ml_anasazi.h File Reference

Interface to the Trilinos package Anasazi. More...

#include "ml_include.h"
#include "ml_struct.h"
#include "ml_smoother.h"
#include "Teuchos_ParameterList.hpp"

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Namespaces
namespace	ML_Anasazi
	ML_Anasazi: default namespace for all Anasazi interfaces.
Functions
int	ML_Anasazi::Interface (const Epetra_RowMatrix *RowMatrix, Epetra_MultiVector &EigenVectors, double RealEigenvalues[], double ImagEigenvalues[], Teuchos::ParameterList &List, double RealEigenvectors[]=0, double ImagEigenvectors[]=0, int *NumRealEigenvectors=0, int *NumImagEigenvectors=0, ML *ml=0)
	Interface to Anasazi to eigen-computations.
int	ML_Anasazi::GetFieldOfValuesBox (const Epetra_RowMatrix *RowMatrix, double &MaxReal, double &MaxImag, Teuchos::ParameterList &AnasaziList)
	Computes the size of a box containing the field of values.
int	ML_Anasazi_Get_FieldOfValuesBox_Interface (ML_Operator *Amat, struct ML_Field_Of_Values *fov)
	Interface from C code to Anasazi to compute the field of values.
int	ML_Anasazi_Get_SpectralNorm_Anasazi (ML_Operator *Amat, ML_Smoother *smoother, int MaxIters, double Tolerance, int IsProblemSymmetric, int UseDiagonalScaling, double *LambdaMax)
	Interface from C code to Anasazi to compute the maximum eigenvalue.

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Detailed Description

Anasazi can be used by ML to eigenvalue computations. The user can:

• use Anasazi to estimate the maximum eigenvalue of a given level matrix (for smoothed aggregation);
• use Anasazi to compute the low-convergence modes, and filter them;
• use Anasazi to compute the field-of-values of a non-symmetric operator, and use this information to improve smoothed aggregation for highly non-symmetric systems.

Author:

Marzio Sala, SNL (9214)

Date:

Last update to Doxygen: 22-Jul-04

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Function Documentation

int ML_Anasazi_Get_FieldOfValuesBox_Interface	(	ML_Operator *	Amat,
		struct ML_Field_Of_Values *	fov
	)

int ML_Anasazi_Get_SpectralNorm_Anasazi	(	ML_Operator *	Amat,
		ML_Smoother *	smoother,
		int	MaxIters,
		double	Tolerance,
		int	IsProblemSymmetric,
		int	UseDiagonalScaling,
		double *	LambdaMax
	)