ml_MultiLevelPreconditioner_Smoothers.cpp File Reference

ML black-box preconditioner for Epetra_RowMatrix derived classes. More...

#include "ml_common.h"
#include "ml_include.h"
#include "Epetra_Map.h"
#include "Epetra_Vector.h"
#include "Epetra_FECrsMatrix.h"
#include "Epetra_VbrMatrix.h"
#include "Epetra_SerialDenseMatrix.h"
#include "Epetra_SerialDenseVector.h"
#include "Epetra_SerialDenseSolver.h"
#include "Epetra_Import.h"
#include "Epetra_Time.h"
#include "Epetra_RowMatrix.h"
#include "Epetra_MpiComm.h"
#include "ml_ifpack_wrap.h"
#include "ml_self_wrap.h"
#include "Teuchos_ParameterList.hpp"
#include "Teuchos_RefCountPtr.hpp"
#include "ml_epetra.h"
#include "ml_MultiLevelPreconditioner.h"
#include "Ifpack_Preconditioner.h"
#include "Ifpack_Chebyshev.h"
#include "ml_petsc.h"

Include dependency graph for ml_MultiLevelPreconditioner_Smoothers.cpp:

Functions
int	ML_Anasazi_Get_SpectralNorm_Anasazi (ML_Operator *Amat, ML_Smoother *Smoother, int MaxIters, double Tolerance, int IsProblemSymmetric, int UseDiagonalScaling, double *LambdaMax)
double	ML_Smoother_ChebyshevAlpha (double, ML *, int, int)

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Detailed Description

Authors:

Marzio Sala, Ray Tuminaro, Jonathan Hu, Michael Gee, Chris Siefert

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Function Documentation

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

double ML_Smoother_ChebyshevAlpha	(	double	alpha,
		ML *	ml,
		int	here,
		int	next
	)