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Stokhos_JacobiPreconditioner.hpp
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/*
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// @HEADER
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// ***********************************************************************
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//
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// Stokhos Package
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// Copyright (2009) Sandia Corporation
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//
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// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
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// license for use of this work by or on behalf of the U.S. Government.
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are
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// met:
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// 1. Redistributions of source code must retain the above copyright
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// notice, this list of conditions and the following disclaimer.
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// 2. Redistributions in binary form must reproduce the above copyright
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// notice, this list of conditions and the following disclaimer in the
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// documentation and/or other materials provided with the distribution.
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// 3. Neither the name of the Corporation nor the names of the
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// contributors may be used to endorse or promote products derived from
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// this software without specific prior written permission.
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// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
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//
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// Questions? Contact Eric T. Phipps (etphipp@sandia.gov).
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//
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// ***********************************************************************
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// @HEADER
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*/
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#ifndef STOKHOS_JACOBIPRECONDITIONER_HPP
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#define STOKHOS_JACOBIPRECONDITIONER_HPP
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#include "Teuchos_RCP.hpp"
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#include "
Stokhos_Operator.hpp
"
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#include "Teuchos_SerialDenseMatrix.hpp"
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namespace
Stokhos
{
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template
<
typename
ordinal_type,
typename
value_type>
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class
JacobiPreconditioner
:
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public
Stokhos::Operator
<ordinal_type,value_type> {
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public
:
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JacobiPreconditioner
(
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const
Teuchos::SerialDenseMatrix<ordinal_type, value_type>& A_) :
A
(A_) {}
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virtual
~JacobiPreconditioner
() {}
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virtual
ordinal_type
ApplyInverse
(
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const
Teuchos::SerialDenseMatrix<ordinal_type, value_type>& Input,
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Teuchos::SerialDenseMatrix<ordinal_type, value_type>& Result,
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ordinal_type
m)
const
{
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ordinal_type
n=Input.numRows();
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Teuchos::SerialDenseMatrix<ordinal_type, value_type> G(Teuchos::Copy,
A
);
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Teuchos::SerialDenseMatrix<ordinal_type, value_type> z(n,1);
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for
(
ordinal_type
j
=0;
j
<m;
j
++){
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if
(
j
==0){
// Compute z=D-1r
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for
(
ordinal_type
i=0; i<n; i++)
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z(i,0)=Input(i,0)/
A
(i,i);
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}
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else
{
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//Compute G=invD(-L-U)=I-inv(D)A
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for
(
ordinal_type
i=0; i<n; i++){
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for
(
ordinal_type
j
=0;
j
<n;
j
++){
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if
(
j
==i)
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G(i,
j
)=0;
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else
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G(i,
j
)=-
A
(i,
j
)/
A
(i,i);
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}
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}
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Result.assign(z);
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//z=Gz+inv(D)r
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Result.multiply(Teuchos::NO_TRANS,Teuchos::NO_TRANS,1.0, G, z, 1.0);
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}
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}
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return
0;
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}
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protected
:
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const
Teuchos::SerialDenseMatrix<ordinal_type, value_type>&
A
;
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};
// class JacobiPreconditioner
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}
// namespace Stokhos
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#endif
// STOKHOS_JACOBIPRECONDITIONER_HPP
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j
j
Definition
Sacado_Fad_Exp_MP_Vector.hpp:527
Stokhos_Operator.hpp
Stokhos::JacobiPreconditioner::~JacobiPreconditioner
virtual ~JacobiPreconditioner()
Destructor.
Definition
Stokhos_JacobiPreconditioner.hpp:65
Stokhos::JacobiPreconditioner::A
const Teuchos::SerialDenseMatrix< ordinal_type, value_type > & A
Definition
Stokhos_JacobiPreconditioner.hpp:101
Stokhos::JacobiPreconditioner::ApplyInverse
virtual ordinal_type ApplyInverse(const Teuchos::SerialDenseMatrix< ordinal_type, value_type > &Input, Teuchos::SerialDenseMatrix< ordinal_type, value_type > &Result, ordinal_type m) const
Returns the result of a Operator inverse applied to a Teuchos::SerialDenseMatrix Input in Result.
Definition
Stokhos_JacobiPreconditioner.hpp:67
Stokhos::JacobiPreconditioner::JacobiPreconditioner
JacobiPreconditioner(const Teuchos::SerialDenseMatrix< ordinal_type, value_type > &A_)
Constructor.
Definition
Stokhos_JacobiPreconditioner.hpp:61
Stokhos::Operator
Definition
Stokhos_Operator.hpp:52
Stokhos::ordinal_type
Stokhos
Top-level namespace for Stokhos classes and functions.
Definition
Stokhos_AbstractPreconditionerFactory.hpp:48
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