Uses of Interface
fr.cnes.sirius.patrius.math.linear.RealMatrix

Packages that use RealMatrix

Package	Description
fr.cnes.sirius.patrius.frames
fr.cnes.sirius.patrius.math.distribution
fr.cnes.sirius.patrius.math.filter
fr.cnes.sirius.patrius.math.geometry.euclidean.threed
fr.cnes.sirius.patrius.math.linear
fr.cnes.sirius.patrius.math.optim.joptimizer.algebra
fr.cnes.sirius.patrius.math.optim.joptimizer.functions
fr.cnes.sirius.patrius.math.optim.joptimizer.optimizers
fr.cnes.sirius.patrius.math.optim.joptimizer.solvers
fr.cnes.sirius.patrius.math.optim.joptimizer.util
fr.cnes.sirius.patrius.math.optim.nonlinear.scalar
fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv
fr.cnes.sirius.patrius.math.optim.nonlinear.vector
fr.cnes.sirius.patrius.math.optim.nonlinear.vector.jacobian
fr.cnes.sirius.patrius.math.random	Random number and random data generators.
fr.cnes.sirius.patrius.math.stat.correlation
fr.cnes.sirius.patrius.math.stat.descriptive
fr.cnes.sirius.patrius.math.stat.descriptive.moment
fr.cnes.sirius.patrius.math.stat.regression
fr.cnes.sirius.patrius.orbits
fr.cnes.sirius.patrius.propagation.analytical
fr.cnes.sirius.patrius.propagation.analytical.covariance

Uses of RealMatrix in fr.cnes.sirius.patrius.frames

Methods in fr.cnes.sirius.patrius.frames that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	Frame.getTransformJacobian(Frame to, AbsoluteDate date) Compute the Jacobian from current frame to target frame at provided date.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.distribution

Methods in fr.cnes.sirius.patrius.math.distribution that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	MultivariateNormalDistribution.getCovariances() Gets the covariance matrix.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.filter

Methods in fr.cnes.sirius.patrius.math.filter that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	DefaultProcessModel.getControlMatrix() Returns the control matrix.
RealMatrix	ProcessModel.getControlMatrix() Returns the control matrix.
RealMatrix	KalmanFilter.getErrorCovarianceMatrix() Returns a copy of the current error covariance matrix.
RealMatrix	DefaultProcessModel.getInitialErrorCovariance() Returns the initial error covariance matrix.
RealMatrix	ProcessModel.getInitialErrorCovariance() Returns the initial error covariance matrix.
RealMatrix	MeasurementModel.getMeasurementMatrix() Returns the measurement matrix.
RealMatrix	DefaultMeasurementModel.getMeasurementMatrix() Returns the measurement matrix.
RealMatrix	MeasurementModel.getMeasurementNoise() Returns the measurement noise matrix.
RealMatrix	DefaultMeasurementModel.getMeasurementNoise() Returns the measurement noise matrix.
RealMatrix	DefaultProcessModel.getProcessNoise() Returns the process noise matrix.
RealMatrix	ProcessModel.getProcessNoise() Returns the process noise matrix.
RealMatrix	DefaultProcessModel.getStateTransitionMatrix() Returns the state transition matrix.
RealMatrix	ProcessModel.getStateTransitionMatrix() Returns the state transition matrix.

Constructors in fr.cnes.sirius.patrius.math.filter with parameters of type RealMatrix

Constructor and Description
DefaultMeasurementModel(RealMatrix measMatrix, RealMatrix measNoise) Create a new MeasurementModel, taking RealMatrix objects as input parameters for the respective measurement matrix and noise.
DefaultProcessModel(RealMatrix stateTransition, RealMatrix control, RealMatrix processNoise, RealVector initialStateEstimate, RealMatrix initialErrorCovariance) Create a new ProcessModel, taking double arrays as input parameters.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.geometry.euclidean.threed

Methods in fr.cnes.sirius.patrius.math.geometry.euclidean.threed that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	Matrix3D.getRealMatrix()

Constructors in fr.cnes.sirius.patrius.math.geometry.euclidean.threed with parameters of type RealMatrix

Constructor and Description
Matrix3D(RealMatrix matrix) Constructor Creates a Matrix3D with a RealMatrix.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.linear

Subinterfaces of RealMatrix in fr.cnes.sirius.patrius.math.linear

Modifier and Type	Interface and Description
interface	SymmetricMatrix Interface for symmetric matrices.
interface	SymmetricPositiveMatrix Interface for symmetric positive semi-definite matrices.

Classes in fr.cnes.sirius.patrius.math.linear that implement RealMatrix

Modifier and Type	Class and 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	ArrayRowSymmetricMatrix Symmetric matrix defined by its lower triangular part.
class	BlockRealMatrix Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
class	DecomposedSymmetricPositiveMatrix Stores a symmetric positive semi-definite matrix as A = B×BT.
class	DiagonalMatrix Implementation of a diagonal matrix.

Methods in fr.cnes.sirius.patrius.math.linear that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	DecomposedSymmetricPositiveMatrix.add(RealMatrix m) Returns the sum of this and m.
RealMatrix	AbstractRealMatrix.add(RealMatrix m) Returns the sum of this and m.
RealMatrix	RealMatrix.add(RealMatrix m) Returns the sum of this and m.
RealMatrix	DiagonalMatrix.add(RealMatrix m) Returns the sum of this and m.
RealMatrix	ArrayRowSymmetricMatrix.add(RealMatrix m) Returns the sum of this and m.
static RealMatrix	MatrixUtils.blockInverse(RealMatrix m, int splitIndex) Computes the inverse of the given matrix by splitting it into 4 sub-matrices.
RealMatrix	AbstractRealMatrix.concatenateDiagonally(RealMatrix matrix, boolean lowerRightMatrix) Concatenate this and matrix vertically.
RealMatrix	RealMatrix.concatenateDiagonally(RealMatrix matrix, boolean lowerRightMatrix) Concatenate this and matrix vertically.
RealMatrix	AbstractRealMatrix.concatenateHorizontally(RealMatrix matrix, boolean rightMatrix) Concatenate this and matrix horizontally.
RealMatrix	RealMatrix.concatenateHorizontally(RealMatrix matrix, boolean rightMatrix) Concatenate this and matrix horizontally.
static RealMatrix	MatrixUtils.concatenateHorizontally(RealMatrix left, RealMatrix right) Concatenates two matrices horizontally.
RealMatrix	AbstractRealMatrix.concatenateVertically(RealMatrix matrix, boolean lowerMatrix) Concatenate this and matrix vertically.
RealMatrix	RealMatrix.concatenateVertically(RealMatrix matrix, boolean lowerMatrix) Concatenate this and matrix vertically.
static RealMatrix	MatrixUtils.concatenateVertically(RealMatrix upper, RealMatrix lower) Concatenates two matrices vertically.
RealMatrix	Array2DRowRealMatrix.copy() Returns a (deep) copy of this.
abstract RealMatrix	AbstractRealMatrix.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.
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.
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	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.createRealIdentityMatrix(int dimension, boolean returnDiagonalMatrix) 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(double[][] data, boolean forceCopyArray) 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	DecomposedSymmetricPositiveMatrix.getB() Gets the matrix B of the decomposition A = B×BT of this matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.getBT() Gets the matrix BT of the decomposition A = B×BT of this matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.getColumnMatrix(int column) Get the entries at the given column index as a column matrix.
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	DiagonalMatrix.getColumnMatrix(int column) Get the entries at the given column index as a column matrix.
RealMatrix	ArrayRowSymmetricMatrix.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	UDDecomposition.getD() Returns the matrix D of the decomposition.
RealMatrix	EigenDecomposition.getD() Gets the block diagonal matrix D of the decomposition.
RealMatrix	UDDecompositionImpl.getD() get the D matrix
RealMatrix	QRDecomposition.getH() Returns the Householder reflector vectors.
RealMatrix	DecompositionSolver.getInverse() Get the inverse (or pseudo-inverse) of the decomposed matrix.
RealMatrix	AbstractRealMatrix.getInverse() Get the inverse (or pseudo-inverse) of the decomposed matrix.
RealMatrix	RealMatrix.getInverse() Get the inverse (or pseudo-inverse) of the decomposed matrix.
RealMatrix	AbstractRealMatrix.getInverse(Decomposition decomposition) Get the inverse (or pseudo-inverse) matrix computed with the given decomposition algorithm.
RealMatrix	RealMatrix.getInverse(Decomposition decomposition) Get the inverse (or pseudo-inverse) matrix computed with the given decomposition algorithm.
RealMatrix	LUDecomposition.getL() Returns the matrix L of the decomposition.
RealMatrix	CholeskyDecomposition.getL() Returns the matrix L of the decomposition.
RealMatrix	CholeskyDecomposition.getLT() Returns the transpose of the matrix L of the decomposition.
RealMatrix	LUDecomposition.getP() Returns the P rows permutation matrix.
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	QRDecomposition.getR(boolean compactForm) Returns the matrix R of the decomposition in its compact form (n × n) or in its full form (m × n).
RealMatrix	DecomposedSymmetricPositiveMatrix.getResizedB() Gets the matrix B after reducing or extending it to match this matrix's dimensions.
RealMatrix	DecomposedSymmetricPositiveMatrix.getResizedBT() Gets the matrix BT after reducing or extending it to match this matrix's dimensions.
RealMatrix	RectangularCholeskyDecomposition.getRootMatrix() Get the root of the covariance matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.getRowMatrix(int row) Get the entries at the given row index as a row 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	DiagonalMatrix.getRowMatrix(int row) Get the entries at the given row index as a row matrix.
RealMatrix	ArrayRowSymmetricMatrix.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	EigenDecomposition.getSquareRoot() Computes the square-root of the matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns) Gets a submatrix.
RealMatrix	AbstractRealMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns) Gets a submatrix.
RealMatrix	RealMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns) Gets a submatrix.
RealMatrix	DiagonalMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns) Gets a submatrix.
RealMatrix	ArrayRowSymmetricMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns) Gets a submatrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn) Gets a submatrix.
RealMatrix	AbstractRealMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn) Gets a submatrix.
RealMatrix	RealMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn) Gets a submatrix.
RealMatrix	DiagonalMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn) Gets a submatrix.
RealMatrix	ArrayRowSymmetricMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn) Gets a submatrix.
RealMatrix	UDDecomposition.getU() Returns the matrix U of the decomposition.
RealMatrix	SingularValueDecomposition.getU() Returns the matrix U of the decomposition.
RealMatrix	LUDecomposition.getU() Returns the matrix U of the decomposition.
RealMatrix	UDDecompositionImpl.getU() Get the U matrix
RealMatrix	UDDecomposition.getUT() Returns the transpose of the matrix U of the decomposition.
RealMatrix	SingularValueDecomposition.getUT() Returns the transpose of the matrix U of the decomposition.
RealMatrix	UDDecompositionImpl.getUT() get the UT matrix
RealMatrix	SingularValueDecomposition.getV() Returns the matrix V of the decomposition.
RealMatrix	EigenDecomposition.getV() Gets the matrix V of the decomposition.
RealMatrix	SingularValueDecomposition.getVT() Returns the transpose of the matrix V of the decomposition.
RealMatrix	EigenDecomposition.getVT() Gets the transpose of the matrix V of the decomposition.
RealMatrix	AbstractRealMatrix.multiply(DiagonalMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying d × this × m (independently from the toTranspose parameter value as we use diagonal matrix).
RealMatrix	DecomposedSymmetricPositiveMatrix.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	AbstractRealMatrix.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	DiagonalMatrix.multiply(RealMatrix m) Returns the result of postmultiplying this by m.
RealMatrix	BlockRealMatrix.multiply(RealMatrix m) Returns the result of postmultiplying this by m.
RealMatrix	DecomposedSymmetricPositiveMatrix.multiply(RealMatrix m, boolean toTranspose) Returns the result of postmultiplying this × m (if isTranspose = false) or this × mT (if isTranspose = true)
RealMatrix	Array2DRowRealMatrix.multiply(RealMatrix m, boolean toTranspose) Returns the result of postmultiplying this × m (if isTranspose = false) or this × mT (if isTranspose = true)
RealMatrix	AbstractRealMatrix.multiply(RealMatrix m, boolean toTranspose) Returns the result of postmultiplying this × m (if isTranspose = false) or this × mT (if isTranspose = true)
RealMatrix	RealMatrix.multiply(RealMatrix m, boolean isTranspose) Returns the result of postmultiplying this × m (if isTranspose = false) or this × mT (if isTranspose = true)
RealMatrix	DiagonalMatrix.multiply(RealMatrix m, boolean toTranspose) Returns the result of postmultiplying this × m (if isTranspose = false) or this × mT (if isTranspose = true)
RealMatrix	BlockRealMatrix.multiply(RealMatrix m, boolean toTranspose) Returns the result of postmultiplying this × m (if isTranspose = false) or this × mT (if isTranspose = true)
RealMatrix	DecomposedSymmetricPositiveMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying d × this × m (if toTranspose = false ) or d × this × mT (if toTranspose = true)
RealMatrix	Array2DRowRealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying d × this × m (if toTranspose = false ) or d × this × mT (if toTranspose = true)
RealMatrix	AbstractRealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying d × this × m (if toTranspose = false ) or d × this × mT (if toTranspose = true)
RealMatrix	RealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying d × this × m (if toTranspose = false ) or d × this × mT (if toTranspose = true)
RealMatrix	DiagonalMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying d × this × m (if toTranspose = false ) or d × this × mT (if toTranspose = true)
RealMatrix	BlockRealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying d × this × m (if toTranspose = false ) or d × this × mT (if toTranspose = true)
RealMatrix	DecomposedSymmetricPositiveMatrix.multiply(SymmetricMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying d × this × m (independently from the toTranspose parameter value as we use diagonal matrix).
static RealMatrix	MatrixUtils.multiplyByTranspose(double alpha, RealMatrix matrixL, RealMatrix matrixR) Multiplies the matrix L by RT and by a scalar factor α.
static RealMatrix	MatrixUtils.multiplyByTranspose(RealMatrix matrixL, RealMatrix matrixR) Multiplies the matrix L by RT.
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.
static RealMatrix	MatrixUtils.resize(RealMatrix matrix, int rowDim, int colDim) Resizes the provided matrix to a NxM matrix.
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	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	DecomposedSymmetricPositiveMatrix.subtract(RealMatrix m) Returns this minus m.
RealMatrix	AbstractRealMatrix.subtract(RealMatrix m) Returns this minus m.
RealMatrix	RealMatrix.subtract(RealMatrix m) Returns this minus m.
RealMatrix	DiagonalMatrix.subtract(RealMatrix m) Returns this minus m.
RealMatrix	ArrayRowSymmetricMatrix.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.

Methods in fr.cnes.sirius.patrius.math.linear with parameters of type RealMatrix

Modifier and Type	Method and Description
RealMatrix	DecomposedSymmetricPositiveMatrix.add(RealMatrix m) Returns the sum of this and m.
RealMatrix	AbstractRealMatrix.add(RealMatrix m) Returns the sum of this and m.
RealMatrix	RealMatrix.add(RealMatrix m) Returns the sum of this and m.
RealMatrix	DiagonalMatrix.add(RealMatrix m) Returns the sum of this and m.
BlockRealMatrix	BlockRealMatrix.add(RealMatrix m) Returns the sum of this and m.
RealMatrix	ArrayRowSymmetricMatrix.add(RealMatrix m) Returns the sum of this and m.
static RealMatrix	MatrixUtils.blockInverse(RealMatrix m, int splitIndex) Computes the inverse of the given matrix by splitting it into 4 sub-matrices.
static void	MatrixUtils.checkSymmetric(RealMatrix matrix, double eps) Checks whether a matrix is symmetric.
static void	MatrixUtils.checkSymmetry(RealMatrix matrix, double absTol, double relTol) Check if the matrix is symmetric.
RealMatrix	AbstractRealMatrix.concatenateDiagonally(RealMatrix matrix, boolean lowerRightMatrix) Concatenate this and matrix vertically.
RealMatrix	RealMatrix.concatenateDiagonally(RealMatrix matrix, boolean lowerRightMatrix) Concatenate this and matrix vertically.
RealMatrix	AbstractRealMatrix.concatenateHorizontally(RealMatrix matrix, boolean rightMatrix) Concatenate this and matrix horizontally.
RealMatrix	RealMatrix.concatenateHorizontally(RealMatrix matrix, boolean rightMatrix) Concatenate this and matrix horizontally.
static RealMatrix	MatrixUtils.concatenateHorizontally(RealMatrix left, RealMatrix right) Concatenates two matrices horizontally.
RealMatrix	AbstractRealMatrix.concatenateVertically(RealMatrix matrix, boolean lowerMatrix) Concatenate this and matrix vertically.
RealMatrix	RealMatrix.concatenateVertically(RealMatrix matrix, boolean lowerMatrix) Concatenate this and matrix vertically.
static RealMatrix	MatrixUtils.concatenateVertically(RealMatrix upper, RealMatrix lower) Concatenates two matrices vertically.
void	QRDecomposition.decompose(RealMatrix matrix) Run the decomposition process on the input matrix.
void	SingularValueDecomposition.decompose(RealMatrix matrix) Run the decomposition process on the input matrix.
void	EigenDecomposition.decompose(RealMatrix matrix) Run the decomposition process on the input matrix.
void	LUDecomposition.decompose(RealMatrix matrix) Run the decomposition process on the input matrix.
void	Decomposition.decompose(RealMatrix matrix) Run the decomposition process on the input matrix.
void	UDDecompositionImpl.decompose(RealMatrix matrix) Run the decomposition process on the input matrix.
void	CholeskyDecomposition.decompose(RealMatrix matrix) Run the decomposition process on the input matrix.
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.
RealMatrix	DecomposedSymmetricPositiveMatrix.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	AbstractRealMatrix.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	DiagonalMatrix.multiply(RealMatrix m) Returns the result of postmultiplying this by m.
RealMatrix	BlockRealMatrix.multiply(RealMatrix m) Returns the result of postmultiplying this by m.
RealMatrix	DecomposedSymmetricPositiveMatrix.multiply(RealMatrix m, boolean toTranspose) Returns the result of postmultiplying this × m (if isTranspose = false) or this × mT (if isTranspose = true)
RealMatrix	Array2DRowRealMatrix.multiply(RealMatrix m, boolean toTranspose) Returns the result of postmultiplying this × m (if isTranspose = false) or this × mT (if isTranspose = true)
RealMatrix	AbstractRealMatrix.multiply(RealMatrix m, boolean toTranspose) Returns the result of postmultiplying this × m (if isTranspose = false) or this × mT (if isTranspose = true)
RealMatrix	RealMatrix.multiply(RealMatrix m, boolean isTranspose) Returns the result of postmultiplying this × m (if isTranspose = false) or this × mT (if isTranspose = true)
RealMatrix	DiagonalMatrix.multiply(RealMatrix m, boolean toTranspose) Returns the result of postmultiplying this × m (if isTranspose = false) or this × mT (if isTranspose = true)
RealMatrix	BlockRealMatrix.multiply(RealMatrix m, boolean toTranspose) Returns the result of postmultiplying this × m (if isTranspose = false) or this × mT (if isTranspose = true)
RealMatrix	DecomposedSymmetricPositiveMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying d × this × m (if toTranspose = false ) or d × this × mT (if toTranspose = true)
RealMatrix	Array2DRowRealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying d × this × m (if toTranspose = false ) or d × this × mT (if toTranspose = true)
RealMatrix	AbstractRealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying d × this × m (if toTranspose = false ) or d × this × mT (if toTranspose = true)
RealMatrix	RealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying d × this × m (if toTranspose = false ) or d × this × mT (if toTranspose = true)
RealMatrix	DiagonalMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying d × this × m (if toTranspose = false ) or d × this × mT (if toTranspose = true)
RealMatrix	BlockRealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying d × this × m (if toTranspose = false ) or d × this × mT (if toTranspose = true)
static RealMatrix	MatrixUtils.multiplyByTranspose(double alpha, RealMatrix matrixL, RealMatrix matrixR) Multiplies the matrix L by RT and by a scalar factor α.
static RealMatrix	MatrixUtils.multiplyByTranspose(RealMatrix matrixL, RealMatrix matrixR) Multiplies the matrix L by RT.
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.
DecomposedSymmetricPositiveMatrix	DecomposedSymmetricPositiveMatrix.quadraticMultiplication(RealMatrix m) Gets the result of the quadratic multiplication M×S×MT, where S is this matrix and M is the provided matrix.
SymmetricMatrix	SymmetricMatrix.quadraticMultiplication(RealMatrix m) Gets the result of the quadratic multiplication M×S×MT, where S is this matrix and M is the provided matrix.
SymmetricPositiveMatrix	SymmetricPositiveMatrix.quadraticMultiplication(RealMatrix m) Gets the result of the quadratic multiplication M×S×MT, where S is this matrix and M is the provided matrix.
SymmetricMatrix	DiagonalMatrix.quadraticMultiplication(RealMatrix m) Gets the result of the quadratic multiplication M×S×MT, where S is this matrix and M is the provided matrix.
ArrayRowSymmetricMatrix	ArrayRowSymmetricMatrix.quadraticMultiplication(RealMatrix m) Gets the result of the quadratic multiplication M×S×MT, where S is this matrix and M is the provided matrix.
DecomposedSymmetricPositiveMatrix	DecomposedSymmetricPositiveMatrix.quadraticMultiplication(RealMatrix m, boolean isTranspose) Gets the result of the quadratic multiplication M×S×MT, where S is this matrix and M or MT is the provided matrix.
SymmetricMatrix	SymmetricMatrix.quadraticMultiplication(RealMatrix m, boolean isTranspose) Gets the result of the quadratic multiplication M×S×MT, where S is this matrix and M or MT is the provided matrix.
SymmetricPositiveMatrix	SymmetricPositiveMatrix.quadraticMultiplication(RealMatrix m, boolean isTranspose) Gets the result of the quadratic multiplication M×S×MT, where S is this matrix and M or MT is the provided matrix.
SymmetricMatrix	DiagonalMatrix.quadraticMultiplication(RealMatrix m, boolean isTranspose) Gets the result of the quadratic multiplication M×S×MT, where S is this matrix and M or MT is the provided matrix.
ArrayRowSymmetricMatrix	ArrayRowSymmetricMatrix.quadraticMultiplication(RealMatrix m, boolean isTranspose) Gets the result of the quadratic multiplication M×S×MT, where S is this matrix and M or MT is the provided matrix.
static RealMatrix	MatrixUtils.resize(RealMatrix matrix, int rowDim, int colDim) Resizes the provided matrix to a NxM matrix.
static void	MatrixUtils.serializeRealMatrix(RealMatrix matrix, ObjectOutputStream oos) Serialize a RealMatrix.
void	AbstractRealMatrix.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	BlockRealMatrix.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	RealMatrix.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	ArrayRowSymmetricMatrix.setSubMatrix(RealMatrix subMatrix, int row, int column) Method setSubMatrix using a RealMatrix for subMatrix instead of an array
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	DecomposedSymmetricPositiveMatrix.subtract(RealMatrix m) Returns this minus m.
RealMatrix	AbstractRealMatrix.subtract(RealMatrix m) Returns this minus m.
RealMatrix	RealMatrix.subtract(RealMatrix m) Returns this minus m.
RealMatrix	DiagonalMatrix.subtract(RealMatrix m) Returns this minus m.
BlockRealMatrix	BlockRealMatrix.subtract(RealMatrix m) Returns this minus m.
RealMatrix	ArrayRowSymmetricMatrix.subtract(RealMatrix m) Returns this minus m.

Constructors in fr.cnes.sirius.patrius.math.linear with parameters of type RealMatrix

Constructor and Description
ArrayRowSymmetricMatrix(ArrayRowSymmetricMatrix.SymmetryType symmetryType, RealMatrix matrix) Builds a new ArrayRowSymmetricMatrix from the provided matrix, using the default symmetry thresholds.
ArrayRowSymmetricMatrix(ArrayRowSymmetricMatrix.SymmetryType symmetryType, RealMatrix matrix, Double absoluteSymmetryThreshold, Double relativeSymmetryThreshold) Builds a new ArrayRowSymmetricMatrix from the provided matrix, using the specified symmetry thresholds.
CholeskyDecomposition(RealMatrix matrix) Calling this constructor is equivalent to call CholeskyDecomposition.CholeskyDecomposition(RealMatrix, double, double) with the thresholds set to the default values CholeskyDecomposition.DEFAULT_RELATIVE_SYMMETRY_THRESHOLD and CholeskyDecomposition.DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD The decomposition is directly computed on the input matrix.
CholeskyDecomposition(RealMatrix matrix, double relativeSymmetryThreshold, double absolutePositivityThreshold) Constructor used to set the relative & absolute thresholds.
DecomposedSymmetricPositiveMatrix(RealMatrix matrixB, boolean isTranspose) Builds a new SymmetricPositiveMatrix by specifying a matrix B, or a matrix BT which satisfies A = B×BT.
EigenDecomposition(RealMatrix matrix) Calculates the eigen decomposition of the given real matrix.
EigenDecomposition(RealMatrix matrix, double relativeSymmetryThreshold) Calculates the eigen decomposition of the given real matrix.
LUDecomposition(RealMatrix matrix) Simple constructor.
LUDecomposition(RealMatrix matrix, double singularityThreshold) Constructor used to set the singularity threshold.
QRDecomposition(RealMatrix matrix) Simple constructor.
QRDecomposition(RealMatrix matrix, double thresholdIn) Constructor used to set the singularity threshold.
RectangularCholeskyDecomposition(RealMatrix matrix) Decompose a symmetric positive semidefinite matrix.
RectangularCholeskyDecomposition(RealMatrix matrix, double small) Decompose a symmetric positive semidefinite matrix.
SingularValueDecomposition(RealMatrix matrix) Simple constructor.
UDDecompositionImpl(RealMatrix matrix) Calling this constructor is equivalent to call UDDecompositionImpl.UDDecompositionImpl(RealMatrix, double, double) with the thresholds set to the default values UDDecompositionImpl.DEFAULT_RELATIVE_SYMMETRY_THRESHOLD and UDDecompositionImpl.DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD.
UDDecompositionImpl(RealMatrix matrix, double relativeSymmetryThreshold, double absolutePositivityThreshold) Constructor used to set the relative & absolute thresholds.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.joptimizer.algebra

Methods in fr.cnes.sirius.patrius.math.optim.joptimizer.algebra that return RealMatrix

Modifier and Type	Method and Description
static RealMatrix	AlgebraUtils.add(RealMatrix a, RealMatrix b, double beta) Returns C = A + beta * B (linear combination).
static RealMatrix	AlgebraUtils.composeMatrix(RealMatrix[][] parts) Constructs a block matrix made from the given parts.
static RealMatrix	AlgebraUtils.diagonal(RealVector vector) Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
static RealMatrix	AlgebraUtils.diagonalMatrixMult(RealMatrix a, RealVector diagonalU) Return A.diagonalU with diagonalU diagonal.
static RealMatrix	AlgebraUtils.diagonalMatrixMult(RealVector diagonalU, RealMatrix a) Return diagonalU.A with diagonalU diagonal.
static RealMatrix	AlgebraUtils.diagonalMatrixMult(RealVector diagonalU, RealMatrix a, RealVector diagonalV) Return diagonalU.A.diagonalV with diagonalU and diagonalV diagonal.
static RealMatrix	AlgebraUtils.fillSubdiagonalSymmetricMatrix(RealMatrix s) Given a symm matrix S that stores just its subdiagonal elements, reconstructs the full symmetric matrix.
RealMatrix	CholeskyFactorization.getInverse() Compute the inverse of the matrix.
RealMatrix	CholeskyFactorization.getL() Returns the matrix L of the decomposition.
RealMatrix	CholeskyFactorization.getLT() Returns the transpose of the matrix L of the decomposition.
RealMatrix	CholeskyFactorization.solve(RealMatrix b) Solver for system AX = b.
static RealMatrix	AlgebraUtils.subdiagonalMultiply(RealMatrix a, RealMatrix b) Return the sub-diagonal result of the multiplication.

Methods in fr.cnes.sirius.patrius.math.optim.joptimizer.algebra with parameters of type RealMatrix

Modifier and Type	Method and Description
static RealMatrix	AlgebraUtils.add(RealMatrix a, RealMatrix b, double beta) Returns C = A + beta * B (linear combination).
static void	AlgebraUtils.checkRectangularShape(RealMatrix[][] array) Checks whether the given array is rectangular, that is, whether all rows have the same number of columns.
boolean	MatrixRescaler.checkScaling(RealMatrix aOriginal, RealVector u, RealVector v) Check if the scaling algorithm returned proper results.
boolean	Matrix1NornRescaler.checkScaling(RealMatrix aOriginal, RealVector u, RealVector v) Check if the scaling algorithm returned proper results.
static RealMatrix	AlgebraUtils.composeMatrix(RealMatrix[][] parts) Constructs a block matrix made from the given parts.
static RealMatrix	AlgebraUtils.diagonalMatrixMult(RealMatrix a, RealVector diagonalU) Return A.diagonalU with diagonalU diagonal.
static RealMatrix	AlgebraUtils.diagonalMatrixMult(RealVector diagonalU, RealMatrix a) Return diagonalU.A with diagonalU diagonal.
static RealMatrix	AlgebraUtils.diagonalMatrixMult(RealVector diagonalU, RealMatrix a, RealVector diagonalV) Return diagonalU.A.diagonalV with diagonalU and diagonalV diagonal.
static RealMatrix	AlgebraUtils.fillSubdiagonalSymmetricMatrix(RealMatrix s) Given a symm matrix S that stores just its subdiagonal elements, reconstructs the full symmetric matrix.
static double[]	AlgebraUtils.getConditionNumberRange(RealMatrix a, int p) Returns a lower and an upper bound for the condition number kp(A) = Norm[A, p] / Norm[A^-1, p] where Norm[A, p] = sup ( Norm[A.x, p]/Norm[x, p] , x !
RealVector[]	MatrixRescaler.getMatrixScalingFactors(RealMatrix a) Calculates the R and T scaling factors (matrices) for a generic matrix A so that A'(=scaled A) = R.A.T
RealVector[]	Matrix1NornRescaler.getMatrixScalingFactors(RealMatrix a) Scaling factors for not singular matrices.
RealVector	MatrixRescaler.getMatrixScalingFactorsSymm(RealMatrix a) Calculates the R and T scaling factors (matrices) for a symmetric matrix A so that A'(=scaled A) = R.A.T
RealVector	Matrix1NornRescaler.getMatrixScalingFactorsSymm(RealMatrix a) Scaling factors for symmetric (not singular) matrices.
static double	Matrix1NornRescaler.getRowInfinityNorm(RealMatrix aSymm, int r)
RealMatrix	CholeskyFactorization.solve(RealMatrix b) Solver for system AX = b.
static RealMatrix	AlgebraUtils.subdiagonalMultiply(RealMatrix a, RealMatrix b) Return the sub-diagonal result of the multiplication.
static RealVector	AlgebraUtils.zMult(RealMatrix matA, RealVector a, RealVector b, double beta) Returns v = A.a + beta*b.
static RealVector	AlgebraUtils.zMultTranspose(RealMatrix matA, RealVector a, RealVector b, double beta) Returns v = A[T].a + beta*b.

Constructors in fr.cnes.sirius.patrius.math.optim.joptimizer.algebra with parameters of type RealMatrix

Constructor and Description
CholeskyFactorization(RealMatrix matQ) Constructor defining matrix Q, and null rescaler (to avoid rescaling)
CholeskyFactorization(RealMatrix matQ, MatrixRescaler res) Constructor defining matrix Q and rescaler

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.joptimizer.functions

Fields in fr.cnes.sirius.patrius.math.optim.joptimizer.functions declared as RealMatrix

Modifier and Type	Field and Description
protected RealMatrix	QuadraticMultivariateRealFunction.p Quadratic factor.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.joptimizer.optimizers

Methods in fr.cnes.sirius.patrius.math.optim.joptimizer.optimizers that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	OptimizationRequest.getA() Get the equalities constraints matrix
protected RealMatrix	OptimizationRequestHandler.getA() Get the equalities constraints matrix
protected RealMatrix	OptimizationRequestHandler.getAT() Get the equalities constraints matrix transposed
protected RealMatrix	AbstractLPOptimizationRequestHandler.getG() Get the linear inequalities constraints matrix
RealMatrix	LPOptimizationRequest.getG() Get the linear inequalities constraints matrix
protected RealMatrix	BarrierMethod.getGradFi(RealVector x) Use the barrier function instead.
protected RealMatrix	LPPrimalDualMethod.getGradFi(RealVector x) Inequality functions gradients values at X.
protected RealMatrix	OptimizationRequestHandler.getGradFi(RealVector vecX) Inequality functions gradients values at X.
protected RealMatrix	LPPrimalDualMethod.getHessF0(RealVector x) Objective function hessian at X.
protected RealMatrix	OptimizationRequestHandler.getHessF0(RealVector x) Objective function hessian at X.
RealMatrix[]	BarrierMethod.getHessFi(RealVector x) Use the barrier function instead.
RealMatrix[]	LPPrimalDualMethod.getHessFi(RealVector x) Inequality functions hessians values at X.
protected RealMatrix[]	OptimizationRequestHandler.getHessFi(RealVector vecX) Inequality functions hessians values at X.
RealMatrix	LPPresolver.getPresolvedA() Get the presolved matrix A
RealMatrix	LPStandardConverter.getStandardA() Get the final equalities constraints coefficients
protected RealMatrix	LPPrimalDualMethod.gradLSum(RealVector l, RealVector fiX) Return the H matrix (that is diagonal).

Methods in fr.cnes.sirius.patrius.math.optim.joptimizer.optimizers with parameters of type RealMatrix

Modifier and Type	Method and Description
protected RealVector	OptimizationRequestHandler.findEqFeasiblePoint(RealMatrix aMatrix, RealVector bVector) Find a solution of the linear (equalities) system A.x = b.
protected RealVector	OptimizationRequestHandler.findEqFeasiblePoint2(RealMatrix aMatrix, RealVector bVector) Find a solution of the linear (equalities) system A.x = b.
void	LPPresolver.presolve(RealVector originalC, RealMatrix originalA, RealVector originalB, RealVector originalLB, RealVector originalUB) Presolve
void	OptimizationRequest.setA(RealMatrix a) Set the equalities constraints matrix
void	LPOptimizationRequest.setG(RealMatrix matG) Set the linear inequalities constraints matrix
void	LPStandardConverter.toStandardForm(RealVector originalC, RealMatrix originalG, RealVector originalH, RealMatrix originalA, RealVector originalB, RealVector originalLB, RealVector originalUB) Transforms the problem from a general form to the (quasi) standard LP form.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.joptimizer.solvers

Fields in fr.cnes.sirius.patrius.math.optim.joptimizer.solvers declared as RealMatrix

Modifier and Type	Field and Description
protected RealMatrix	AbstractKKTSolver.matA Matrix A
protected RealMatrix	AbstractKKTSolver.matAT Transpose A matrix
protected RealMatrix	AbstractKKTSolver.matH Matrix H

Methods in fr.cnes.sirius.patrius.math.optim.joptimizer.solvers with parameters of type RealMatrix

Modifier and Type	Method and Description
void	AbstractKKTSolver.setAMatrix(RealMatrix aMatrix) Set the A matrix
void	AbstractKKTSolver.setHMatrix(RealMatrix hMatrix) Set the H matrix

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.joptimizer.util

Methods in fr.cnes.sirius.patrius.math.optim.joptimizer.util that return RealMatrix

Modifier and Type	Method and Description
static RealMatrix	Utils.randomValuesMatrix(int rows, int cols, double min, double max, Long seed) Returns matrix filled with random values.
static RealMatrix	Utils.randomValuesPositiveMatrix(int rows, int cols, double min, double max, Long seed) Returns matrix filled with random positive values.

Methods in fr.cnes.sirius.patrius.math.optim.joptimizer.util with parameters of type RealMatrix

Modifier and Type	Method and Description
static double	Utils.calculateScaledResidual(RealMatrix a, RealMatrix x, RealMatrix b) Calculate the scaled residual ||Ax-b||_oo/( ||A||_oo .
static double	Utils.calculateScaledResidual(RealMatrix a, RealVector x, RealVector b) Calculate the scaled residual ||Ax-b||_oo/( ||A||_oo .

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar

Constructors in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar with parameters of type RealMatrix

Constructor and Description
LeastSquaresConverter(MultivariateVectorFunction functionIn, double[] observationsIn, RealMatrix scaleIn) Builds a simple converter for correlated residuals with the specified weights.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv

Methods in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv that return types with arguments of type RealMatrix

Modifier and Type	Method and Description
List<RealMatrix>	CMAESOptimizer.getStatisticsDHistory()
List<RealMatrix>	CMAESOptimizer.getStatisticsMeanHistory()

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.nonlinear.vector

Methods in fr.cnes.sirius.patrius.math.optim.nonlinear.vector that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	Weight.getWeight() Gets the initial guess.
RealMatrix	MultivariateVectorOptimizer.getWeight() Gets the weight matrix of the observations.

Constructors in fr.cnes.sirius.patrius.math.optim.nonlinear.vector with parameters of type RealMatrix

Constructor and Description
Weight(RealMatrix weight)

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.nonlinear.vector.jacobian

Methods in fr.cnes.sirius.patrius.math.optim.nonlinear.vector.jacobian that return RealMatrix

Modifier and Type	Method and Description
protected RealMatrix	AbstractLeastSquaresOptimizer.computeWeightedJacobian(double[] params) Computes the weighted Jacobian matrix.
RealMatrix	AbstractLeastSquaresOptimizer.getWeightSquareRoot() Gets the square-root of the weight matrix.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.random

Methods in fr.cnes.sirius.patrius.math.random that return RealMatrix

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

Constructors in fr.cnes.sirius.patrius.math.random with parameters of type RealMatrix

Constructor and Description
CorrelatedRandomVectorGenerator(double[] meanIn, RealMatrix covariance, double small, NormalizedRandomGenerator generatorIn) Builds a correlated random vector generator from its mean vector and covariance matrix.
CorrelatedRandomVectorGenerator(RealMatrix covariance, double small, NormalizedRandomGenerator generatorIn) Builds a null mean random correlated vector generator from its covariance matrix.
UniformlyCorrelatedRandomVectorGenerator(double[] aMean, RealMatrix covariance, double small, NormalizedRandomGenerator aGenerator) Builds a correlated random vector generator from its mean vector and covariance matrix.
UniformlyCorrelatedRandomVectorGenerator(RealMatrix covariance, double small, NormalizedRandomGenerator aGenerator) Builds a null mean random correlated vector generator from its covariance matrix.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.stat.correlation

Methods in fr.cnes.sirius.patrius.math.stat.correlation that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	PearsonsCorrelation.computeCorrelationMatrix(double[][] data) Computes the correlation matrix for the columns of the input rectangular array.
RealMatrix	SpearmansCorrelation.computeCorrelationMatrix(double[][] matrix) Computes the Spearman's rank 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(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 rectangular 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.
RealMatrix	Covariance.getCovarianceMatrix() Returns the covariance matrix
RealMatrix	StorelessCovariance.getCovarianceMatrix() Returns the covariance matrix

Methods in fr.cnes.sirius.patrius.math.stat.correlation with parameters of type RealMatrix

Modifier and Type	Method and 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 fr.cnes.sirius.patrius.math.stat.correlation with parameters of type RealMatrix

Constructor and 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 rankingAlgorithmIn) Create a SpearmansCorrelation with the given input data matrix and ranking algorithm.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.stat.descriptive

Methods in fr.cnes.sirius.patrius.math.stat.descriptive that return RealMatrix

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

Uses of RealMatrix in fr.cnes.sirius.patrius.math.stat.descriptive.moment

Methods in fr.cnes.sirius.patrius.math.stat.descriptive.moment that return RealMatrix

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

Uses of RealMatrix in fr.cnes.sirius.patrius.math.stat.regression

Methods in fr.cnes.sirius.patrius.math.stat.regression that return RealMatrix

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

Uses of RealMatrix in fr.cnes.sirius.patrius.orbits

Methods in fr.cnes.sirius.patrius.orbits that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	Orbit.getJacobian(OrbitType numerator, OrbitType denominator) Get coordinate conversion jacobian.
RealMatrix	Orbit.getJacobian(OrbitType numerator, OrbitType denominator, PositionAngle positionAngle) Get coordinate conversion jacobian.
RealMatrix	Orbit.getKeplerianTransitionMatrix(double dt) Get keplerian transition matrix.

Methods in fr.cnes.sirius.patrius.orbits with parameters of type RealMatrix

Modifier and Type	Method and Description
static boolean	Orbit.isPositiveDefinite(RealMatrix matrix, double small) Test the positivity of a matrix.

Uses of RealMatrix in fr.cnes.sirius.patrius.propagation.analytical

Methods in fr.cnes.sirius.patrius.propagation.analytical that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	J2SecularPropagator.getTransitionMatrix(AbsoluteDate date) Compute transition matrix for given date.

Uses of RealMatrix in fr.cnes.sirius.patrius.propagation.analytical.covariance

Methods in fr.cnes.sirius.patrius.propagation.analytical.covariance that return RealMatrix

Modifier and Type	Method and Description
static RealMatrix	CovarianceInterpolation.createDiagonalMatrix(int dim, double coef) Creates a diagonal square matrix of dimension dim equals to coef * identity (dim)
RealMatrix	CovarianceInterpolation.getFirstCovarianceMatrix()
RealMatrix	CovarianceInterpolation.getSecondCovarianceMatrix()
RealMatrix	CovarianceInterpolation.interpolate(AbsoluteDate t) Computes the interpolation of a covariance matrix based on its two surrounding covariance matrices which define the interpolation interval allowed.

Methods in fr.cnes.sirius.patrius.propagation.analytical.covariance with parameters of type RealMatrix

Modifier and Type	Method and Description
void	CovarianceInterpolation.setFirstCovarianceMatrix(RealMatrix covMatrix, AbsoluteDate t) Allows to change the CovarianceMatrix standing for the lower bound of the interpolation interval, associated with t1.
void	CovarianceInterpolation.setSecondCovarianceMatrix(RealMatrix covMatrix, AbsoluteDate t) Allows to change the CovarianceMatrix standing for the upper bound of the interpolation interval, associated with t2.

Constructors in fr.cnes.sirius.patrius.propagation.analytical.covariance with parameters of type RealMatrix

Constructor and Description
CovarianceInterpolation(AbsoluteDate t1In, RealMatrix matrix1, AbsoluteDate t2In, RealMatrix matrix2, int order, Orbit orbitSatellite, double muValue) Constructor of the class CovarianceInterpolation
OrbitCovariance(AbsoluteDate covDate, Frame refFrame, OrbitType coordType, RealMatrix covMat) Simple constructor
OrbitCovariance(Orbit orbit, OrbitType coordType, RealMatrix covMat) Simple constructor.
OrbitCovariance(Orbit orbit, RealMatrix covMat) Simple constructor.