Uses of Class
de.labathome.trustconstr.matrix.DenseMatrix

Packages that use DenseMatrix

Package	Description
de.labathome.trustconstr
de.labathome.trustconstr.matrix

Uses of DenseMatrix in de.labathome.trustconstr

Fields in de.labathome.trustconstr declared as DenseMatrix

Modifier and Type	Field	Description
protected DenseMatrix	FullHessianUpdateStrategy.B	Hessian approximation (used when approxType == HESSIAN).
protected DenseMatrix	FullHessianUpdateStrategy.H	Inverse-Hessian approximation (used when approxType == INV_HESSIAN).

Uses of DenseMatrix in de.labathome.trustconstr.matrix

Methods in de.labathome.trustconstr.matrix that return DenseMatrix

Modifier and Type	Method	Description
DenseMatrix	DenseMatrix.abs()
DenseMatrix	DenseMatrix.absInPlace()	In-place absolute value.
static DenseMatrix	DenseMatrix.column(double... v)
DenseMatrix	DenseMatrix.copy()
static DenseMatrix	DenseMatrix.copyFromMatrix(Matrix m)	Densify any Matrix: if m is already a DenseMatrix, return a copy(); otherwise materialise via getAsDouble(long, long).
static DenseMatrix	DenseMatrix.Factory.copyFromMatrix(Matrix m)
DenseMatrix	DenseMatrix.divide(double alpha)
DenseMatrix	DenseMatrix.divide(Matrix elementwise)
static DenseMatrix	DenseMatrix.eye(int n)
static DenseMatrix	Matrix.Factory.eye(long rows, long cols)
static DenseMatrix	Matrix.Factory.fill(double v, long rows, long cols)
static DenseMatrix	DenseMatrix.fromColumnMajor(int rows, int cols, double[] data)	Wrap an already-column-major buffer without copying.
static DenseMatrix	DenseMatrix.fromRows(double[][] rows)	Repack a row-major double[][] into a fresh column-major DenseMatrix.
static DenseMatrix	Matrix.Factory.importFromArray(double[] rowVec)	Wrap a 1-D array as a 1 x n row matrix (the row-vector counterpart of Matrix.Factory.linkToArray(double[])).
static DenseMatrix	Matrix.Factory.importFromArray(double[][] arr)	Alias for Matrix.Factory.linkToArray(double[][]).
static DenseMatrix	Matrix.Factory.linkToArray(double[] colVec)	Wrap a 1-D array as an n x 1 column vector.
static DenseMatrix	Matrix.Factory.linkToArray(double[][] arr)
static DenseMatrix	Matrix.Factory.linkToArray(int[][] arr)	int[][] input -- promoted to double for test fixtures.
DenseMatrix	DenseMatrix.minus(Matrix other)
DenseMatrix	DenseMatrix.mtimes(Matrix other)
static DenseMatrix	Matrix.Factory.ones(long[] size)
static DenseMatrix	Matrix.Factory.ones(long rows, long cols)
DenseMatrix	DenseMatrix.plus(Matrix other)
DenseMatrix	QRResult.Q()	Returns the value of the Q record component.
DenseMatrix	QRResult.R()	Returns the value of the R record component.
static DenseMatrix	Matrix.Factory.randn(long rows, long cols)	Random normal matrix with mean 0 and stddev 1.
static DenseMatrix	DenseMatrix.row(double... v)
DenseMatrix	DenseMatrix.scaleInPlace(double alpha)	In-place scaling.
DenseMatrix	DenseMatrix.selectColumns(int... colsToKeep)	Pick an arbitrary subset of columns into a fresh DenseMatrix.
DenseMatrix	DenseMatrix.selectRows(int... rowsToKeep)	Pick an arbitrary subset of rows into a fresh DenseMatrix.
DenseMatrix	CholResult.solve(DenseMatrix rhs)	Solve A x = rhs where A is the original SPD matrix factored into CholResult.factor().
static DenseMatrix	LinAlg.solve(DenseMatrix A, DenseMatrix b)	Solve A x = b via LAPACK dgesv (general LU with partial pivoting).
DenseMatrix	QRResult.solve(DenseMatrix rhs)	Least-squares solve: returns the n x p matrix x that minimises ||A x - rhs||_2, where A = Q R was the original input.
DenseMatrix	DenseMatrix.subMatrix(int r0, int r1, int c0, int c1)	Inclusive submatrix slice rows[r0..r1] x cols[c0..c1].
DenseMatrix	DenseMatrix.times(double alpha)
DenseMatrix	DenseMatrix.times(Matrix elementwise)
DenseMatrix	DenseMatrix.transpose()
DenseMatrix	SVDResult.U()	Returns the value of the U record component.
static DenseMatrix	Matrix.Factory.vertCat(Matrix... parts)	Vertical concatenation: stack the input matrices on top of each other.
DenseMatrix	SVDResult.Vt()	Returns the value of the Vt record component.
static DenseMatrix	DenseMatrix.zeros(int rows, int cols)
static DenseMatrix	Matrix.Factory.zeros(long[] size)
static DenseMatrix	Matrix.Factory.zeros(long rows, long cols)

Methods in de.labathome.trustconstr.matrix with parameters of type DenseMatrix

Modifier and Type	Method	Description
static CholResult	LinAlg.cholesky(DenseMatrix A)	Cholesky factorisation of an SPD matrix via dpotrf, upper triangle.
static QRResult	LinAlg.qr(DenseMatrix A)	QR factorisation via dgeqrf + dorgqr.
DenseMatrix	CholResult.solve(DenseMatrix rhs)	Solve A x = rhs where A is the original SPD matrix factored into CholResult.factor().
static DenseMatrix	LinAlg.solve(DenseMatrix A, DenseMatrix b)	Solve A x = b via LAPACK dgesv (general LU with partial pivoting).
DenseMatrix	QRResult.solve(DenseMatrix rhs)	Least-squares solve: returns the n x p matrix x that minimises ||A x - rhs||_2, where A = Q R was the original input.
static SVDResult	LinAlg.svd(DenseMatrix A)	Full SVD via dgesvd (jobu='A', jobvt='A'): A = U * diag(s) * V^T.
static void	LinAlg.syr(DenseMatrix A, double alpha, double[] x)	In-place rank-1 symmetric update: A := A + alpha x x^T.
static void	LinAlg.syr2(DenseMatrix A, double alpha, double[] x, double[] y)	In-place rank-2 symmetric update: A := A + alpha (x y^T + y x^T).

Constructors in de.labathome.trustconstr.matrix with parameters of type DenseMatrix

Modifier	Constructor	Description
	QRResult(DenseMatrix Q, DenseMatrix R)	Creates an instance of a QRResult record class.
	SVDResult(DenseMatrix U, double[] s, DenseMatrix Vt)	Creates an instance of a SVDResult record class.