metaforce/gmm/gmm_solver_cg.h

181 lines
7.0 KiB
C++

/* -*- c++ -*- (enables emacs c++ mode) */
/*===========================================================================
Copyright (C) 2002-2017 Yves Renard
This file is a part of GetFEM++
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===========================================================================*/
// This file is a modified version of cg.h from ITL.
// See http://osl.iu.edu/research/itl/
// Following the corresponding Copyright notice.
//===========================================================================
//
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/**@file gmm_solver_cg.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 Conjugate gradient iterative solver.
*/
#ifndef GMM_SOLVER_CG_H__
#define GMM_SOLVER_CG_H__
#include "gmm_kernel.h"
#include "gmm_iter.h"
namespace gmm {
/* ******************************************************************** */
/* conjugate gradient */
/* (preconditionned, with parametrable additional scalar product) */
/* ******************************************************************** */
template <typename Matrix, typename Matps, typename Precond,
typename Vector1, typename Vector2>
void cg(const Matrix& A, Vector1& x, const Vector2& b, const Matps& PS,
const Precond &P, iteration &iter) {
typedef typename temporary_dense_vector<Vector1>::vector_type temp_vector;
typedef typename linalg_traits<Vector1>::value_type T;
T rho, rho_1(0), a;
temp_vector p(vect_size(x)), q(vect_size(x)), r(vect_size(x)),
z(vect_size(x));
iter.set_rhsnorm(gmm::sqrt(gmm::abs(vect_hp(PS, b, b))));
if (iter.get_rhsnorm() == 0.0)
clear(x);
else {
mult(A, scaled(x, T(-1)), b, r);
mult(P, r, z);
rho = vect_hp(PS, z, r);
copy(z, p);
while (!iter.finished_vect(r)) {
if (!iter.first()) {
mult(P, r, z);
rho = vect_hp(PS, z, r);
add(z, scaled(p, rho / rho_1), p);
}
mult(A, p, q);
a = rho / vect_hp(PS, q, p);
add(scaled(p, a), x);
add(scaled(q, -a), r);
rho_1 = rho;
++iter;
}
}
}
template <typename Matrix, typename Matps, typename Precond,
typename Vector1, typename Vector2>
void cg(const Matrix& A, Vector1& x, const Vector2& b, const Matps& PS,
const gmm::identity_matrix &, iteration &iter) {
typedef typename temporary_dense_vector<Vector1>::vector_type temp_vector;
typedef typename linalg_traits<Vector1>::value_type T;
T rho, rho_1(0), a;
temp_vector p(vect_size(x)), q(vect_size(x)), r(vect_size(x));
iter.set_rhsnorm(gmm::sqrt(gmm::abs(vect_hp(PS, b, b))));
if (iter.get_rhsnorm() == 0.0)
clear(x);
else {
mult(A, scaled(x, T(-1)), b, r);
rho = vect_hp(PS, r, r);
copy(r, p);
while (!iter.finished_vect(r)) {
if (!iter.first()) {
rho = vect_hp(PS, r, r);
add(r, scaled(p, rho / rho_1), p);
}
mult(A, p, q);
a = rho / vect_hp(PS, q, p);
add(scaled(p, a), x);
add(scaled(q, -a), r);
rho_1 = rho;
++iter;
}
}
}
template <typename Matrix, typename Matps, typename Precond,
typename Vector1, typename Vector2> inline
void cg(const Matrix& A, const Vector1& x, const Vector2& b, const Matps& PS,
const Precond &P, iteration &iter)
{ cg(A, linalg_const_cast(x), b, PS, P, iter); }
template <typename Matrix, typename Precond,
typename Vector1, typename Vector2> inline
void cg(const Matrix& A, Vector1& x, const Vector2& b,
const Precond &P, iteration &iter)
{ cg(A, x , b, identity_matrix(), P, iter); }
template <typename Matrix, typename Precond,
typename Vector1, typename Vector2> inline
void cg(const Matrix& A, const Vector1& x, const Vector2& b,
const Precond &P, iteration &iter)
{ cg(A, x , b , identity_matrix(), P , iter); }
}
#endif // GMM_SOLVER_CG_H__