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//===========================================================================
//
// Copyright (C) 2002-2008 Yves Renard
//
// This file is a part of GETFEM++
//
// Getfem++ is free software; you can redistribute it and/or modify it
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//===========================================================================
// This file is a modified version of bicgstab.h from ITL.
// See http://osl.iu.edu/research/itl/
// Following the corresponding Copyright notice.
//===========================================================================
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/**@file gmm_solver_bicgstab.h
@author Andrew Lumsdaine <lums@osl.iu.edu>
@author Lie-Quan Lee <llee@osl.iu.edu>
@author Yves Renard <Yves.Renard@insa-lyon.fr>
@date October 13, 2002.
@brief BiCGStab iterative solver.
*/
#ifndef GMM_SOLVER_BICGSTAB_H__
#define GMM_SOLVER_BICGSTAB_H__
#include "gmm_kernel.h"
#include "gmm_iter.h"
namespace gmm {
/* ******************************************************************** */
/* BiConjugate Gradient Stabilized */
/* (preconditionned, with parametrable scalar product) */
/* ******************************************************************** */
template <typename Matrix, typename Vector, typename VectorB,
typename Preconditioner>
void bicgstab(const Matrix& A, Vector& x, const VectorB& b,
const Preconditioner& M, iteration &iter) {
typedef typename linalg_traits<Vector>::value_type T;
typedef typename number_traits<T>::magnitude_type R;
typedef typename temporary_dense_vector<Vector>::vector_type temp_vector;
T rho_1, rho_2(0), alpha(0), beta, omega(0);
temp_vector p(vect_size(x)), phat(vect_size(x)), s(vect_size(x)),
shat(vect_size(x)),
t(vect_size(x)), v(vect_size(x)), r(vect_size(x)), rtilde(vect_size(x));
gmm::mult(A, gmm::scaled(x, -T(1)), b, r);
gmm::copy(r, rtilde);
R norm_r = gmm::vect_norm2(r);
iter.set_rhsnorm(gmm::vect_norm2(b));
if (iter.get_rhsnorm() == 0.0) { clear(x); return; }
while (!iter.finished(norm_r)) {
rho_1 = gmm::vect_sp(rtilde, r);
if (rho_1 == T(0)) {
if (iter.get_maxiter() == size_type(-1))
{ GMM_ASSERT1(false, "Bicgstab failed to converge"); }
else { GMM_WARNING1("Bicgstab failed to converge"); return; }
}
if (iter.first())
gmm::copy(r, p);
else {
if (omega == T(0)) {
if (iter.get_maxiter() == size_type(-1))
{ GMM_ASSERT1(false, "Bicgstab failed to converge"); }
else { GMM_WARNING1("Bicgstab failed to converge"); return; }
}
beta = (rho_1 / rho_2) * (alpha / omega);
gmm::add(gmm::scaled(v, -omega), p);
gmm::add(r, gmm::scaled(p, beta), p);
}
gmm::mult(M, p, phat);
gmm::mult(A, phat, v);
alpha = rho_1 / gmm::vect_sp(v, rtilde);
gmm::add(r, gmm::scaled(v, -alpha), s);
if (iter.finished_vect(s))
{ gmm::add(gmm::scaled(phat, alpha), x); break; }
gmm::mult(M, s, shat);
gmm::mult(A, shat, t);
omega = gmm::vect_sp(t, s) / gmm::vect_norm2_sqr(t);
gmm::add(gmm::scaled(phat, alpha), x);
gmm::add(gmm::scaled(shat, omega), x);
gmm::add(s, gmm::scaled(t, -omega), r);
norm_r = gmm::vect_norm2(r);
rho_2 = rho_1;
++iter;
}
}
template <typename Matrix, typename Vector, typename VectorB,
typename Preconditioner>
void bicgstab(const Matrix& A, const Vector& x, const VectorB& b,
const Preconditioner& M, iteration &iter)
{ bicgstab(A, linalg_const_cast(x), b, M, iter); }
}
#endif // GMM_SOLVER_BICGSTAB_H__
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