Uses of Interface org.hipparchus.linear.RealMatrix (Hipparchus::Core 4.0.2 API)

Packages that use RealMatrix
Package	Description
org.hipparchus.distribution.multivariate	Implementations of multivariate distributions.
org.hipparchus.linear	Linear algebra support.
org.hipparchus.random	Random number and random data generators.
org.hipparchus.util	Convenience routines and common data structures used throughout the Hipparchus library.

Uses of RealMatrix in org.hipparchus.distribution.multivariate

Methods in org.hipparchus.distribution.multivariate that return RealMatrix
Modifier and Type	Method	Description
`RealMatrix`	MultivariateNormalDistribution.`getCovariances()`	Gets the covariance matrix.

Uses of RealMatrix in org.hipparchus.linear

Subinterfaces of RealMatrix in org.hipparchus.linear
Modifier and Type	Interface	Description
`interface`	`SparseRealMatrix`	Marker interface for `RealMatrix` implementations that require sparse backing storage

Classes in org.hipparchus.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.
`class`	`BlockRealMatrix`	Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
`class`	`DiagonalMatrix`	Implementation of a diagonal matrix.
`class`	`OpenMapRealMatrix`	Sparse matrix implementation based on an open addressed map.

Methods in org.hipparchus.linear that return RealMatrix
Modifier and Type	Method	Description
`RealMatrix`	AbstractRealMatrix.`add(RealMatrix m)`	Returns the sum of `this` and `m`.
`RealMatrix`	RealMatrix.`add(RealMatrix m)`	Returns the sum of `this` and `m`.
`default RealMatrix`	RealMatrix.`blendArithmeticallyWith(RealMatrix other, double blendingValue)`	Blend arithmetically this instance with another one.
`static RealMatrix`	MatrixUtils.`blockInverse(RealMatrix m, int splitIndex)`	Computes the inverse of the given matrix by splitting it into 4 sub-matrices.
`abstract RealMatrix`	AbstractRealMatrix.`copy()`	Returns a (deep) copy of this.
`RealMatrix`	Array2DRowRealMatrix.`copy()`	Returns a (deep) copy of this.
`RealMatrix`	DiagonalMatrix.`copy()`	Returns a (deep) copy of this.
`RealMatrix`	RealMatrix.`copy()`	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`	DiagonalMatrix.`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.
`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)`	Create a row `RealMatrix` using the data from the input array.
`RealMatrix`	AbstractRealMatrix.`getColumnMatrix(int column)`	Get the entries at the given column index as a column matrix.
`RealMatrix`	RealMatrix.`getColumnMatrix(int column)`	Get the entries at the given column index as a column matrix.
`RealMatrix`	SingularValueDecomposition.`getCovariance(double minSingularValue)`	Returns the n × n covariance matrix.
`RealMatrix`	EigenDecompositionNonSymmetric.`getD()`	Gets the block diagonal matrix D of the decomposition.
`RealMatrix`	HessenbergTransformer.`getH()`	Returns the Hessenberg matrix H of the transform.
`RealMatrix`	QRDecomposition.`getH()`	Returns the Householder reflector vectors.
`RealMatrix`	DecompositionSolver.`getInverse()`	Get the pseudo-inverse of the decomposed matrix.
`RealMatrix`	RiccatiEquationSolver.`getK()`	Get the linear controller k.
`RealMatrix`	RiccatiEquationSolverImpl.`getK()`	{inheritDoc}
`RealMatrix`	CholeskyDecomposition.`getL()`	Returns the matrix L of the decomposition.
`RealMatrix`	LUDecomposition.`getL()`	Returns the matrix L of the decomposition.
`RealMatrix`	SemiDefinitePositiveCholeskyDecomposition.`getL()`	Returns the matrix L of the decomposition.
`RealMatrix`	CholeskyDecomposition.`getLT()`	Returns the transpose of the matrix L of the decomposition.
`RealMatrix`	SemiDefinitePositiveCholeskyDecomposition.`getLT()`	Returns the transpose of the matrix L of the decomposition.
`RealMatrix`	HessenbergTransformer.`getP()`	Returns the matrix P of the transform.
`RealMatrix`	LUDecomposition.`getP()`	Returns the P rows permutation matrix.
`RealMatrix`	RiccatiEquationSolver.`getP()`	Get the solution.
`RealMatrix`	RiccatiEquationSolverImpl.`getP()`	{inheritDoc}
`RealMatrix`	RRQRDecomposition.`getP()`	Returns the pivot matrix, P, used in the QR Decomposition of matrix A such that AP = QR.
`RealMatrix`	SchurTransformer.`getP()`	Returns the matrix P of the transform.
`RealMatrix`	HessenbergTransformer.`getPT()`	Returns the transpose of the matrix P of the transform.
`RealMatrix`	SchurTransformer.`getPT()`	Returns the transpose of the matrix P of the transform.
`RealMatrix`	QRDecomposition.`getQ()`	Returns the matrix Q of the decomposition.
`RealMatrix`	QRDecomposition.`getQT()`	Returns the transpose of the matrix Q of the decomposition.
`RealMatrix`	QRDecomposition.`getR()`	Returns the matrix R of the decomposition.
`RealMatrix`	RectangularCholeskyDecomposition.`getRootMatrix()`	Get the root of the covariance matrix.
`RealMatrix`	AbstractRealMatrix.`getRowMatrix(int row)`	Get the entries at the given row index as a row matrix.
`RealMatrix`	RealMatrix.`getRowMatrix(int row)`	Get the entries at the given row index as a row matrix.
`RealMatrix`	SingularValueDecomposition.`getS()`	Returns the diagonal matrix Σ of the decomposition.
`RealMatrix`	EigenDecompositionSymmetric.`getSquareRoot()`	Computes the square-root of the matrix.
`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`	Array2DRowRealMatrix.`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`	SchurTransformer.`getT()`	Returns the quasi-triangular Schur matrix T of the transform.
`RealMatrix`	LUDecomposition.`getU()`	Returns the matrix U of the decomposition.
`RealMatrix`	SingularValueDecomposition.`getU()`	Returns the matrix U of the decomposition.
`RealMatrix`	SingularValueDecomposition.`getUT()`	Returns the transpose of the matrix U of the decomposition.
`RealMatrix`	EigenDecompositionNonSymmetric.`getV()`	Gets the matrix V of the decomposition.
`RealMatrix`	EigenDecompositionSymmetric.`getV()`	Gets the matrix V of the decomposition.
`RealMatrix`	SingularValueDecomposition.`getV()`	Returns the matrix V of the decomposition.
`RealMatrix`	EigenDecompositionNonSymmetric.`getVInv()`	Gets the inverse of the matrix V of the decomposition.
`RealMatrix`	EigenDecompositionSymmetric.`getVT()`	Gets the transpose of the matrix V of the decomposition.
`RealMatrix`	SingularValueDecomposition.`getVT()`	Returns the transpose of the matrix V of the decomposition.
`static RealMatrix`	MatrixUtils.`inverse(RealMatrix matrix)`	Computes the inverse of the given matrix.
`static RealMatrix`	MatrixUtils.`inverse(RealMatrix matrix, double threshold)`	Computes the inverse of the given matrix.
`RealMatrix`	Array2DRowRealMatrix.`kroneckerProduct(RealMatrix b)`	Kronecker product of the current matrix and the parameter matrix.
`default RealMatrix`	RealMatrix.`map(UnivariateFunction function)`	Acts as if implemented as:
`default RealMatrix`	RealMatrix.`mapToSelf(UnivariateFunction function)`	Replace each entry by the result of applying the function to it.
`static RealMatrix`	MatrixUtils.`matrixExponential(RealMatrix rm)`	Computes the matrix exponential of the given matrix.
`RealMatrix`	AbstractRealMatrix.`multiply(RealMatrix m)`	Returns the result of postmultiplying `this` by `m`.
`RealMatrix`	DiagonalMatrix.`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`	Array2DRowRealMatrix.`multiplyTransposed(Array2DRowRealMatrix m)`	Returns the result of postmultiplying `this` by `m^T`.
`RealMatrix`	Array2DRowRealMatrix.`multiplyTransposed(RealMatrix m)`	Returns the result of postmultiplying `this` by `m^T`.
`RealMatrix`	DiagonalMatrix.`multiplyTransposed(RealMatrix m)`	Returns the result of postmultiplying `this` by `m^T`.
`RealMatrix`	OpenMapRealMatrix.`multiplyTransposed(RealMatrix m)`	Returns the result of postmultiplying `this` by `m^T`.
`default RealMatrix`	RealMatrix.`multiplyTransposed(RealMatrix m)`	Returns the result of postmultiplying `this` by `m^T`.
`RealMatrix`	ArrayRealVector.`outerProduct(RealVector v)`	Compute the outer product.
`RealMatrix`	RealVector.`outerProduct(RealVector v)`	Compute the outer product.
`RealMatrix`	RealMatrixFormat.`parse(String source)`	Parse a string to produce a `RealMatrix` object.
`RealMatrix`	RealMatrixFormat.`parse(String source, ParsePosition pos)`	Parse a string to produce a `RealMatrix` object.
`RealMatrix`	AbstractRealMatrix.`power(int p)`	Returns the result of multiplying `this` with itself `p` times.
`RealMatrix`	RealMatrix.`power(int p)`	Returns the result of multiplying `this` with itself `p` times.
`RealMatrix`	AbstractRealMatrix.`preMultiply(RealMatrix m)`	Returns the result of premultiplying `this` by `m`.
`RealMatrix`	RealMatrix.`preMultiply(RealMatrix m)`	Returns the result of 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 of multiplying each entry of `this` by `d`.
`RealMatrix`	BlockRealMatrix.`scalarMultiply(double d)`	Returns the result of multiplying each entry of `this` by `d`.
`RealMatrix`	RealMatrix.`scalarMultiply(double d)`	Returns the result of multiplying each entry of `this` by `d`.
`RealMatrix`	DecompositionSolver.`solve(RealMatrix b)`	Solve the linear equation A × X = B for matrices A.
`RealMatrix`	Array2DRowRealMatrix.`stack()`	Transforms a matrix in a vector (Vectorization).
`RealMatrix`	AbstractRealMatrix.`subtract(RealMatrix m)`	Returns `this` minus `m`.
`RealMatrix`	RealMatrix.`subtract(RealMatrix m)`	Returns `this` minus `m`.
`RealMatrix`	AbstractRealMatrix.`transpose()`	Returns the transpose of this matrix.
`RealMatrix`	RealMatrix.`transpose()`	Returns the transpose of this matrix.
`RealMatrix`	Array2DRowRealMatrix.`transposeMultiply(Array2DRowRealMatrix m)`	Returns the result of postmultiplying `this^T` by `m`.
`RealMatrix`	Array2DRowRealMatrix.`transposeMultiply(RealMatrix m)`	Returns the result of postmultiplying `this^T` by `m`.
`RealMatrix`	DiagonalMatrix.`transposeMultiply(RealMatrix m)`	Returns the result of postmultiplying `this^T` by `m`.
`RealMatrix`	OpenMapRealMatrix.`transposeMultiply(RealMatrix m)`	Returns the result of postmultiplying `this^T` by `m`.
`default RealMatrix`	RealMatrix.`transposeMultiply(RealMatrix m)`	Returns the result of postmultiplying `this^T` by `m`.
`RealMatrix`	Array2DRowRealMatrix.`unstackSquare()`	Transforms a one-column stacked matrix into a squared matrix (devectorization).

Methods in org.hipparchus.linear with parameters of type RealMatrix
Modifier and Type	Method	Description
`RealMatrix`	AbstractRealMatrix.`add(RealMatrix m)`	Returns the sum of `this` and `m`.
`BlockRealMatrix`	BlockRealMatrix.`add(RealMatrix m)`	Returns the sum of `this` and `m`.
`RealMatrix`	RealMatrix.`add(RealMatrix m)`	Returns the sum of `this` and `m`.
`default RealMatrix`	RealMatrix.`blendArithmeticallyWith(RealMatrix other, double blendingValue)`	Blend arithmetically this instance with another one.
`static RealMatrix`	MatrixUtils.`blockInverse(RealMatrix m, int splitIndex)`	Computes the inverse of the given matrix by splitting it into 4 sub-matrices.
`protected void`	ComplexEigenDecomposition.`checkDefinition(RealMatrix matrix)`	Check definition of the decomposition in runtime.
`static void`	MatrixUtils.`checkSymmetric(RealMatrix matrix, double eps)`	Checks whether a matrix is symmetric.
`DecompositionSolver`	CholeskyDecomposer.`decompose(RealMatrix a)`	Get a solver for finding the A × X = B solution in least square sense.
`DecompositionSolver`	LUDecomposer.`decompose(RealMatrix a)`	Get a solver for finding the A × X = B solution in least square sense.
`DecompositionSolver`	MatrixDecomposer.`decompose(RealMatrix a)`	Get a solver for finding the A × X = B solution in least square sense.
`DecompositionSolver`	QRDecomposer.`decompose(RealMatrix a)`	Get a solver for finding the A × X = B solution in least square sense.
`DecompositionSolver`	SingularValueDecomposer.`decompose(RealMatrix a)`	Get a solver for finding the A × X = B solution in least square sense.
`protected void`	ComplexEigenDecomposition.`findEigenValues(RealMatrix matrix)`	Compute eigen values using the Schur transform.
`String`	RealMatrixFormat.`format(RealMatrix m)`	This method calls `RealMatrixFormat.format(RealMatrix,StringBuffer,FieldPosition)`.
`StringBuffer`	RealMatrixFormat.`format(RealMatrix matrix, StringBuffer toAppendTo, FieldPosition pos)`	Formats a `RealMatrix` object to produce a string.
`static RealMatrix`	MatrixUtils.`inverse(RealMatrix matrix)`	Computes the inverse of the given matrix.
`static RealMatrix`	MatrixUtils.`inverse(RealMatrix matrix, double threshold)`	Computes the inverse of the given matrix.
`static boolean`	MatrixUtils.`isSymmetric(RealMatrix matrix, double eps)`	Checks whether a matrix is symmetric.
`RealMatrix`	Array2DRowRealMatrix.`kroneckerProduct(RealMatrix b)`	Kronecker product of the current matrix and the parameter matrix.
`static RealMatrix`	MatrixUtils.`matrixExponential(RealMatrix rm)`	Computes the matrix exponential of the given matrix.
`RealMatrix`	AbstractRealMatrix.`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`	DiagonalMatrix.`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`	Array2DRowRealMatrix.`multiplyTransposed(RealMatrix m)`	Returns the result of postmultiplying `this` by `m^T`.
`BlockRealMatrix`	BlockRealMatrix.`multiplyTransposed(RealMatrix m)`	Returns the result of postmultiplying `this` by `m^T`.
`RealMatrix`	DiagonalMatrix.`multiplyTransposed(RealMatrix m)`	Returns the result of postmultiplying `this` by `m^T`.
`RealMatrix`	OpenMapRealMatrix.`multiplyTransposed(RealMatrix m)`	Returns the result of postmultiplying `this` by `m^T`.
`default RealMatrix`	RealMatrix.`multiplyTransposed(RealMatrix m)`	Returns the result of postmultiplying `this` by `m^T`.
`RealMatrix`	AbstractRealMatrix.`preMultiply(RealMatrix m)`	Returns the result of premultiplying `this` by `m`.
`RealMatrix`	RealMatrix.`preMultiply(RealMatrix m)`	Returns the result of premultiplying `this` by `m`.
`void`	AbstractRealMatrix.`setColumnMatrix(int column, RealMatrix matrix)`	Sets the specified `column` of `this` matrix to the entries of the specified column `matrix`.
`void`	BlockRealMatrix.`setColumnMatrix(int column, RealMatrix matrix)`	Sets the specified `column` of `this` matrix to the entries of the specified column `matrix`.
`void`	RealMatrix.`setColumnMatrix(int column, RealMatrix matrix)`	Sets the specified `column` of `this` matrix to the entries of the specified column `matrix`.
`void`	AbstractRealMatrix.`setRowMatrix(int row, RealMatrix matrix)`	Sets the specified `row` of `this` matrix to the entries of the specified row `matrix`.
`void`	BlockRealMatrix.`setRowMatrix(int row, RealMatrix matrix)`	Sets the specified `row` of `this` matrix to the entries of the specified row `matrix`.
`void`	RealMatrix.`setRowMatrix(int row, RealMatrix matrix)`	Sets the specified `row` of `this` matrix to the entries of the specified row `matrix`.
`RealMatrix`	DecompositionSolver.`solve(RealMatrix b)`	Solve the linear equation A × X = B for matrices A.
`static void`	MatrixUtils.`solveLowerTriangularSystem(RealMatrix rm, RealVector b)`	Solve a system of composed of a Lower Triangular Matrix `RealMatrix`.
`static void`	MatrixUtils.`solveUpperTriangularSystem(RealMatrix rm, RealVector b)`	Solver a system composed of an Upper Triangular Matrix `RealMatrix`.
`RealMatrix`	AbstractRealMatrix.`subtract(RealMatrix m)`	Returns `this` minus `m`.
`BlockRealMatrix`	BlockRealMatrix.`subtract(RealMatrix m)`	Returns `this` minus `m`.
`OpenMapRealMatrix`	OpenMapRealMatrix.`subtract(RealMatrix m)`	Returns `this` minus `m`.
`RealMatrix`	RealMatrix.`subtract(RealMatrix m)`	Returns `this` minus `m`.
`RealMatrix`	Array2DRowRealMatrix.`transposeMultiply(RealMatrix m)`	Returns the result of postmultiplying `this^T` by `m`.
`BlockRealMatrix`	BlockRealMatrix.`transposeMultiply(RealMatrix m)`	Returns the result of postmultiplying `this^T` by `m`.
`RealMatrix`	DiagonalMatrix.`transposeMultiply(RealMatrix m)`	Returns the result of postmultiplying `this^T` by `m`.
`RealMatrix`	OpenMapRealMatrix.`transposeMultiply(RealMatrix m)`	Returns the result of postmultiplying `this^T` by `m`.
`default RealMatrix`	RealMatrix.`transposeMultiply(RealMatrix m)`	Returns the result of postmultiplying `this^T` by `m`.

Constructors in org.hipparchus.linear with parameters of type RealMatrix
Constructor	Description
`CholeskyDecomposition(RealMatrix matrix)`	Calculates the Cholesky decomposition of the given matrix.
`CholeskyDecomposition(RealMatrix matrix, double relativeSymmetryThreshold, double absolutePositivityThreshold)`	Calculates the Cholesky decomposition of the given matrix.
`ComplexEigenDecomposition(RealMatrix matrix)`	Constructor for decomposition.
`ComplexEigenDecomposition(RealMatrix matrix, double eigenVectorsEquality, double epsilon, double epsilonAVVDCheck)`	Constructor for decomposition.
`EigenDecompositionNonSymmetric(RealMatrix matrix)`	Calculates the eigen decomposition of the given real matrix.
`EigenDecompositionNonSymmetric(RealMatrix matrix, double epsilon)`	Calculates the eigen decomposition of the given real matrix.
`EigenDecompositionSymmetric(RealMatrix matrix)`	Calculates the eigen decomposition of the given symmetric real matrix.
`EigenDecompositionSymmetric(RealMatrix matrix, double epsilon, boolean decreasing)`	Calculates the eigen decomposition of the given real matrix.
`HessenbergTransformer(RealMatrix matrix)`	Build the transformation to Hessenberg form of a general matrix.
`LUDecomposition(RealMatrix matrix)`	Calculates the LU-decomposition of the given matrix.
`LUDecomposition(RealMatrix matrix, double singularityThreshold)`	Calculates the LU-decomposition of the given matrix.
`OrderedComplexEigenDecomposition(RealMatrix matrix)`	Constructor for the decomposition.
`OrderedComplexEigenDecomposition(RealMatrix matrix, double eigenVectorsEquality, double epsilon, double epsilonAVVDCheck)`	Constructor for decomposition.
`OrderedComplexEigenDecomposition(RealMatrix matrix, double eigenVectorsEquality, double epsilon, double epsilonAVVDCheck, Comparator<Complex> eigenValuesComparator)`	Constructor for decomposition.
`QRDecomposition(RealMatrix matrix)`	Calculates the QR-decomposition of the given matrix.
`QRDecomposition(RealMatrix matrix, double threshold)`	Calculates the QR-decomposition of the given matrix.
`RectangularCholeskyDecomposition(RealMatrix matrix)`	Decompose a symmetric positive semidefinite matrix.
`RectangularCholeskyDecomposition(RealMatrix matrix, double small)`	Decompose a symmetric positive semidefinite matrix.
`RiccatiEquationSolverImpl(RealMatrix A, RealMatrix B, RealMatrix Q, RealMatrix R)`	Constructor of the solver.
`RRQRDecomposition(RealMatrix matrix)`	Calculates the QR-decomposition of the given matrix.
`RRQRDecomposition(RealMatrix matrix, double threshold)`	Calculates the QR-decomposition of the given matrix.
`SchurTransformer(RealMatrix matrix)`	Build the transformation to Schur form of a general real matrix.
`SchurTransformer(RealMatrix matrix, double epsilon)`	Build the transformation to Schur form of a general real matrix.
`SemiDefinitePositiveCholeskyDecomposition(RealMatrix matrix)`	Calculates the Cholesky decomposition of the given matrix.
`SemiDefinitePositiveCholeskyDecomposition(RealMatrix matrix, double positivityThreshold)`	Calculates the Cholesky decomposition of the given matrix.
`SingularValueDecomposition(RealMatrix matrix)`	Calculates the compact Singular Value Decomposition of the given matrix.

Uses of RealMatrix in org.hipparchus.random

Methods in org.hipparchus.random that return RealMatrix
Modifier and Type	Method	Description
`RealMatrix`	CorrelatedRandomVectorGenerator.`getRootMatrix()`	Get the root of the covariance matrix.

Constructors in org.hipparchus.random with parameters of type RealMatrix
Constructor	Description
`CorrelatedRandomVectorGenerator(double[] mean, RealMatrix covariance, double small, NormalizedRandomGenerator generator)`	Builds a correlated random vector generator from its mean vector and covariance matrix.
`CorrelatedRandomVectorGenerator(RealMatrix covariance, double small, NormalizedRandomGenerator generator)`	Builds a null mean random correlated vector generator from its covariance matrix.

Uses of RealMatrix in org.hipparchus.util

Methods in org.hipparchus.util that return RealMatrix
Modifier and Type	Method	Description
`default RealMatrix`	UnscentedTransformProvider.`getUnscentedCovariance(RealVector[] sigmaPoints, RealVector meanState)`	Computes the unscented covariance matrix from a weighted mean state and a set of sigma points.

Methods in org.hipparchus.util that return types with arguments of type RealMatrix
Modifier and Type	Method	Description
`default Pair<RealVector,RealMatrix>`	UnscentedTransformProvider.`inverseUnscentedTransform(RealVector[] sigmaPoints)`	Perform the inverse unscented transform from an array of sigma points.

Methods in org.hipparchus.util with parameters of type RealMatrix
Modifier and Type	Method	Description
`RealVector[]`	AbstractUnscentedTransform.`unscentedTransform(RealVector state, RealMatrix covariance)`	Perform the unscented transform from a state and its covariance.
`RealVector[]`	UnscentedTransformProvider.`unscentedTransform(RealVector state, RealMatrix covariance)`	Perform the unscented transform from a state and its covariance.

Uses of Interfaceorg.hipparchus.linear.RealMatrix

Uses of RealMatrix in org.hipparchus.distribution.multivariate

Uses of RealMatrix in org.hipparchus.linear

Uses of RealMatrix in org.hipparchus.random

Uses of RealMatrix in org.hipparchus.util

Uses of Interface
org.hipparchus.linear.RealMatrix