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

Packages that use Vector

Package

Description

no.uib.cipr.matrix

no.uib.cipr.matrix.distributed

no.uib.cipr.matrix.sparse

Uses of Vector in no.uib.cipr.matrix

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

Modifier and Type

Class

Description

class

AbstractVector

Partial implementation of Vector.

class

DenseVector

Dense vector.

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

Modifier and Type

Method

Description

Vector

AbstractVector.add(double alpha, Vector y)

Vector

AbstractVector.add(Vector y)

Vector

DenseVector.add(double alpha, Vector y)

Vector

DenseVector.add(Vector y)

Vector

Vector.add(double alpha, Vector y)

x = alpha*y + x

Vector

Vector.add(Vector y)

x = y + x

Vector

AbstractVector.copy()

Vector

Vector.copy()

Creates a deep copy of the vector

static Vector

Matrices.getSubVector(Vector x, int[] index)

Returns a view into the given vector.

Vector

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

Vector

AbstractMatrix.mult(Vector x, Vector y)

Vector

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

y = alpha*A*x

Vector

Matrix.mult(Vector x, Vector y)

y = A*x

Vector

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

Vector

AbstractMatrix.multAdd(Vector x, Vector y)

Vector

BandMatrix.multAdd(double alpha, Vector x, Vector y)

Vector

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

Vector

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

y = alpha*A*x + y

Vector

Matrix.multAdd(Vector x, Vector y)

y = A*x + y

static Vector

Matrices.random(int size)

Creates a random vector.

static Vector

Matrices.random(Vector x)

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

Vector

AbstractVector.scale(double alpha)

Vector

Vector.scale(double alpha)

x=alpha*x

Vector

AbstractVector.set(double alpha, Vector y)

Vector

AbstractVector.set(Vector y)

Vector

DenseVector.set(double alpha, Vector y)

Vector

DenseVector.set(Vector y)

Vector

Vector.set(double alpha, Vector y)

x=alpha*y

Vector

Vector.set(Vector y)

x=y

Vector

AbstractMatrix.solve(Vector b, Vector x)

Vector

BandMatrix.solve(Vector b, Vector x)

Vector

DenseMatrix.solve(Vector b, Vector x)

Vector

Matrix.solve(Vector b, Vector x)

x = A\b.

Vector

SymmTridiagMatrix.solve(Vector b, Vector x)

Vector

TridiagMatrix.solve(Vector b, Vector x)

static Vector

Matrices.synchronizedVector(Vector x)

Returns a synchronized vector which wraps the given vector.

Vector

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

Vector

AbstractMatrix.transMult(Vector x, Vector y)

Vector

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

y = alpha*A^T*x

Vector

Matrix.transMult(Vector x, Vector y)

y = A^T*x

Vector

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

Vector

AbstractMatrix.transMultAdd(Vector x, Vector y)

Vector

BandMatrix.transMultAdd(double alpha, Vector x, Vector y)

Vector

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

Vector

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

y = alpha*A^T*x + y

Vector

Matrix.transMultAdd(Vector x, Vector y)

y = A^T*x + y

Vector

AbstractMatrix.transSolve(Vector b, Vector x)

Vector

DenseMatrix.transSolve(Vector b, Vector x)

Vector

Matrix.transSolve(Vector b, Vector x)

x = A^T\b.

Vector

SymmTridiagMatrix.transSolve(Vector b, Vector x)

Vector

AbstractVector.zero()

Vector

Vector.zero()

Zeros all the entries in the vector, while preserving any underlying structure

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

Modifier and Type

Method

Description

Vector

AbstractVector.add(double alpha, Vector y)

Vector

AbstractVector.add(Vector y)

Vector

DenseVector.add(double alpha, Vector y)

Vector

DenseVector.add(Vector y)

Vector

Vector.add(double alpha, Vector y)

x = alpha*y + x

Vector

Vector.add(Vector y)

x = y + x

void

GivensRotation.apply(Vector x, int i1, int i2)

Applies the Givens rotation to two elements of a vector

static int

Matrices.cardinality(Vector x)

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

protected void

AbstractMatrix.checkMultAdd(Vector x, Vector y)

Checks the arguments to mult and multAdd

protected void

AbstractMatrix.checkRank1(Vector x, Vector y)

Checks that a vector rank1 update is possible for the given vectors

protected void

AbstractMatrix.checkRank2(Vector x, Vector y)

Checks that a vector rank2 update is legal with the given vectors

protected void

AbstractVector.checkSize(Vector y)

Checks for conformant sizes

protected void

AbstractMatrix.checkSolve(Vector b, Vector x)

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

protected void

AbstractMatrix.checkTransMultAdd(Vector x, Vector y)

Checks the arguments to transMult and transMultAdd

double

AbstractVector.dot(Vector y)

double

DenseVector.dot(Vector y)

double

Vector.dot(Vector y)

x^T*y

static double[]

Matrices.getArray(Vector x)

Returns a dense array containing a copy of the given vector

static Vector

Matrices.getSubVector(Vector x, int[] index)

Returns a view into the given vector.

Vector

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

Vector

AbstractMatrix.mult(Vector x, Vector y)

Vector

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

y = alpha*A*x

Vector

Matrix.mult(Vector x, Vector y)

y = A*x

Vector

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

Vector

AbstractMatrix.multAdd(Vector x, Vector y)

Vector

BandMatrix.multAdd(double alpha, Vector x, Vector y)

Vector

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

Vector

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

y = alpha*A*x + y

Vector

Matrix.multAdd(Vector x, Vector y)

y = A*x + y

static Vector

Matrices.random(Vector x)

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

Matrix

AbstractMatrix.rank1(double alpha, Vector x)

Matrix

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

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, 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(Vector x)

A = x*x^T + A.

Matrix

Matrix.rank1(Vector x, Vector y)

A = x*y^T + A.

Matrix

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

Matrix

AbstractMatrix.rank2(Vector x, Vector y)

Matrix

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

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

Matrix

Matrix.rank2(Vector x, Vector y)

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

Vector

AbstractVector.set(double alpha, Vector y)

Vector

AbstractVector.set(Vector y)

Vector

DenseVector.set(double alpha, Vector y)

Vector

DenseVector.set(Vector y)

Vector

Vector.set(double alpha, Vector y)

x=alpha*y

Vector

Vector.set(Vector y)

x=y

Vector

AbstractMatrix.solve(Vector b, Vector x)

Vector

BandMatrix.solve(Vector b, Vector x)

Vector

DenseMatrix.solve(Vector b, Vector x)

Vector

Matrix.solve(Vector b, Vector x)

x = A\b.

Vector

SymmTridiagMatrix.solve(Vector b, Vector x)

Vector

TridiagMatrix.solve(Vector b, Vector x)

static Vector

Matrices.synchronizedVector(Vector x)

Returns a synchronized vector which wraps the given vector.

Vector

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

Vector

AbstractMatrix.transMult(Vector x, Vector y)

Vector

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

y = alpha*A^T*x

Vector

Matrix.transMult(Vector x, Vector y)

y = A^T*x

Vector

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

Vector

AbstractMatrix.transMultAdd(Vector x, Vector y)

Vector

BandMatrix.transMultAdd(double alpha, Vector x, Vector y)

Vector

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

Vector

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

y = alpha*A^T*x + y

Vector

Matrix.transMultAdd(Vector x, Vector y)

y = A^T*x + y

Vector

AbstractMatrix.transSolve(Vector b, Vector x)

Vector

DenseMatrix.transSolve(Vector b, Vector x)

Vector

Matrix.transSolve(Vector b, Vector x)

x = A^T\b.

Vector

SymmTridiagMatrix.transSolve(Vector b, Vector x)

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

Modifier

Constructor

Description

protected

AbstractVector(Vector x)

Constructor for AbstractVector, same size as x

DenseMatrix(Vector x)

Constructor for DenseMatrix.

DenseMatrix(Vector[] x)

Constructor for DenseMatrix.

DenseMatrix(Vector x, boolean deep)

Constructor for DenseMatrix.

DenseVector(Vector x)

Constructor for DenseVector

DenseVector(Vector x, boolean deep)

Constructor for DenseVector
Uses of Vector in no.uib.cipr.matrix.distributed

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

Modifier and Type

Class

Description

class

DistVector

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 that return Vector

Modifier and Type

Method

Description

Vector

BlockDiagonalPreconditioner.apply(Vector b, Vector x)

Deprecated.

Vector

TwoLevelPreconditioner.apply(Vector b, Vector x)

Deprecated.

Vector

DistVector.getLocal()

Deprecated.

Returns the local part of the vector

Vector

DistColMatrix.multAdd(double alpha, Vector x, Vector y)

Deprecated.

Vector

DistRowMatrix.multAdd(double alpha, Vector x, Vector y)

Deprecated.

Vector

BlockDiagonalPreconditioner.transApply(Vector b, Vector x)

Deprecated.

Vector

TwoLevelPreconditioner.transApply(Vector b, Vector x)

Deprecated.

Vector

DistColMatrix.transMultAdd(double alpha, Vector x, Vector y)

Deprecated.

Vector

DistRowMatrix.transMultAdd(double alpha, Vector x, Vector y)

Deprecated.

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

Modifier and Type

Method

Description

DistVector

DistVector.add(double alpha, Vector y)

Deprecated.

Vector

BlockDiagonalPreconditioner.apply(Vector b, Vector x)

Deprecated.

Vector

TwoLevelPreconditioner.apply(Vector b, Vector x)

Deprecated.

double

DistVector.dot(Vector y)

Deprecated.

Vector

DistColMatrix.multAdd(double alpha, Vector x, Vector y)

Deprecated.

Vector

DistRowMatrix.multAdd(double alpha, Vector x, Vector y)

Deprecated.

DistVector

DistVector.set(double alpha, Vector y)

Deprecated.

Vector

BlockDiagonalPreconditioner.transApply(Vector b, Vector x)

Deprecated.

Vector

TwoLevelPreconditioner.transApply(Vector b, Vector x)

Deprecated.

Vector

DistColMatrix.transMultAdd(double alpha, Vector x, Vector y)

Deprecated.

Vector

DistRowMatrix.transMultAdd(double alpha, Vector x, Vector y)

Deprecated.

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

Modifier

Constructor

Description

DistVector(int size, Communicator comm, Vector x)

Deprecated.

Constructor for DistVector
Uses of Vector in no.uib.cipr.matrix.sparse

Subinterfaces of Vector in no.uib.cipr.matrix.sparse

Modifier and Type

Interface

Description

interface

ISparseVector

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

Modifier and Type

Class

Description

class

SparseVector

Sparse vector

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

Modifier and Type

Method

Description

Vector

AMG.apply(Vector b, Vector x)

Vector

DiagonalPreconditioner.apply(Vector b, Vector x)

Vector

ICC.apply(Vector b, Vector x)

Vector

ILU.apply(Vector b, Vector x)

Vector

ILUT.apply(Vector b, Vector x)

Vector

Preconditioner.apply(Vector b, Vector x)

Solves the approximate problem with the given right hand side.

Vector

SSOR.apply(Vector b, Vector x)

Vector

CompDiagMatrix.mult(Vector x, Vector y)

Vector

CompRowMatrix.mult(Vector x, Vector y)

Vector

CompColMatrix.multAdd(double alpha, Vector x, Vector y)

Vector

CompDiagMatrix.multAdd(double alpha, Vector x, Vector y)

Vector

CompRowMatrix.multAdd(double alpha, Vector x, Vector y)

Vector

FlexCompColMatrix.multAdd(double alpha, Vector x, Vector y)

Vector

FlexCompRowMatrix.multAdd(double alpha, Vector x, Vector y)

Vector

SparseVector.set(Vector y)

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)

Vector

AMG.transApply(Vector b, Vector x)

Vector

DiagonalPreconditioner.transApply(Vector b, Vector x)

Vector

ICC.transApply(Vector b, Vector x)

Vector

ILU.transApply(Vector b, Vector x)

Vector

ILUT.transApply(Vector b, Vector x)

Vector

Preconditioner.transApply(Vector b, Vector x)

Solves the approximate transpose problem with the given right hand side.

Vector

SSOR.transApply(Vector b, Vector x)

Vector

CompColMatrix.transMult(Vector x, Vector y)

Vector

CompRowMatrix.transMult(Vector x, Vector y)

Vector

CompColMatrix.transMultAdd(double alpha, Vector x, Vector y)

Vector

CompDiagMatrix.transMultAdd(double alpha, Vector x, Vector y)

Vector

CompRowMatrix.transMultAdd(double alpha, Vector x, Vector y)

Vector

FlexCompColMatrix.transMultAdd(double alpha, Vector x, Vector y)

Vector

FlexCompRowMatrix.transMultAdd(double alpha, Vector x, Vector y)

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

Modifier and Type

Method

Description

Vector

AMG.apply(Vector b, Vector x)

Vector

DiagonalPreconditioner.apply(Vector b, Vector x)

Vector

ICC.apply(Vector b, Vector x)

Vector

ILU.apply(Vector b, Vector x)

Vector

ILUT.apply(Vector b, Vector x)

Vector

Preconditioner.apply(Vector b, Vector x)

Solves the approximate problem with the given right hand side.

Vector

SSOR.apply(Vector b, Vector x)

protected void

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

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

boolean

AbstractIterationMonitor.converged(double r, Vector x)

boolean

AbstractIterationMonitor.converged(Vector r)

boolean

AbstractIterationMonitor.converged(Vector r, Vector x)

boolean

IterationMonitor.converged(double r, Vector x)

Checks for convergence

boolean

IterationMonitor.converged(Vector r)

Checks for convergence

boolean

IterationMonitor.converged(Vector r, Vector x)

Checks for convergence

protected abstract boolean

AbstractIterationMonitor.convergedI(double r, Vector x)

protected boolean

DefaultIterationMonitor.convergedI(double r, Vector x)

protected boolean

MatrixIterationMonitor.convergedI(double r, Vector x)

double

SparseVector.dot(Vector y)

void

IterationReporter.monitor(double r, Vector x, int i)

Registers current information

void

NoIterationReporter.monitor(double r, Vector x, int i)

void

OutputIterationReporter.monitor(double r, Vector x, int i)

Vector

CompDiagMatrix.mult(Vector x, Vector y)

Vector

CompRowMatrix.mult(Vector x, Vector y)

Vector

CompColMatrix.multAdd(double alpha, Vector x, Vector y)

Vector

CompDiagMatrix.multAdd(double alpha, Vector x, Vector y)

Vector

CompRowMatrix.multAdd(double alpha, Vector x, Vector y)

Vector

FlexCompColMatrix.multAdd(double alpha, Vector x, Vector y)

Vector

FlexCompRowMatrix.multAdd(double alpha, Vector x, Vector y)

Vector

SparseVector.set(Vector y)

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)

Vector

AMG.transApply(Vector b, Vector x)

Vector

DiagonalPreconditioner.transApply(Vector b, Vector x)

Vector

ICC.transApply(Vector b, Vector x)

Vector

ILU.transApply(Vector b, Vector x)

Vector

ILUT.transApply(Vector b, Vector x)

Vector

Preconditioner.transApply(Vector b, Vector x)

Solves the approximate transpose problem with the given right hand side.

Vector

SSOR.transApply(Vector b, Vector x)

Vector

CompColMatrix.transMult(Vector x, Vector y)

Vector

CompRowMatrix.transMult(Vector x, Vector y)

Vector

CompColMatrix.transMultAdd(double alpha, Vector x, Vector y)

Vector

CompDiagMatrix.transMultAdd(double alpha, Vector x, Vector y)

Vector

CompRowMatrix.transMultAdd(double alpha, Vector x, Vector y)

Vector

FlexCompColMatrix.transMultAdd(double alpha, Vector x, Vector y)

Vector

FlexCompRowMatrix.transMultAdd(double alpha, Vector x, Vector y)

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

Modifier

Constructor

Description

BiCG(Vector template)

Constructor for BiCG.

BiCGstab(Vector template)

Constructor for BiCGstab.

CG(Vector template)

Constructor for CG.

CGS(Vector template)

Constructor for CGS.

Chebyshev(Vector template, double eigmin, double eigmax)

Constructor for Chebyshev.

GMRES(Vector template)

Constructor for GMRES.

GMRES(Vector template, int restart)

Constructor for GMRES.

IR(Vector template)

Constructor for IR.

QMR(Vector template)

Constructor for QMR.

QMR(Vector template, Preconditioner M1, Preconditioner M2)

Constructor for QMR.

SparseVector(Vector x)

Constructor for SparseVector, and copies the contents from the supplied vector.

SparseVector(Vector x, boolean deep)

Constructor for SparseVector, and copies the contents from the supplied vector.

Uses of Interfaceno.uib.cipr.matrix.Vector

Uses of Vector in no.uib.cipr.matrix

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

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

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