Uses of Interface no.uib.cipr.matrix.Matrix

Packages that use Matrix

Package

Description

no.uib.cipr.matrix

no.uib.cipr.matrix.distributed

no.uib.cipr.matrix.sparse

Uses of Matrix in no.uib.cipr.matrix

Classes in no.uib.cipr.matrix that implement Matrix

Modifier and Type

Class

Description

class

AbstractMatrix

Partial implementation of Matrix.

class

BandMatrix

Banded matrix.

class

DenseMatrix

Dense matrix.

class

LowerSPDBandMatrix

Lower symmetrical positive definite banded matrix.

class

LowerSPDDenseMatrix

Lower symmetrical positive definite dense matrix.

class

LowerSPDPackMatrix

Lower symmetrical positive definite packed matrix.

class

LowerSymmBandMatrix

Lower symmetrical banded matrix.

class

LowerSymmDenseMatrix

Lower symmetric dense matrix.

class

LowerSymmPackMatrix

Lower symmetric packed matrix.

class

LowerTriangBandMatrix

Lower triangular banded matrix.

class

LowerTriangDenseMatrix

Lower triangular dense matrix.

class

LowerTriangPackMatrix

Lower triangular packed matrix.

class

SPDTridiagMatrix

Symmetrical positive definite tridiagonal matrix.

class

SymmTridiagMatrix

Symmetrical tridiagonal matrix.

class

TridiagMatrix

Tridiagonal matrix.

class

UnitLowerTriangBandMatrix

Unit lower triangular banded matrix.

class

UnitLowerTriangDenseMatrix

Unit lower triangular dense matrix.

class

UnitLowerTriangPackMatrix

Unit lower triangular packed matrix.

class

UnitUpperTriangBandMatrix

Unit upper triangular banded matrix.

class

UnitUpperTriangDenseMatrix

Unit upper triangular dense matrix.

class

UnitUpperTriangPackMatrix

Unit upper triangular packed matrix.

class

UpperSPDBandMatrix

Upper symmetrical positive definite banded matrix.

class

UpperSPDDenseMatrix

Upper symmetrical positive definite dense matrix.

class

UpperSPDPackMatrix

Upper symmetrical positive definite packed matrix.

class

UpperSymmBandMatrix

Upper symmetrical banded matrix.

class

UpperSymmDenseMatrix

Upper symmetrix dense matrix.

class

UpperSymmPackMatrix

Upper symmetric packed matrix.

class

UpperTriangBandMatrix

Upper triangular banded matrix.

class

UpperTriangDenseMatrix

Upper triangular dense matrix.

class

UpperTriangPackMatrix

Upper triangular packed matrix.

Methods in no.uib.cipr.matrix that return Matrix

Modifier and Type

Method

Description

Matrix

AbstractMatrix.add(double alpha, Matrix B)

Matrix

AbstractMatrix.add(Matrix B)

Matrix

Matrix.add(double alpha, Matrix B)

A = alpha*B + A.

Matrix

Matrix.add(Matrix B)

A = B + A.

Matrix

AbstractMatrix.copy()

Matrix

Matrix.copy()

Creates a deep copy of the matrix

Matrix

QRP.getP()

Returns the column pivoting matrix.

static Matrix

Matrices.getSubMatrix(Matrix A, int[] row, int[] column)

Returns a view into the given matrix.

Matrix

AbstractMatrix.mult(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.mult(Matrix B, Matrix C)

Matrix

Matrix.mult(double alpha, Matrix B, Matrix C)

C = alpha*A*B

Matrix

Matrix.mult(Matrix B, Matrix C)

C = A*B

Matrix

AbstractMatrix.multAdd(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.multAdd(Matrix B, Matrix C)

Matrix

DenseMatrix.multAdd(double alpha, Matrix B, Matrix C)

Matrix

Matrix.multAdd(double alpha, Matrix B, Matrix C)

C = alpha*A*B + C

Matrix

Matrix.multAdd(Matrix B, Matrix C)

C = A*B + C

static Matrix

Matrices.random(int numRows, int numColumns)

Creates a random matrix.

static Matrix

Matrices.random(Matrix A)

Populates a matrix with random numbers drawn from a uniform distribution between 0 and 1

Matrix

AbstractMatrix.rank1(double alpha, Matrix C)

Matrix

AbstractMatrix.rank1(double alpha, Vector x)

Matrix

AbstractMatrix.rank1(double alpha, Vector x, Vector y)

Matrix

AbstractMatrix.rank1(Matrix C)

Matrix

AbstractMatrix.rank1(Vector x)

Matrix

AbstractMatrix.rank1(Vector x, Vector y)

Matrix

DenseMatrix.rank1(double alpha, Vector x, Vector y)

Matrix

Matrix.rank1(double alpha, Matrix C)

A = alpha*C*C^T + A.

Matrix

Matrix.rank1(double alpha, Vector x)

A = alpha*x*x^T + A.

Matrix

Matrix.rank1(double alpha, Vector x, Vector y)

A = alpha*x*y^T + A.

Matrix

Matrix.rank1(Matrix C)

A = C*C^T + A.

Matrix

Matrix.rank1(Vector x)

A = x*x^T + A.

Matrix

Matrix.rank1(Vector x, Vector y)

A = x*y^T + A.

Matrix

AbstractMatrix.rank2(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.rank2(double alpha, Vector x, Vector y)

Matrix

AbstractMatrix.rank2(Matrix B, Matrix C)

Matrix

AbstractMatrix.rank2(Vector x, Vector y)

Matrix

Matrix.rank2(double alpha, Matrix B, Matrix C)

A = alpha*B*C^T + alpha*C*B^T + A.

Matrix

Matrix.rank2(double alpha, Vector x, Vector y)

A = alpha*x*y^T + alpha*y*x^T + A.

Matrix

Matrix.rank2(Matrix B, Matrix C)

A = B*C^T + C*B^T + A.

Matrix

Matrix.rank2(Vector x, Vector y)

A = x*y^T + y*x^T + A.

Matrix

AbstractMatrix.scale(double alpha)

Matrix

Matrix.scale(double alpha)

A = alpha*A

Matrix

AbstractMatrix.set(double alpha, Matrix B)

Matrix

AbstractMatrix.set(Matrix B)

Matrix

Matrix.set(double alpha, Matrix B)

A=alpha*B.

Matrix

Matrix.set(Matrix B)

A=B.

Matrix

AbstractMatrix.solve(Matrix B, Matrix X)

Matrix

BandMatrix.solve(Matrix B, Matrix X)

Matrix

DenseMatrix.solve(Matrix B, Matrix X)

Matrix

LowerSPDBandMatrix.solve(Matrix B, Matrix X)

Matrix

LowerSPDDenseMatrix.solve(Matrix B, Matrix X)

Matrix

LowerSPDPackMatrix.solve(Matrix B, Matrix X)

Matrix

Matrix.solve(Matrix B, Matrix X)

X = A\B.

Matrix

SPDTridiagMatrix.solve(Matrix B, Matrix X)

Matrix

SymmTridiagMatrix.solve(Matrix B, Matrix X)

Matrix

TridiagMatrix.solve(Matrix B, Matrix X)

Matrix

UpperSPDBandMatrix.solve(Matrix B, Matrix X)

Matrix

UpperSPDDenseMatrix.solve(Matrix B, Matrix X)

Matrix

UpperSPDPackMatrix.solve(Matrix B, Matrix X)

static Matrix

Matrices.synchronizedMatrix(Matrix A)

Returns a synchronized matrix which wraps the given matrix.

static Matrix

Matrices.synchronizedMatrixByColumns(Matrix A)

Returns a synchronized matrix which wraps the given matrix.

static Matrix

Matrices.synchronizedMatrixByRows(Matrix A)

Returns a synchronized matrix which wraps the given matrix.

Matrix

AbstractMatrix.transABmult(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.transABmult(Matrix B, Matrix C)

Matrix

Matrix.transABmult(double alpha, Matrix B, Matrix C)

C = alpha*A^T*B^T

Matrix

Matrix.transABmult(Matrix B, Matrix C)

C = A^T*B^T

Matrix

AbstractMatrix.transABmultAdd(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.transABmultAdd(Matrix B, Matrix C)

Matrix

DenseMatrix.transABmultAdd(double alpha, Matrix B, Matrix C)

Matrix

Matrix.transABmultAdd(double alpha, Matrix B, Matrix C)

C = alpha*A^T*B^T + C

Matrix

Matrix.transABmultAdd(Matrix B, Matrix C)

C = A^T*B^T + C

Matrix

AbstractMatrix.transAmult(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.transAmult(Matrix B, Matrix C)

Matrix

Matrix.transAmult(double alpha, Matrix B, Matrix C)

C = alpha*A^T*B

Matrix

Matrix.transAmult(Matrix B, Matrix C)

C = A^T*B

Matrix

AbstractMatrix.transAmultAdd(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.transAmultAdd(Matrix B, Matrix C)

Matrix

DenseMatrix.transAmultAdd(double alpha, Matrix B, Matrix C)

Matrix

Matrix.transAmultAdd(double alpha, Matrix B, Matrix C)

C = alpha*A^T*B + C

Matrix

Matrix.transAmultAdd(Matrix B, Matrix C)

C = A^T*B + C

Matrix

AbstractMatrix.transBmult(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.transBmult(Matrix B, Matrix C)

Matrix

Matrix.transBmult(double alpha, Matrix B, Matrix C)

C = alpha*A*B^T

Matrix

Matrix.transBmult(Matrix B, Matrix C)

C = A*B^T

Matrix

AbstractMatrix.transBmultAdd(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.transBmultAdd(Matrix B, Matrix C)

Matrix

DenseMatrix.transBmultAdd(double alpha, Matrix B, Matrix C)

Matrix

Matrix.transBmultAdd(double alpha, Matrix B, Matrix C)

C = alpha*A*B^T + C

Matrix

Matrix.transBmultAdd(Matrix B, Matrix C)

C = A*B^T + C

Matrix

AbstractMatrix.transpose()

Matrix

AbstractMatrix.transpose(Matrix B)

Matrix

BandMatrix.transpose()

Matrix

Matrix.transpose()

Transposes the matrix in-place.

Matrix

Matrix.transpose(Matrix B)

Sets the tranpose of this matrix into B.

Matrix

SymmTridiagMatrix.transpose()

Matrix

TridiagMatrix.transpose()

Matrix

AbstractMatrix.transRank1(double alpha, Matrix C)

Matrix

AbstractMatrix.transRank1(Matrix C)

Matrix

Matrix.transRank1(double alpha, Matrix C)

A = alpha*C^T*C + A The matrices must be square and of the same size

Matrix

Matrix.transRank1(Matrix C)

A = C^T*C + A The matrices must be square and of the same size

Matrix

AbstractMatrix.transRank2(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.transRank2(Matrix B, Matrix C)

Matrix

Matrix.transRank2(double alpha, Matrix B, Matrix C)

A = alpha*B^T*C + alpha*C^T*B + A.

Matrix

Matrix.transRank2(Matrix B, Matrix C)

A = B^T*C + C^T*B + A.

Matrix

AbstractMatrix.transSolve(Matrix B, Matrix X)

Matrix

DenseMatrix.transSolve(Matrix B, Matrix X)

Matrix

Matrix.transSolve(Matrix B, Matrix X)

X = A^T\B.

Matrix

SymmTridiagMatrix.transSolve(Matrix B, Matrix X)

Matrix

AbstractMatrix.zero()

Matrix

BandMatrix.zero()

Matrix

Matrix.zero()

Zeros all the entries in the matrix, while preserving any underlying structure.

Matrix

UnitLowerTriangBandMatrix.zero()

Matrix

UnitLowerTriangDenseMatrix.zero()

Matrix

UnitUpperTriangBandMatrix.zero()

Matrix

UnitUpperTriangDenseMatrix.zero()

Methods in no.uib.cipr.matrix with parameters of type Matrix

Modifier and Type

Method

Description

Matrix

AbstractMatrix.add(double alpha, Matrix B)

Matrix

AbstractMatrix.add(Matrix B)

Matrix

Matrix.add(double alpha, Matrix B)

A = alpha*B + A.

Matrix

Matrix.add(Matrix B)

A = B + A.

void

GivensRotation.apply(Matrix H, int column, int i1, int i2)

Applies the Givens rotation to two elements in a matrix column

static int

Matrices.cardinality(Matrix A)

Returns the number of non-zero entries in the given matrix

protected void

AbstractMatrix.checkMultAdd(Matrix B, Matrix C)

Checks the arguments to mult and multAdd

protected void

AbstractMatrix.checkRank1(Matrix C)

Checks that a matrix rank1 update is possible for the given matrix

protected void

AbstractMatrix.checkRank2(Matrix B, Matrix C)

Checks that a rank2 update is legal for the given arguments

protected void

AbstractMatrix.checkSize(Matrix B)

Checks that the sizes of this matrix and the given conform

protected void

AbstractMatrix.checkSolve(Matrix B, Matrix X)

Checks that a matrix inversion is legal for the given arguments.

protected void

AbstractMatrix.checkTransABmultAdd(Matrix B, Matrix C)

Checks the arguments to transABmultAdd and transABmultAdd

protected void

AbstractMatrix.checkTransAmultAdd(Matrix B, Matrix C)

Checks the arguments to transAmult and transAmultAdd

protected void

AbstractMatrix.checkTransBmultAdd(Matrix B, Matrix C)

Checks the arguments to transBmult and transBmultAdd

protected void

AbstractMatrix.checkTranspose(Matrix B)

Checks that this matrix can be transposed into the given matrix

protected void

AbstractMatrix.checkTransRank1(Matrix C)

Checks that a transposed rank1 update is leagal with the given argument

protected void

AbstractMatrix.checkTransRank2(Matrix B, Matrix C)

Checks that a transposed rank2 update is leagal with the given arguments

static int[]

Matrices.columnBandwidth(Matrix A)

Finds the number of non-zero entries on each column

QRP

QRP.factor(Matrix A)

Executes a QR factorization for the given matrix.

static DenseCholesky

DenseCholesky.factorize(Matrix A)

Calculates a Cholesky decomposition

static DenseLU

DenseLU.factorize(Matrix A)

Creates an LU decomposition of the given matrix

static EVD

EVD.factorize(Matrix A)

Convenience method for computing the complete eigenvalue decomposition of the given matrix

static LQ

LQ.factorize(Matrix A)

Convenience method to compute a LQ decomposition

static PackCholesky

PackCholesky.factorize(Matrix A)

Calculates a Cholesky decomposition

static QL

QL.factorize(Matrix A)

Convenience method to compute a QL decomposition

static QR

QR.factorize(Matrix A)

Convenience method to compute a QR decomposition

static QRP

QRP.factorize(Matrix A)

Convenience method to compute a QR decomposition

static RQ

RQ.factorize(Matrix A)

Convenience method to compute an RQ decomposition

static SVD

SVD.factorize(Matrix A)

Convenience method for computing a full SVD

static SymmBandEVD

SymmBandEVD.factorize(Matrix A, int kd)

Convenience method for computing the full eigenvalue decomposition of the given matrix

static SymmDenseEVD

SymmDenseEVD.factorize(Matrix A)

Convenience method for computing the full eigenvalue decomposition of the given matrix

static SymmPackEVD

SymmPackEVD.factorize(Matrix A)

Convenience method for computing the full eigenvalue decomposition of the given matrix

static SymmTridiagEVD

SymmTridiagEVD.factorize(Matrix A)

Convenience method for computing the full eigenvalue decomposition of the given matrix

static double[][]

Matrices.getArray(Matrix A)

Returns an array of arrays containing a copy of the given matrix.

static int

Matrices.getNumSubDiagonals(Matrix A)

Finds the number of diagonals below the main diagonal.

static int

Matrices.getNumSuperDiagonals(Matrix A)

Finds the number of diagonals above the main diagonal.

static Matrix

Matrices.getSubMatrix(Matrix A, int[] row, int[] column)

Returns a view into the given matrix.

Matrix

AbstractMatrix.mult(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.mult(Matrix B, Matrix C)

Matrix

Matrix.mult(double alpha, Matrix B, Matrix C)

C = alpha*A*B

Matrix

Matrix.mult(Matrix B, Matrix C)

C = A*B

Matrix

AbstractMatrix.multAdd(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.multAdd(Matrix B, Matrix C)

Matrix

DenseMatrix.multAdd(double alpha, Matrix B, Matrix C)

Matrix

Matrix.multAdd(double alpha, Matrix B, Matrix C)

C = alpha*A*B + C

Matrix

Matrix.multAdd(Matrix B, Matrix C)

C = A*B + C

static Matrix

Matrices.random(Matrix A)

Populates a matrix with random numbers drawn from a uniform distribution between 0 and 1

Matrix

AbstractMatrix.rank1(double alpha, Matrix C)

Matrix

AbstractMatrix.rank1(Matrix C)

Matrix

Matrix.rank1(double alpha, Matrix C)

A = alpha*C*C^T + A.

Matrix

Matrix.rank1(Matrix C)

A = C*C^T + A.

Matrix

AbstractMatrix.rank2(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.rank2(Matrix B, Matrix C)

Matrix

Matrix.rank2(double alpha, Matrix B, Matrix C)

A = alpha*B*C^T + alpha*C*B^T + A.

Matrix

Matrix.rank2(Matrix B, Matrix C)

A = B*C^T + C*B^T + A.

double

BandCholesky.rcond(Matrix A)

Computes the reciprocal condition number

double

BandLU.rcond(Matrix A, Matrix.Norm norm)

Computes the reciprocal condition number, using either the infinity norm of the 1 norm.

double

DenseCholesky.rcond(Matrix A)

Computes the reciprocal condition number

double

DenseLU.rcond(Matrix A, Matrix.Norm norm)

Computes the reciprocal condition number, using either the infinity norm of the 1 norm.

double

PackCholesky.rcond(Matrix A)

Computes the reciprocal condition number

static int[]

Matrices.rowBandwidth(Matrix A)

Finds the number of non-zero entries on each row

Matrix

AbstractMatrix.set(double alpha, Matrix B)

Matrix

AbstractMatrix.set(Matrix B)

Matrix

Matrix.set(double alpha, Matrix B)

A=alpha*B.

Matrix

Matrix.set(Matrix B)

A=B.

Matrix

AbstractMatrix.solve(Matrix B, Matrix X)

Matrix

BandMatrix.solve(Matrix B, Matrix X)

Matrix

DenseMatrix.solve(Matrix B, Matrix X)

Matrix

LowerSPDBandMatrix.solve(Matrix B, Matrix X)

Matrix

LowerSPDDenseMatrix.solve(Matrix B, Matrix X)

Matrix

LowerSPDPackMatrix.solve(Matrix B, Matrix X)

Matrix

Matrix.solve(Matrix B, Matrix X)

X = A\B.

Matrix

SPDTridiagMatrix.solve(Matrix B, Matrix X)

Matrix

SymmTridiagMatrix.solve(Matrix B, Matrix X)

Matrix

TridiagMatrix.solve(Matrix B, Matrix X)

Matrix

UpperSPDBandMatrix.solve(Matrix B, Matrix X)

Matrix

UpperSPDDenseMatrix.solve(Matrix B, Matrix X)

Matrix

UpperSPDPackMatrix.solve(Matrix B, Matrix X)

static Matrix

Matrices.synchronizedMatrix(Matrix A)

Returns a synchronized matrix which wraps the given matrix.

static Matrix

Matrices.synchronizedMatrixByColumns(Matrix A)

Returns a synchronized matrix which wraps the given matrix.

static Matrix

Matrices.synchronizedMatrixByRows(Matrix A)

Returns a synchronized matrix which wraps the given matrix.

Matrix

AbstractMatrix.transABmult(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.transABmult(Matrix B, Matrix C)

Matrix

Matrix.transABmult(double alpha, Matrix B, Matrix C)

C = alpha*A^T*B^T

Matrix

Matrix.transABmult(Matrix B, Matrix C)

C = A^T*B^T

Matrix

AbstractMatrix.transABmultAdd(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.transABmultAdd(Matrix B, Matrix C)

Matrix

DenseMatrix.transABmultAdd(double alpha, Matrix B, Matrix C)

Matrix

Matrix.transABmultAdd(double alpha, Matrix B, Matrix C)

C = alpha*A^T*B^T + C

Matrix

Matrix.transABmultAdd(Matrix B, Matrix C)

C = A^T*B^T + C

Matrix

AbstractMatrix.transAmult(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.transAmult(Matrix B, Matrix C)

Matrix

Matrix.transAmult(double alpha, Matrix B, Matrix C)

C = alpha*A^T*B

Matrix

Matrix.transAmult(Matrix B, Matrix C)

C = A^T*B

Matrix

AbstractMatrix.transAmultAdd(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.transAmultAdd(Matrix B, Matrix C)

Matrix

DenseMatrix.transAmultAdd(double alpha, Matrix B, Matrix C)

Matrix

Matrix.transAmultAdd(double alpha, Matrix B, Matrix C)

C = alpha*A^T*B + C

Matrix

Matrix.transAmultAdd(Matrix B, Matrix C)

C = A^T*B + C

Matrix

AbstractMatrix.transBmult(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.transBmult(Matrix B, Matrix C)

Matrix

Matrix.transBmult(double alpha, Matrix B, Matrix C)

C = alpha*A*B^T

Matrix

Matrix.transBmult(Matrix B, Matrix C)

C = A*B^T

Matrix

AbstractMatrix.transBmultAdd(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.transBmultAdd(Matrix B, Matrix C)

Matrix

DenseMatrix.transBmultAdd(double alpha, Matrix B, Matrix C)

Matrix

Matrix.transBmultAdd(double alpha, Matrix B, Matrix C)

C = alpha*A*B^T + C

Matrix

Matrix.transBmultAdd(Matrix B, Matrix C)

C = A*B^T + C

Matrix

AbstractMatrix.transpose(Matrix B)

Matrix

Matrix.transpose(Matrix B)

Sets the tranpose of this matrix into B.

Matrix

AbstractMatrix.transRank1(double alpha, Matrix C)

Matrix

AbstractMatrix.transRank1(Matrix C)

Matrix

Matrix.transRank1(double alpha, Matrix C)

A = alpha*C^T*C + A The matrices must be square and of the same size

Matrix

Matrix.transRank1(Matrix C)

A = C^T*C + A The matrices must be square and of the same size

Matrix

AbstractMatrix.transRank2(double alpha, Matrix B, Matrix C)

Matrix

AbstractMatrix.transRank2(Matrix B, Matrix C)

Matrix

Matrix.transRank2(double alpha, Matrix B, Matrix C)

A = alpha*B^T*C + alpha*C^T*B + A.

Matrix

Matrix.transRank2(Matrix B, Matrix C)

A = B^T*C + C^T*B + A.

Matrix

AbstractMatrix.transSolve(Matrix B, Matrix X)

Matrix

DenseMatrix.transSolve(Matrix B, Matrix X)

Matrix

Matrix.transSolve(Matrix B, Matrix X)

X = A^T\B.

Matrix

SymmTridiagMatrix.transSolve(Matrix B, Matrix X)

static void

Matrices.zeroColumns(Matrix A, double diagonal, int... column)

Sets the selected columns of A equal zero, and puts diagonal on the diagonal of those columns.

static void

Matrices.zeroRows(Matrix A, double diagonal, int... row)

Sets the selected rows of A equal zero, and puts diagonal on the diagonal of those rows.

Constructors in no.uib.cipr.matrix with parameters of type Matrix

Modifier

Constructor

Description

protected

AbstractMatrix(Matrix A)

Constructor for AbstractMatrix, same size as A.

BandMatrix(Matrix A, int kl, int ku)

Constructor for BandMatrix

BandMatrix(Matrix A, int kl, int ku, boolean deep)

Constructor for BandMatrix

DenseMatrix(Matrix A)

Constructor for DenseMatrix

DenseMatrix(Matrix A, boolean deep)

Constructor for DenseMatrix

LowerSPDBandMatrix(Matrix A, int kd)

Constructor for LowerSPDBandMatrix

LowerSPDBandMatrix(Matrix A, int kd, boolean deep)

Constructor for LowerSPDBandMatrix

LowerSPDDenseMatrix(Matrix A)

Constructor for LowerSPDDenseMatrix

LowerSPDDenseMatrix(Matrix A, boolean deep)

Constructor for LowerSPDDenseMatrix

LowerSPDPackMatrix(Matrix A)

Constructor for LowerSPDPackMatrix

LowerSPDPackMatrix(Matrix A, boolean deep)

Constructor for LowerSPDPackMatrix

LowerSymmBandMatrix(Matrix A, int kd)

Constructor for LowerSymmBandMatrix

LowerSymmBandMatrix(Matrix A, int kd, boolean deep)

Constructor for LowerSymmBandMatrix

LowerSymmDenseMatrix(Matrix A)

Constructor for LowerSymmDenseMatrix

LowerSymmDenseMatrix(Matrix A, boolean deep)

Constructor for LowerSymmDenseMatrix

LowerSymmPackMatrix(Matrix A)

Constructor for LowerSymmPackMatrix

LowerSymmPackMatrix(Matrix A, boolean deep)

Constructor for LowerSymmPackMatrix

LowerTriangBandMatrix(Matrix A, int kd)

Constructor for LowerTriangBandMatrix

LowerTriangBandMatrix(Matrix A, int kd, boolean deep)

Constructor for LowerTriangBandMatrix

LowerTriangDenseMatrix(Matrix A)

Constructor for LowerTriangDenseMatrix

LowerTriangDenseMatrix(Matrix A, boolean deep)

Constructor for LowerTriangDenseMatrix

LowerTriangDenseMatrix(Matrix A, int k)

Constructor for LowerTriangDenseMatrix

LowerTriangDenseMatrix(Matrix A, int k, boolean deep)

Constructor for LowerTriangDenseMatrix

LowerTriangPackMatrix(Matrix A)

Constructor for LowerTriangPackMatrix

LowerTriangPackMatrix(Matrix A, boolean deep)

Constructor for LowerTriangPackMatrix

SPDTridiagMatrix(Matrix A)

Constructor for SPDTridiagMatrix

SPDTridiagMatrix(Matrix A, boolean deep)

Constructor for SPDTridiagMatrix

SymmTridiagMatrix(Matrix A)

Constructor for SymmTridiagMatrix

SymmTridiagMatrix(Matrix A, boolean deep)

Constructor for SymmTridiagMatrix

TridiagMatrix(Matrix A)

Constructor for TridiagMatrix

TridiagMatrix(Matrix A, boolean deep)

Constructor for TridiagMatrix

UnitLowerTriangBandMatrix(Matrix A, int kd)

Constructor for UnitLowerTriangBandMatrix

UnitLowerTriangBandMatrix(Matrix A, int kd, boolean deep)

Constructor for UnitLowerTriangBandMatrix

UnitLowerTriangDenseMatrix(Matrix A)

Constructor for UnitLowerTriangDenseMatrix

UnitLowerTriangDenseMatrix(Matrix A, boolean deep)

Constructor for UnitLowerTriangDenseMatrix

UnitLowerTriangPackMatrix(Matrix A)

Constructor for UnitLowerTriangPackMatrix

UnitLowerTriangPackMatrix(Matrix A, boolean deep)

Constructor for UnitLowerTriangPackMatrix

UnitUpperTriangBandMatrix(Matrix A, int kd)

Constructor for UnitUpperTriangBandMatrix

UnitUpperTriangBandMatrix(Matrix A, int kd, boolean deep)

Constructor for UnitUpperTriangBandMatrix

UnitUpperTriangDenseMatrix(Matrix A)

Constructor for UnitUpperTriangDenseMatrix.

UnitUpperTriangDenseMatrix(Matrix A, boolean deep)

Constructor for UnitUpperTriangDenseMatrix.

UnitUpperTriangPackMatrix(Matrix A)

Constructor for UnitUpperTriangPackMatrix

UnitUpperTriangPackMatrix(Matrix A, boolean deep)

Constructor for UnitUpperTriangPackMatrix

UpperSPDBandMatrix(Matrix A, int kd)

Constructor for UpperSPDBandMatrix

UpperSPDBandMatrix(Matrix A, int kd, boolean deep)

Constructor for UpperSPDBandMatrix

UpperSPDDenseMatrix(Matrix A)

Constructor for UpperSPDDenseMatrix

UpperSPDDenseMatrix(Matrix A, boolean deep)

Constructor for UpperSPDDenseMatrix

UpperSPDPackMatrix(Matrix A)

Constructor for UpperSPDPackMatrix

UpperSPDPackMatrix(Matrix A, boolean deep)

Constructor for UpperSPDPackMatrix

UpperSymmBandMatrix(Matrix A, int kd)

Constructor for UpperSymmBandMatrix

UpperSymmBandMatrix(Matrix A, int kd, boolean deep)

Constructor for UpperSymmBandMatrix

UpperSymmDenseMatrix(Matrix A)

Constructor for UpperSymmDenseMatrix

UpperSymmDenseMatrix(Matrix A, boolean deep)

Constructor for UpperSymmDenseMatrix

UpperSymmPackMatrix(Matrix A)

Constructor for UpperSymmPackMatrix

UpperSymmPackMatrix(Matrix A, boolean deep)

Constructor for UpperSymmPackMatrix

UpperTriangBandMatrix(Matrix A, int kd)

Constructor for UpperTriangBandMatrix

UpperTriangBandMatrix(Matrix A, int kd, boolean deep)

Constructor for UpperTriangBandMatrix

UpperTriangDenseMatrix(Matrix A)

Constructor for UpperTriangDenseMatrix

UpperTriangDenseMatrix(Matrix A, boolean deep)

Constructor for UpperTriangDenseMatrix

UpperTriangDenseMatrix(Matrix A, int k)

Constructor for UpperTriangDenseMatrix

UpperTriangDenseMatrix(Matrix A, int k, boolean deep)

Constructor for UpperTriangDenseMatrix

UpperTriangPackMatrix(Matrix A)

Constructor for UpperTriangPackMatrix

UpperTriangPackMatrix(Matrix A, boolean deep)

Constructor for UpperTriangPackMatrix
Uses of Matrix in no.uib.cipr.matrix.distributed

Classes in no.uib.cipr.matrix.distributed that implement Matrix

Modifier and Type

Class

Description

class

DistColMatrix

Deprecated.
the no.uib.cipr.matrix.distributed package has been deprecated because of a number of hard to fix concurrency bugs.

class

DistRowMatrix

Deprecated.
the no.uib.cipr.matrix.distributed package has been deprecated because of a number of hard to fix concurrency bugs.

Methods in no.uib.cipr.matrix.distributed with parameters of type Matrix

Modifier and Type

Method

Description

void

BlockDiagonalPreconditioner.setMatrix(Matrix A)

Deprecated.

void

TwoLevelPreconditioner.setMatrix(Matrix A)

Deprecated.

Constructors in no.uib.cipr.matrix.distributed with parameters of type Matrix

Modifier

Constructor

Description

DistColMatrix(int numRows, int numColumns, Communicator comm, Matrix A, Matrix B)

Deprecated.

Constructor for DistColMatrix

DistRowMatrix(int numRows, int numColumns, Communicator comm, Matrix A, Matrix B)

Deprecated.

Constructor for DistRowMatrix
Uses of Matrix in no.uib.cipr.matrix.sparse

Classes in no.uib.cipr.matrix.sparse that implement Matrix

Modifier and Type

Class

Description

class

CompColMatrix

Compressed column storage (CCS) matrix

class

CompDiagMatrix

Compressed diagonal storage (CDS) matrix

class

CompRowMatrix

Compressed row storage (CRS) matrix

class

FlexCompColMatrix

Matrix stored column-wise into sparse vectors

class

FlexCompRowMatrix

Matrix stored row-wise into sparse vectors

Methods in no.uib.cipr.matrix.sparse that return Matrix

Modifier and Type

Method

Description

Matrix

CompDiagMatrix.copy()

Matrix

FlexCompRowMatrix.copy()

Matrix

CompRowMatrix.mult(Matrix B, Matrix C)

Matrix

CompRowMatrix.set(Matrix B)

Matrix

FlexCompRowMatrix.set(Matrix B)

Matrix

CompDiagMatrix.zero()

Methods in no.uib.cipr.matrix.sparse with parameters of type Matrix

Modifier and Type

Method

Description

protected void

AbstractIterativeSolver.checkSizes(Matrix A, Vector b, Vector x)

Checks sizes of input data for IterativeSolver.solve(Matrix, Vector, Vector).

Matrix

CompRowMatrix.mult(Matrix B, Matrix C)

Matrix

CompRowMatrix.set(Matrix B)

Matrix

FlexCompRowMatrix.set(Matrix B)

void

AMG.setMatrix(Matrix A)

void

DiagonalPreconditioner.setMatrix(Matrix A)

void

ICC.setMatrix(Matrix A)

void

ILU.setMatrix(Matrix A)

void

ILUT.setMatrix(Matrix A)

void

Preconditioner.setMatrix(Matrix A)

Sets the operator matrix for the preconditioner.

void

SSOR.setMatrix(Matrix A)

Vector

BiCG.solve(Matrix A, Vector b, Vector x)

Vector

BiCGstab.solve(Matrix A, Vector b, Vector x)

Vector

CG.solve(Matrix A, Vector b, Vector x)

Vector

CGS.solve(Matrix A, Vector b, Vector x)

Vector

Chebyshev.solve(Matrix A, Vector b, Vector x)

Vector

GMRES.solve(Matrix A, Vector b, Vector x)

Vector

IR.solve(Matrix A, Vector b, Vector x)

Vector

IterativeSolver.solve(Matrix A, Vector b, Vector x)

Solves the given problem, writing result into the vector.

Vector

QMR.solve(Matrix A, Vector b, Vector x)

Constructors in no.uib.cipr.matrix.sparse with parameters of type Matrix

Modifier

Constructor

Description

CompColMatrix(Matrix A)

Constructor for CompColMatrix

CompColMatrix(Matrix A, boolean deep)

Constructor for CompColMatrix

CompDiagMatrix(Matrix A)

Creates a new sparse matrix copied from the given matrix.

CompDiagMatrix(Matrix A, boolean deep)

Creates a new sparse matrix copied from the given matrix.

CompDiagMatrix(Matrix A, int[] diagonal)

Creates a new sparse matrix copied from the given matrix.

CompDiagMatrix(Matrix A, int[] diagonal, boolean deep)

Creates a new sparse matrix copied from the given matrix.

CompRowMatrix(Matrix A)

Constructor for CompRowMatrix

CompRowMatrix(Matrix A, boolean deep)

Constructor for CompRowMatrix

FlexCompColMatrix(Matrix A)

Constructor for FlexCompColMatrix

FlexCompColMatrix(Matrix A, boolean deep)

Constructor for FlexCompColMatrix

FlexCompRowMatrix(Matrix A)

Constructor for FlexCompRowMatrix

FlexCompRowMatrix(Matrix A, boolean deep)

Constructor for FlexCompRowMatrix

Uses of Interfaceno.uib.cipr.matrix.Matrix

Uses of Matrix in no.uib.cipr.matrix

Uses of Matrix in no.uib.cipr.matrix.distributed

Uses of Matrix in no.uib.cipr.matrix.sparse

Uses of Interface
no.uib.cipr.matrix.Matrix