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

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	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	SymmetricMatrix Implementation of a symmetric matrix.

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

Modifier and Type	Method and Description
RealMatrix	SymmetricMatrix.add(RealMatrix m) Returns the sum of this and m.
RealMatrix	RealMatrix.add(RealMatrix m) Returns the sum of this and m.
RealMatrix	AbstractRealMatrix.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	Array2DRowRealMatrix.copy() Returns a (deep) copy of this.
RealMatrix	RealMatrix.copy() Returns a (deep) copy of this.
RealMatrix	DiagonalMatrix.copy() Returns a (deep) copy of this.
abstract RealMatrix	AbstractRealMatrix.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.
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	DiagonalMatrix.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.
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	RealMatrix.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	SingularValueDecomposition.getCovariance(double minSingularValue) Returns the n × n covariance matrix.
RealMatrix	UDDecompositionImpl.getD() get the D matrix
RealMatrix	EigenDecomposition.getD() Gets the block diagonal matrix D of the decomposition.
RealMatrix	UDDecomposition.getD() Returns the matrix D of the decomposition.
RealMatrix	QRDecomposition.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	LUDecomposition.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	RectangularCholeskyDecomposition.getRootMatrix() Get the root of the covariance matrix.
RealMatrix	RealMatrix.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	SingularValueDecomposition.getS() Returns the diagonal matrix Σ of the decomposition.
RealMatrix	EigenDecomposition.getSquareRoot() Computes the square-root of the matrix.
RealMatrix	RealMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns) Gets a submatrix.
RealMatrix	AbstractRealMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns) Gets a submatrix.
RealMatrix	RealMatrix.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	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.getU() Returns 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	UDDecomposition.getUT() Returns the transpose of the matrix U of the decomposition.
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	SymmetricMatrix.multiply(DiagonalMatrix m) Returns the result of postmultiplying this by m.
RealMatrix	SymmetricMatrix.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	AbstractRealMatrix.multiply(RealMatrix m) Returns the result of postmultiplying this by m.
RealMatrix	SymmetricMatrix.multiply(SymmetricMatrix m) Returns the result of postmultiplying this by m.
RealMatrix	DiagonalMatrix.multiply(SymmetricMatrix m) Returns the result of postmultiplying this by m.
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	RealMatrix.power(int p) Returns the result of multiplying this with itself p times.
RealMatrix	AbstractRealMatrix.power(int p) Returns the result of multiplying this with itself p times.
RealMatrix	RealMatrix.preMultiply(RealMatrix m) Returns the result of premultiplying this by m.
RealMatrix	AbstractRealMatrix.preMultiply(RealMatrix m) Returns the result of premultiplying this by m.
RealMatrix	RealMatrix.scalarAdd(double d) Returns the result of adding d to each entry of this.
RealMatrix	AbstractRealMatrix.scalarAdd(double d) Returns the result of adding d to each entry of this.
RealMatrix	RealMatrix.scalarMultiply(double d) Returns the result of multiplying each entry of this by d.
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	DecompositionSolver.solve(RealMatrix b) Solve the linear equation A × X = B for matrices A.
RealMatrix	SymmetricMatrix.subtract(RealMatrix m) Returns this minus m.
RealMatrix	RealMatrix.subtract(RealMatrix m) Returns this minus m.
RealMatrix	AbstractRealMatrix.subtract(RealMatrix m) Returns this minus m.
RealMatrix	SymmetricMatrix.transpose() Returns the transpose of this matrix.
RealMatrix	RealMatrix.transpose() Returns the transpose of this matrix.
RealMatrix	AbstractRealMatrix.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	SymmetricMatrix.add(RealMatrix m) Returns the sum of this and m.
RealMatrix	RealMatrix.add(RealMatrix m) Returns the sum of this and m.
RealMatrix	AbstractRealMatrix.add(RealMatrix m) Returns the sum of this and m.
BlockRealMatrix	BlockRealMatrix.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.
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 boolean	MatrixUtils.isSymmetric(RealMatrix matrix, double eps) Checks whether a matrix is symmetric.
RealMatrix	SymmetricMatrix.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	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.
static SymmetricMatrix	SymmetricMatrix.newByCopy(SymmetricMatrix.SYMMETRIC uplo, int n, int ld, SymmetricMatrix.SYMMETRIC uploMat, RealMatrix mat) Create a symmetric matrix by copy of a triangle of a matrix.
static SymmetricMatrix	SymmetricMatrix.newByCopyAndSymmetrize(SymmetricMatrix.SYMMETRIC uplo, int n, int ld, RealMatrix mat) Create a symmetric matrix by computation of the mean of the 2 triangles of a matrix.
RealMatrix	RealMatrix.preMultiply(RealMatrix m) Returns the result of premultiplying this by m.
RealMatrix	AbstractRealMatrix.preMultiply(RealMatrix m) Returns the result of premultiplying this by m.
static void	MatrixUtils.serializeRealMatrix(RealMatrix matrix, ObjectOutputStream oos) Serialize a RealMatrix.
void	RealMatrix.setColumnMatrix(int column, RealMatrix matrix) Sets the specified column of this matrix to the entries of the specified column matrix.
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.setRowMatrix(int row, RealMatrix matrix) Sets the specified row of this matrix to the entries of the specified row 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	SymmetricMatrix.setSubMatrixWithMatrix(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	SymmetricMatrix.subtract(RealMatrix m) Returns this minus m.
RealMatrix	RealMatrix.subtract(RealMatrix m) Returns this minus m.
RealMatrix	AbstractRealMatrix.subtract(RealMatrix m) Returns this minus m.
BlockRealMatrix	BlockRealMatrix.subtract(RealMatrix m) Returns this minus m.
static void	SymmetricMatrix.symmetricMatrixOperation(double alpha, SymmetricMatrix symA, RealMatrix matB, double beta, RealMatrix matC) Performs the matrix-matrix operations C := alpha*A*B + beta*C where alpha and beta are scalars, A is a symmetric matrix and B and C are n by n matrices.

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

Constructor and 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.
EigenDecomposition(RealMatrix matrix) Calculates the eigen decomposition of the given real 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.
QRDecomposition(RealMatrix matrix) Calculates the QR-decomposition of the given matrix.
QRDecomposition(RealMatrix matrix, double thresholdIn) 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.
SingularValueDecomposition(RealMatrix matrix) Calculates the compact Singular Value Decomposition of the given matrix.
SymmetricMatrix(SymmetricMatrix.SYMMETRIC uploIn, int nIn, int ldIn, RealMatrix m) Creates a symmetric matrix using a real matrix.
UDDecompositionImpl(RealMatrix matrix) Compute the UD decomposition of the given matrix.
UDDecompositionImpl(RealMatrix inMatrix, double relativeSymmetryThreshold, double absolutePositivityThreshold) Compute the UD decomposition of the given matrix.

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	UniformlyCorrelatedRandomVectorGenerator.getRootMatrix() Get the root of the correlation matrix.
RealMatrix	CorrelatedRandomVectorGenerator.getRootMatrix() Get the root of the covariance 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	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 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 abstract RealMatrix	AbstractMultipleLinearRegression.calculateBetaVariance() Calculates the beta variance of multiple linear regression in matrix notation.
protected RealMatrix	OLSMultipleLinearRegression.calculateBetaVariance() Calculates the variance-covariance matrix of the regression parameters.
protected RealMatrix	GLSMultipleLinearRegression.calculateBetaVariance() Calculates the variance on the beta.
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.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.