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

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

Packages that use Vector
no.uib.cipr.matrix | Dense and structured sparse matrices, along with matrix factorisations and solvers.
no.uib.cipr.matrix.distributed | Message passing interface (MPI) for Java.
no.uib.cipr.matrix.sparse | Unstructured sparse matrices and vectors with iterative solvers and preconditioners.

Uses of Vector in no.uib.cipr.matrix

Classes in no.uib.cipr.matrix that implement Vector
`class` | `AbstractVector` Partial implementation of `Vector`.
`class` | `DenseVector` Dense vector.

Methods in no.uib.cipr.matrix that return Vector
`Vector` | `AbstractVector.add(double alpha, Vector y)`
`Vector` | `DenseVector.add(double alpha, Vector y)`
`Vector` | `Vector.add(double alpha, Vector y)` `x = alpha*y + x`
`Vector` | `AbstractVector.add(Vector y)`
`Vector` | `DenseVector.add(Vector y)`
`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` | `Matrix.mult(double alpha, Vector x, Vector y)` `y = alpha*A*x`
`Vector` | `AbstractMatrix.mult(Vector x, Vector y)`
`Vector` | `Matrix.mult(Vector x, Vector y)` `y = A*x`
`Vector` | `AbstractMatrix.multAdd(double alpha, 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` | `AbstractMatrix.multAdd(Vector x, Vector 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` | `DenseVector.set(double alpha, Vector y)`
`Vector` | `Vector.set(double alpha, Vector y)` `x=alpha*y`
`Vector` | `AbstractVector.set(Vector y)`
`Vector` | `DenseVector.set(Vector 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` | `Matrix.transMult(double alpha, Vector x, Vector y)` `y = alpha*AT*x`
`Vector` | `AbstractMatrix.transMult(Vector x, Vector y)`
`Vector` | `Matrix.transMult(Vector x, Vector y)` `y = AT*x`
`Vector` | `AbstractMatrix.transMultAdd(double alpha, 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*AT*x + y`
`Vector` | `AbstractMatrix.transMultAdd(Vector x, Vector y)`
`Vector` | `Matrix.transMultAdd(Vector x, Vector y)` `y = AT*x + y`
`Vector` | `AbstractMatrix.transSolve(Vector b, Vector x)`
`Vector` | `DenseMatrix.transSolve(Vector b, Vector x)`
`Vector` | `Matrix.transSolve(Vector b, Vector x)` `x = AT\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
`Vector` | `AbstractVector.add(double alpha, Vector y)`
`Vector` | `DenseVector.add(double alpha, Vector y)`
`Vector` | `Vector.add(double alpha, Vector y)` `x = alpha*y + x`
`Vector` | `AbstractVector.add(Vector y)`
`Vector` | `DenseVector.add(Vector y)`
`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)` `xT*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` | `Matrix.mult(double alpha, Vector x, Vector y)` `y = alpha*A*x`
`Vector` | `AbstractMatrix.mult(Vector x, Vector y)`
`Vector` | `Matrix.mult(Vector x, Vector y)` `y = A*x`
`Vector` | `AbstractMatrix.multAdd(double alpha, 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` | `AbstractMatrix.multAdd(Vector x, Vector 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` | `Matrix.rank1(double alpha, Vector x)` `A = alpha*x*xT + A`.
`Matrix` | `AbstractMatrix.rank1(double alpha, Vector x, Vector y)`
`Matrix` | `DenseMatrix.rank1(double alpha, Vector x, Vector y)`
`Matrix` | `Matrix.rank1(double alpha, Vector x, Vector y)` `A = alpha*x*yT + A`.
`Matrix` | `AbstractMatrix.rank1(Vector x)`
`Matrix` | `Matrix.rank1(Vector x)` `A = x*xT + A`.
`Matrix` | `AbstractMatrix.rank1(Vector x, Vector y)`
`Matrix` | `Matrix.rank1(Vector x, Vector y)` `A = x*yT + A`.
`Matrix` | `AbstractMatrix.rank2(double alpha, Vector x, Vector y)`
`Matrix` | `Matrix.rank2(double alpha, Vector x, Vector y)` `A = alpha*x*yT + alpha*y*xT + A`.
`Matrix` | `AbstractMatrix.rank2(Vector x, Vector y)`
`Matrix` | `Matrix.rank2(Vector x, Vector y)` `A = x*yT + y*xT + A`.
`Vector` | `AbstractVector.set(double alpha, Vector y)`
`Vector` | `DenseVector.set(double alpha, Vector y)`
`Vector` | `Vector.set(double alpha, Vector y)` `x=alpha*y`
`Vector` | `AbstractVector.set(Vector y)`
`Vector` | `DenseVector.set(Vector 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` | `Matrix.transMult(double alpha, Vector x, Vector y)` `y = alpha*AT*x`
`Vector` | `AbstractMatrix.transMult(Vector x, Vector y)`
`Vector` | `Matrix.transMult(Vector x, Vector y)` `y = AT*x`
`Vector` | `AbstractMatrix.transMultAdd(double alpha, 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*AT*x + y`
`Vector` | `AbstractMatrix.transMultAdd(Vector x, Vector y)`
`Vector` | `Matrix.transMultAdd(Vector x, Vector y)` `y = AT*x + y`
`Vector` | `AbstractMatrix.transSolve(Vector b, Vector x)`
`Vector` | `DenseMatrix.transSolve(Vector b, Vector x)`
`Vector` | `Matrix.transSolve(Vector b, Vector x)` `x = AT\b`.
`Vector` | `SymmTridiagMatrix.transSolve(Vector b, Vector x)`

Constructors in no.uib.cipr.matrix with parameters of type Vector
`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
`class` | `DistVector` Distributed memory vector

Methods in no.uib.cipr.matrix.distributed that return Vector
`Vector` | `BlockDiagonalPreconditioner.apply(Vector b, Vector x)`
`Vector` | `TwoLevelPreconditioner.apply(Vector b, Vector x)`
`Vector` | `DistVector.getLocal()` Returns the local part of the vector
`Vector` | `DistColMatrix.multAdd(double alpha, Vector x, Vector y)`
`Vector` | `DistRowMatrix.multAdd(double alpha, Vector x, Vector y)`
`Vector` | `BlockDiagonalPreconditioner.transApply(Vector b, Vector x)`
`Vector` | `TwoLevelPreconditioner.transApply(Vector b, Vector x)`
`Vector` | `DistColMatrix.transMultAdd(double alpha, Vector x, Vector y)`
`Vector` | `DistRowMatrix.transMultAdd(double alpha, Vector x, Vector y)`

Methods in no.uib.cipr.matrix.distributed with parameters of type Vector
`DistVector` | `DistVector.add(double alpha, Vector y)`
`Vector` | `BlockDiagonalPreconditioner.apply(Vector b, Vector x)`
`Vector` | `TwoLevelPreconditioner.apply(Vector b, Vector x)`
`double` | `DistVector.dot(Vector y)`
`Vector` | `DistColMatrix.multAdd(double alpha, Vector x, Vector y)`
`Vector` | `DistRowMatrix.multAdd(double alpha, Vector x, Vector y)`
`DistVector` | `DistVector.set(double alpha, Vector y)`
`Vector` | `BlockDiagonalPreconditioner.transApply(Vector b, Vector x)`
`Vector` | `TwoLevelPreconditioner.transApply(Vector b, Vector x)`
`Vector` | `DistColMatrix.transMultAdd(double alpha, Vector x, Vector y)`
`Vector` | `DistRowMatrix.transMultAdd(double alpha, Vector x, Vector y)`

Constructors in no.uib.cipr.matrix.distributed with parameters of type Vector
`DistVector(int size, Communicator comm, Vector x)` Constructor for DistVector

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

Subinterfaces of Vector in no.uib.cipr.matrix.sparse
`interface` | `ISparseVector`

Classes in no.uib.cipr.matrix.sparse that implement Vector
`class` | `SparseVector` Sparse vector

Methods in no.uib.cipr.matrix.sparse that return Vector
`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
`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` | `IterationMonitor.converged(double r, Vector x)` Checks for convergence
`boolean` | `AbstractIterationMonitor.converged(Vector r)`
`boolean` | `IterationMonitor.converged(Vector r)` Checks for convergence
`boolean` | `AbstractIterationMonitor.converged(Vector r, Vector x)`
`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
`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.

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