaled derivatives at step start.

Uses of RealMatrix in org.apache.commons.math.optimization

Constructors in org.apache.commons.math.optimization with parameters of type RealMatrix

Constructor	Description
LeastSquaresConverter(MultivariateVectorialFunction function, double[] observations, RealMatrix scale)	Build a simple converter for correlated residuals with the specific weights.

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

Methods in org.apache.commons.math.random that return RealMatrix

Modifier and Type	Method	Description
RealMatrix	CorrelatedRandomVectorGenerator.getRootMatrix()	Get the root of the covariance matrix.

Constructors in org.apache.commons.math.random with parameters of type RealMatrix

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

Uses of RealMatrix in org.apache.commons.math.stat.correlation

Methods in org.apache.commons.math.stat.correlation that return RealMatrix

Modifier and Type	Method	Description
RealMatrix	PearsonsCorrelation.computeCorrelationMatrix(double[][] data)	Computes the correlation matrix for the columns of the input rectangular array.
RealMatrix	PearsonsCorrelation.computeCorrelationMatrix(RealMatrix matrix)	Computes the correlation matrix for the columns of the input matrix.
RealMatrix	SpearmansCorrelation.computeCorrelationMatrix(double[][] matrix)	Computes the Spearman's rank correlation matrix for the columns of the input rectangular array.
RealMatrix	SpearmansCorrelation.computeCorrelationMatrix(RealMatrix matrix)	Computes the Spearman's rank correlation matrix for the columns of the input matrix.
protected RealMatrix	Covariance.computeCovarianceMatrix(double[][] data)	Create a covariance matrix from a rectangual array whose columns represent covariates.
protected RealMatrix	Covariance.computeCovarianceMatrix(double[][] data, boolean biasCorrected)	Compute a covariance matrix from a rectangular array whose columns represent covariates.
protected RealMatrix	Covariance.computeCovarianceMatrix(RealMatrix matrix)	Create a covariance matrix from a matrix whose columns represent covariates.
protected RealMatrix	Covariance.computeCovarianceMatrix(RealMatrix matrix, boolean biasCorrected)	Compute a covariance matrix from a matrix whose columns represent covariates.
RealMatrix	PearsonsCorrelation.covarianceToCorrelation(RealMatrix covarianceMatrix)	Derives a correlation matrix from a covariance matrix.
RealMatrix	PearsonsCorrelation.getCorrelationMatrix()	Returns the correlation matrix
RealMatrix	SpearmansCorrelation.getCorrelationMatrix()	Calculate the Spearman Rank Correlation Matrix.
RealMatrix	PearsonsCorrelation.getCorrelationPValues()	Returns a matrix of p-values associated with the (two-sided) null hypothesis that the corresponding correlation coefficient is zero.
RealMatrix	PearsonsCorrelation.getCorrelationStandardErrors()	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)
RealMatrix	Covariance.getCovarianceMatrix()	Returns the covariance matrix

Methods in org.apache.commons.math.stat.correlation with parameters of type RealMatrix

Modifier and Type	Method	Description
RealMatrix	PearsonsCorrelation.computeCorrelationMatrix(RealMatrix matrix)	Computes the correlation matrix for the columns of the input matrix.
RealMatrix	SpearmansCorrelation.computeCorrelationMatrix(RealMatrix matrix)	Computes the Spearman's rank correlation matrix for the columns of the input matrix.
protected RealMatrix	Covariance.computeCovarianceMatrix(RealMatrix matrix)	Create a covariance matrix from a matrix whose columns represent covariates.
protected RealMatrix	Covariance.computeCovarianceMatrix(RealMatrix matrix, boolean biasCorrected)	Compute a covariance matrix from a matrix whose columns represent covariates.
RealMatrix	PearsonsCorrelation.covarianceToCorrelation(RealMatrix covarianceMatrix)	Derives a correlation matrix from a covariance matrix.

Constructors in org.apache.commons.math.stat.correlation with parameters of type RealMatrix

Constructor	Description
Covariance(RealMatrix matrix)	Create a covariance matrix from a matrix whose columns represent covariates.
Covariance(RealMatrix matrix, boolean biasCorrected)	Create a covariance matrix from a matrix whose columns represent covariates.
PearsonsCorrelation(RealMatrix matrix)	Create a PearsonsCorrelation from a RealMatrix whose columns represent variables to be correlated.
PearsonsCorrelation(RealMatrix covarianceMatrix, int numberOfObservations)	Create a PearsonsCorrelation from a covariance matrix.
SpearmansCorrelation(RealMatrix dataMatrix)	Create a SpearmansCorrelation from the given data matrix.
SpearmansCorrelation(RealMatrix dataMatrix, RankingAlgorithm rankingAlgorithm)	Create a SpearmansCorrelation with the given input data matrix and ranking algorithm.

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

Methods in org.apache.commons.math.stat.descriptive that return RealMatrix

Modifier and Type	Method	Description
RealMatrix	MultivariateSummaryStatistics.getCovariance()	Returns the covariance matrix of the values that have been added.
RealMatrix	StatisticalMultivariateSummary.getCovariance()	Returns the covariance of the available values.
RealMatrix	SynchronizedMultivariateSummaryStatistics.getCovariance()	Returns the covariance matrix of the values that have been added.

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

Methods in org.apache.commons.math.stat.descriptive.moment that return RealMatrix

Modifier and Type	Method	Description
RealMatrix	VectorialCovariance.getResult()	Get the covariance matrix.

Uses of RealMatrix in org.apache.commons.math.stat.regression

Fields in org.apache.commons.math.stat.regression declared as RealMatrix

Modifier and Type	Field	Description
protected RealMatrix	AbstractMultipleLinearRegression.X	X sample data.

Methods in org.apache.commons.math.stat.regression that return RealMatrix

Modifier and Type	Method	Description
protected abstract RealMatrix	AbstractMultipleLinearRegression.calculateBetaVariance()	Calculates the beta variance of multiple linear regression in matrix notation.
protected RealMatrix	GLSMultipleLinearRegression.calculateBetaVariance()	Calculates the variance on the beta.
protected RealMatrix	OLSMultipleLinearRegression.calculateBetaVariance()	Calculates the variance-covariance matrix of the regression parameters.
RealMatrix	OLSMultipleLinearRegression.calculateHat()	Compute the "hat" matrix.
protected RealMatrix	GLSMultipleLinearRegression.getOmegaInverse()	Get the inverse of the covariance.