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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)

Detailed Description

ML black-box preconditioner for Epetra_RowMatrix derived classes.

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