sparsesmoothers.hpp

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// Copyright (c) 2010, Lawrence Livermore National Security, LLC. Produced at
// the Lawrence Livermore National Laboratory. LLNL-CODE-443211. All Rights
// reserved. See file COPYRIGHT for details.
//
// This file is part of the MFEM library. For more information and source code
// availability see http://mfem.googlecode.com.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the GNU Lesser General Public License (as published by the Free
// Software Foundation) version 2.1 dated February 1999.

#ifndef MFEM_SPARSEMATSMOOTHERS
#define MFEM_SPARSEMATSMOOTHERS

#include "../config/config.hpp"
#include "sparsemat.hpp"

namespace mfem
{

class SparseSmoother : public MatrixInverse
{
protected:
   const SparseMatrix *oper;

public:
   SparseSmoother() { oper = NULL; }

   SparseSmoother(const SparseMatrix &a)
      : MatrixInverse(a) { oper = &a; }

   virtual void SetOperator(const Operator &a);
};

class GSSmoother : public SparseSmoother
{
protected:
   int type; // 0, 1, 2 - symmetric, forward, backward
   int iterations;

public:
   GSSmoother(int t = 0, int it = 1) { type = t; iterations = it; }

   GSSmoother(const SparseMatrix &a, int t = 0, int it = 1)
      : SparseSmoother(a) { type = t; iterations = it; }

   virtual void Mult(const Vector &x, Vector &y) const;
};

class DSmoother : public SparseSmoother
{
protected:
   int type; // 0, 1, 2 - scaled Jacobi, scaled l1-Jacobi, scaled lumped-Jacobi
   double scale;
   int iterations;

   mutable Vector z;

public:
   DSmoother(int t = 0, double s = 1., int it = 1)
   { type = t; scale = s; iterations = it; }

   DSmoother(const SparseMatrix &a, int t = 0, double s = 1., int it = 1);

   virtual void Mult(const Vector &x, Vector &y) const;
};

}

#endif