Uses of Class
de.gsi.math.matrix.MatrixD

Packages that use MatrixD

Package	Description
de.gsi.math.matrix
de.gsi.math.spectra

Uses of MatrixD in de.gsi.math.matrix

Methods in de.gsi.math.matrix that return MatrixD

Modifier and Type	Method and Description
MatrixD	MatrixD.arrayLeftDivide(MatrixD B) Element-by-element left division, C = A.\B
MatrixD	MatrixD.arrayLeftDivideEquals(MatrixD B) Element-by-element left division in place, A = A.\B
MatrixD	MatrixD.arrayRightDivide(MatrixD B) Element-by-element right division, C = A./B
MatrixD	MatrixD.arrayRightDivideEquals(MatrixD B) Element-by-element right division in place, A = A./B
MatrixD	MatrixD.arrayTimes(MatrixD B) Element-by-element multiplication, C = A.*B
MatrixD	MatrixD.arrayTimesEquals(MatrixD B) Element-by-element multiplication in place, A = A.*B
static MatrixD	MatrixFactory.constructWithCopy(double[][] A) Construct a matrix from a copy of a 2-D array.
MatrixD	MatrixD.copy() Make a deep copy of a matrix
MatrixD	EigenvalueDecomposition.getD() Return the block diagonal eigenvalue matrix
MatrixD	SingularValueDecomposition.getEigenSolution(int eigen)
MatrixD	SingularValueDecomposition.getEigenValues()
MatrixD	SingularValueDecomposition.getEigenVector(int eigen)
MatrixD	SingularValueDecomposition.getEigenVectorMatrixU()
MatrixD	SingularValueDecomposition.getEigenVectorMatrixV()
MatrixD	QRDecomposition.getH() Return the Householder vectors
MatrixD	SingularValueDecomposition.getInverse()
MatrixD	SingularValueDecomposition.getInverse(boolean timer, int nEigenValues)
MatrixD	CholeskyDecomposition.getL() Return triangular factor.
MatrixD	LUDecomposition.getL() Return lower triangular factor
MatrixD	SingularValueDecomposition.getMatrix()
MatrixD	MatrixD.getMatrix(int[] r, int[] c) Get a sub-matrix.
MatrixD	MatrixD.getMatrix(int[] r, int j0, int j1) Get a sub-matrix.
MatrixD	MatrixD.getMatrix(int i0, int i1, int[] c) Get a sub-matrix.
MatrixD	MatrixD.getMatrix(int i0, int i1, int j0, int j1) Get a sub-matrix.
MatrixD	SingularValueDecomposition.getPseudoInverseEigenvalues()
MatrixD	QRDecomposition.getQ() Generate and return the (economy-sized) orthogonal factor
MatrixD	QRDecomposition.getR() Return the upper triangular factor
MatrixD	SingularValueDecomposition.getU()
MatrixD	LUDecomposition.getU() Return upper triangular factor
MatrixD	SingularValueDecomposition.getV()
MatrixD	EigenvalueDecomposition.getV() Return the eigenvector matrix
static MatrixD	MatrixFactory.identity(int m, int n) Generate identity matrix
MatrixD	MatrixD.inverse() Matrix inverse or pseudo-inverse
MatrixD	MatrixD.minus(MatrixD B) C = A - B
MatrixD	MatrixD.minusEquals(MatrixD B) A = A - B
MatrixD	MatrixD.plus(MatrixD B) C = A + B
MatrixD	MatrixD.plusEquals(MatrixD B) A = A + B
MatrixD	MatrixD.pseudoInverse(double condition) Matrix inversion using the SVD pseudo inverse
static MatrixD	MatrixFactory.random(int m, int n) Generate matrix with random elements
static MatrixD	MatrixD.read(BufferedReader input) Read a matrix from a stream.
MatrixD	CholeskyDecomposition.solve(MatrixD B) Solve A*X = B
MatrixD	QRDecomposition.solve(MatrixD B) Least squares solution of A*X = B
MatrixD	MatrixD.solve(MatrixD B) Solve A*X = B
MatrixD	LUDecomposition.solve(MatrixD B) Solve A*X = B
MatrixD	MatrixD.solveTranspose(MatrixD B) Solve X*A = B, which is also A'*X' = B'
MatrixD	MatrixD.times(double s) Multiply a matrix by a scalar, C = s*A
MatrixD	MatrixD.times(MatrixD B) Linear algebraic matrix multiplication, A * B
MatrixD	MatrixD.timesEquals(double s) Multiply a matrix by a scalar in place, A = s*A
MatrixD	MatrixD.transpose() Matrix transpose.
MatrixD	MatrixD.uminus() Unary minus

Methods in de.gsi.math.matrix with parameters of type MatrixD

Modifier and Type	Method and Description
MatrixD	MatrixD.arrayLeftDivide(MatrixD B) Element-by-element left division, C = A.\B
MatrixD	MatrixD.arrayLeftDivideEquals(MatrixD B) Element-by-element left division in place, A = A.\B
MatrixD	MatrixD.arrayRightDivide(MatrixD B) Element-by-element right division, C = A./B
MatrixD	MatrixD.arrayRightDivideEquals(MatrixD B) Element-by-element right division in place, A = A./B
MatrixD	MatrixD.arrayTimes(MatrixD B) Element-by-element multiplication, C = A.*B
MatrixD	MatrixD.arrayTimesEquals(MatrixD B) Element-by-element multiplication in place, A = A.*B
MatrixD	MatrixD.minus(MatrixD B) C = A - B
MatrixD	MatrixD.minusEquals(MatrixD B) A = A - B
MatrixD	MatrixD.plus(MatrixD B) C = A + B
MatrixD	MatrixD.plusEquals(MatrixD B) A = A + B
void	MatrixD.setMatrix(int[] r, int[] c, MatrixD X) Set a submatrix.
void	MatrixD.setMatrix(int[] r, int j0, int j1, MatrixD X) Set a submatrix.
void	MatrixD.setMatrix(int i0, int i1, int[] c, MatrixD X) Set a submatrix.
void	MatrixD.setMatrix(int i0, int i1, int j0, int j1, MatrixD X) Set a submatrix.
void	SingularValueDecomposition.setMatrix(MatrixD inputMatrix) Sets the input matrix to be decomposed.
MatrixD	CholeskyDecomposition.solve(MatrixD B) Solve A*X = B
MatrixD	QRDecomposition.solve(MatrixD B) Least squares solution of A*X = B
MatrixD	MatrixD.solve(MatrixD B) Solve A*X = B
MatrixD	LUDecomposition.solve(MatrixD B) Solve A*X = B
MatrixD	MatrixD.solveTranspose(MatrixD B) Solve X*A = B, which is also A'*X' = B'
MatrixD	MatrixD.times(MatrixD B) Linear algebraic matrix multiplication, A * B

Constructors in de.gsi.math.matrix with parameters of type MatrixD

Constructor and Description
CholeskyDecomposition(MatrixD Arg) Cholesky algorithm for symmetric and positive definite matrix.
EigenvalueDecomposition(MatrixD Arg) Check for symmetry, then construct the eigenvalue decomposition
LUDecomposition(MatrixD A) LU Decomposition
QRDecomposition(MatrixD A) QR Decomposition, computed by Householder reflections.
SingularValueDecomposition(MatrixD inputMatrix) default constructor.

Uses of MatrixD in de.gsi.math.spectra

Methods in de.gsi.math.spectra that return MatrixD

Modifier and Type	Method and Description
MatrixD	EEMD.eemd(double[] data, double rms_noise, double NE)