Uses of Class
com.helger.matrix.Matrix

Uses of Matrix in com.helger.matrix

Methods in com.helger.matrix that return Matrix

Modifier and Type	Method and Description
Matrix	Matrix.arrayLeftDivide(Matrix aMatrix) Element-by-element left division, C = B.
Matrix	Matrix.arrayLeftDivideEquals(Matrix aMatrix) Element-by-element left division in place, A = B.
Matrix	Matrix.arrayRightDivide(Matrix aMatrix) Element-by-element right division, C = A.
Matrix	Matrix.arrayRightDivideEquals(Matrix aMatrix) Element-by-element right division in place, A = A.
Matrix	Matrix.arrayTimes(Matrix aMatrix) Element-by-element multiplication, C = A.
Matrix	Matrix.arrayTimesEquals(Matrix aMatrix) Element-by-element multiplication in place, A = A.
static Matrix	Matrix.constructWithCopy(double[][] aArray) Construct a matrix from a copy of a 2-D array.
Matrix	Matrix.getClone()
Matrix	EigenvalueDecomposition.getD() Return the block diagonal eigenvalue matrix
Matrix	QRDecomposition.getH() Return the Householder vectors
Matrix	CholeskyDecomposition.getL() Return triangular factor.
Matrix	LUDecomposition.getL() Return lower triangular factor
Matrix	Matrix.getMatrix(int[] aRows, int[] aCols) Get a submatrix.
Matrix	Matrix.getMatrix(int[] aRows, int nStartColumnIndex, int nEndColumnIndex) Get a submatrix.
Matrix	Matrix.getMatrix(int nStartRowIndex, int nEndRowIndex, int[] aCols) Get a submatrix.
Matrix	Matrix.getMatrix(int nStartRowIndex, int nEndRowIndex, int nStartColumnIndex, int nEndColumnIndex) Get a submatrix.
Matrix	QRDecomposition.getQ() Generate and return the (economy-sized) orthogonal factor
Matrix	QRDecomposition.getR() Return the upper triangular factor
Matrix	SingularValueDecomposition.getS() Return the diagonal matrix of singular values
Matrix	LUDecomposition.getU() Return upper triangular factor
Matrix	SingularValueDecomposition.getU() Return the left singular vectors
Matrix	EigenvalueDecomposition.getV() Return the eigenvector matrix
Matrix	SingularValueDecomposition.getV() Return the right singular vectors
static Matrix	Matrix.identity(int nRows, int nCols) Generate identity matrix
Matrix	Matrix.inverse() Matrix inverse or pseudoinverse
Matrix	Matrix.minus(Matrix aMatrix) C = A - B
Matrix	Matrix.minusEquals(Matrix aMatrix) A = A - B
Matrix	Matrix.plus(Matrix aMatrix) C = A + B
Matrix	Matrix.plusEquals(Matrix aMatrix) A = A + B
static Matrix	Matrix.random(int nRows, int nCols) Generate matrix with random elements
static Matrix	Matrix.read(Reader aReader) Read a matrix from a stream.
Matrix	CholeskyDecomposition.solve(Matrix aMatrix) Solve A*X = B
Matrix	LUDecomposition.solve(Matrix aMatrix) Solve A*X = B
Matrix	Matrix.solve(Matrix aMatrix) Solve A*X = B
Matrix	QRDecomposition.solve(Matrix aMatrix) Least squares solution of A*X = B
Matrix	Matrix.solveTranspose(Matrix aMatrix) Solve X*A = B, which is also A'*X' = B'
Matrix	Matrix.times(double s) Multiply a matrix by a scalar, C = s*A
Matrix	Matrix.times(Matrix aMatrix) Linear algebraic matrix multiplication, A * B
Matrix	Matrix.timesEquals(double s) Multiply a matrix by a scalar in place, A = s*A
Matrix	Matrix.transpose() Matrix transpose.
Matrix	Matrix.uminus() Unary minus

Methods in com.helger.matrix with parameters of type Matrix

Modifier and Type	Method and Description
Matrix	Matrix.arrayLeftDivide(Matrix aMatrix) Element-by-element left division, C = B.
Matrix	Matrix.arrayLeftDivideEquals(Matrix aMatrix) Element-by-element left division in place, A = B.
Matrix	Matrix.arrayRightDivide(Matrix aMatrix) Element-by-element right division, C = A.
Matrix	Matrix.arrayRightDivideEquals(Matrix aMatrix) Element-by-element right division in place, A = A.
Matrix	Matrix.arrayTimes(Matrix aMatrix) Element-by-element multiplication, C = A.
Matrix	Matrix.arrayTimesEquals(Matrix aMatrix) Element-by-element multiplication in place, A = A.
Matrix	Matrix.minus(Matrix aMatrix) C = A - B
Matrix	Matrix.minusEquals(Matrix aMatrix) A = A - B
Matrix	Matrix.plus(Matrix aMatrix) C = A + B
Matrix	Matrix.plusEquals(Matrix aMatrix) A = A + B
void	Matrix.setMatrix(int[] aRows, int[] aCols, Matrix aMatrix) Set a submatrix.
void	Matrix.setMatrix(int[] aRows, int nStartColumnIndex, int nEndColumnIndex, Matrix aMatrix) Set a submatrix.
void	Matrix.setMatrix(int nStartRowIndex, int nEndRowIndex, int[] aCols, Matrix aMatrix) Set a submatrix.
void	Matrix.setMatrix(int nStartRowIndex, int nEndRowIndex, int nStartColumnIndex, int nEndColumnIndex, Matrix aMatrix) Set a submatrix.
Matrix	CholeskyDecomposition.solve(Matrix aMatrix) Solve A*X = B
Matrix	LUDecomposition.solve(Matrix aMatrix) Solve A*X = B
Matrix	Matrix.solve(Matrix aMatrix) Solve A*X = B
Matrix	QRDecomposition.solve(Matrix aMatrix) Least squares solution of A*X = B
Matrix	Matrix.solveTranspose(Matrix aMatrix) Solve X*A = B, which is also A'*X' = B'
Matrix	Matrix.times(Matrix aMatrix) Linear algebraic matrix multiplication, A * B

Constructors in com.helger.matrix with parameters of type Matrix

Constructor and Description
CholeskyDecomposition(Matrix aMatrix) Cholesky algorithm for symmetric and positive definite matrix.
EigenvalueDecomposition(Matrix aMatrix) Check for symmetry, then construct the eigenvalue decomposition Structure to access D and V.
LUDecomposition(Matrix aMatrix) LU Decomposition Structure to access L, U and piv.
QRDecomposition(Matrix aMatrix) QR Decomposition, computed by Householder reflections.
SingularValueDecomposition(Matrix aMatrix) Construct the singular value decomposition Structure to access U, S and V.