Eigen::IterScaling< MatrixType_ > Class Template Reference

#include <unsupported/Eigen/src/IterativeSolvers/Scaling.h>

Detailed Description

template<typename MatrixType_>
class Eigen::IterScaling< MatrixType_ >

iterative scaling algorithm to equilibrate rows and column norms in matrices

This class can be used as a preprocessing tool to accelerate the convergence of iterative methods

This feature is useful to limit the pivoting amount during LU/ILU factorization The scaling strategy as presented here preserves the symmetry of the problem NOTE It is assumed that the matrix does not have empty row or column,

Example with key steps

VectorXd x(n), b(n);
SparseMatrix<double> A;
// fill A and b;
IterScaling<SparseMatrix<double> > scal;
// Compute the left and right scaling vectors. The matrix is equilibrated at output
scal.computeRef(A);
// Scale the right hand side
b = scal.LeftScaling().cwiseProduct(b);
// Now, solve the equilibrated linear system with any available solver
 
// Scale back the computed solution
x = scal.RightScaling().cwiseProduct(x);

Template Parameters

MatrixType_

the type of the matrix. It should be a real square sparsematrix

References : D. Ruiz and B. Ucar, A Symmetry Preserving Algorithm for Matrix Scaling, INRIA Research report RR-7552

See also

IncompleteLUT

Public Member Functions
void	compute (const MatrixType &mat)
void	computeRef (MatrixType &mat)
VectorXd &	LeftScaling ()
VectorXd &	RightScaling ()
void	setTolerance (double tol)

Member Function Documentation

compute()

template<typename MatrixType_>

void Eigen::IterScaling< MatrixType_ >::compute ( const MatrixType & mat )

inline

Compute the left and right diagonal matrices to scale the input matrix mat

FIXME This algorithm will be modified such that the diagonal elements are permuted on the diagonal.

See also

LeftScaling() RightScaling()

computeRef()

template<typename MatrixType_>

void Eigen::IterScaling< MatrixType_ >::computeRef ( MatrixType & mat )

inline

Compute the left and right vectors to scale the vectors the input matrix is scaled with the computed vectors at output

See also

compute()

LeftScaling()

template<typename MatrixType_>

VectorXd & Eigen::IterScaling< MatrixType_ >::LeftScaling ( )

inline

Get the vector to scale the rows of the matrix

RightScaling()

template<typename MatrixType_>

VectorXd & Eigen::IterScaling< MatrixType_ >::RightScaling ( )

inline

Get the vector to scale the columns of the matrix

setTolerance()

template<typename MatrixType_>

void Eigen::IterScaling< MatrixType_ >::setTolerance ( double tol )

inline

Set the tolerance for the convergence of the iterative scaling algorithm

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The documentation for this class was generated from the following file:

• /usr/local/google/home/cantonios/dev/eigen/unsupported/Eigen/src/IterativeSolvers/Scaling.h