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							132 lines
						
					
					
						
							5.1 KiB
						
					
					
				
								/* -*- c++ -*- (enables emacs c++ mode) */
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								/*===========================================================================
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								 Copyright (C) 2003-2012 Yves Renard
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								 This file is a part of GETFEM++
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								 Getfem++  is  free software;  you  can  redistribute  it  and/or modify it
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								 under  the  terms  of the  GNU  Lesser General Public License as published
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								 by  the  Free Software Foundation;  either version 3 of the License,  or
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								 (at your option) any later version along with the GCC Runtime Library
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								 Exception either version 3.1 or (at your option) any later version.
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								 This program  is  distributed  in  the  hope  that it will be useful,  but
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								 WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
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								 or  FITNESS  FOR  A PARTICULAR PURPOSE.  See the GNU Lesser General Public
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								 License and GCC Runtime Library Exception for more details.
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								 You  should  have received a copy of the GNU Lesser General Public License
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								 along  with  this program;  if not, write to the Free Software Foundation,
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								 Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301, USA.
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								 As a special exception, you  may use  this file  as it is a part of a free
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								 software  library  without  restriction.  Specifically,  if   other  files
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								 instantiate  templates  or  use macros or inline functions from this file,
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								 or  you compile this  file  and  link  it  with other files  to produce an
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								 executable, this file  does  not  by itself cause the resulting executable
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								 to be covered  by the GNU Lesser General Public License.  This   exception
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								 does not  however  invalidate  any  other  reasons why the executable file
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								 might be covered by the GNU Lesser General Public License.
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								===========================================================================*/
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								/**@file gmm_precond_diagonal.h
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								   @author  Yves Renard <Yves.Renard@insa-lyon.fr>
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								   @date June 5, 2003.
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								   @brief Diagonal matrix preconditoner.
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								*/
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								#ifndef GMM_PRECOND_DIAGONAL_H
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								#define GMM_PRECOND_DIAGONAL_H
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								#include "gmm_precond.h"
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								namespace gmm {
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								  /** Diagonal preconditioner. */
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								  template<typename Matrix> struct diagonal_precond {
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								    typedef typename linalg_traits<Matrix>::value_type value_type;
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								    typedef typename number_traits<value_type>::magnitude_type magnitude_type;
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								    std::vector<magnitude_type> diag;
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								    void build_with(const Matrix &M) {
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								      diag.resize(mat_nrows(M));
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								      for (size_type i = 0; i < mat_nrows(M); ++i) {
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									magnitude_type x = gmm::abs(M(i, i));
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									if (x == magnitude_type(0)) {
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									  x = magnitude_type(1);
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									  GMM_WARNING2("The matrix has a zero on its diagonal");
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									}
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									diag[i] = magnitude_type(1) / x;
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								      }
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								    }
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								    size_type memsize() const { return sizeof(*this) + diag.size() * sizeof(value_type); }
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								    diagonal_precond(const Matrix &M) { build_with(M); }
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								    diagonal_precond(void) {}
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								  };
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								  template <typename Matrix, typename V2> inline
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								  void mult_diag_p(const diagonal_precond<Matrix>& P, V2 &v2, abstract_sparse){
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								    typename linalg_traits<V2>::iterator it = vect_begin(v2),
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								      ite = vect_end(v2);
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								    for (; it != ite; ++it) *it *= P.diag[it.index()];
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								  }
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								  template <typename Matrix, typename V2> inline
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								  void mult_diag_p(const diagonal_precond<Matrix>& P,V2 &v2, abstract_skyline)
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								    { mult_diag_p(P, v2, abstract_sparse()); }
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								  template <typename Matrix, typename V2> inline
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								  void mult_diag_p(const diagonal_precond<Matrix>& P, V2 &v2, abstract_dense){
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								    for (size_type i = 0; i < P.diag.size(); ++i) v2[i] *= P.diag[i];
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								  }
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								  template <typename Matrix, typename V1, typename V2> inline
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								  void mult(const diagonal_precond<Matrix>& P, const V1 &v1, V2 &v2) {
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								    GMM_ASSERT2(P.diag.size() == vect_size(v2),"dimensions mismatch");
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								    copy(v1, v2);
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								    mult_diag_p(P, v2, typename linalg_traits<V2>::storage_type());
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								  }
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								  template <typename Matrix, typename V1, typename V2> inline
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								  void transposed_mult(const diagonal_precond<Matrix>& P,const V1 &v1,V2 &v2) {
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								    mult(P, v1, v2);
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								  }
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								  // # define DIAG_LEFT_MULT_SQRT
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								  template <typename Matrix, typename V1, typename V2> inline
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								  void left_mult(const diagonal_precond<Matrix>& P, const V1 &v1, V2 &v2) {
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								    GMM_ASSERT2(P.diag.size() == vect_size(v2), "dimensions mismatch");
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								    copy(v1, v2);
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								#   ifdef DIAG_LEFT_MULT_SQRT
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								    for (size_type i= 0; i < P.diag.size(); ++i) v2[i] *= gmm::sqrt(P.diag[i]);
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								#   else
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								    for (size_type i= 0; i < P.diag.size(); ++i) v2[i] *= P.diag[i];
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								#   endif
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								  }
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								  template <typename Matrix, typename V1, typename V2> inline
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								  void transposed_left_mult(const diagonal_precond<Matrix>& P,
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											    const V1 &v1, V2 &v2)
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								    { left_mult(P, v1, v2); }
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								  template <typename Matrix, typename V1, typename V2> inline
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								  void right_mult(const diagonal_precond<Matrix>& P, const V1 &v1, V2 &v2) {
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								    typedef typename linalg_traits<Matrix>::value_type T;
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								    GMM_ASSERT2(P.diag.size() == vect_size(v2), "dimensions mismatch");
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								    copy(v1, v2);
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								#   ifdef DIAG_LEFT_MULT_SQRT    
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								    for (size_type i= 0; i < P.diag.size(); ++i) v2[i] *= gmm::sqrt(P.diag[i]);
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								#   endif
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								  }
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								  template <typename Matrix, typename V1, typename V2> inline
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								  void transposed_right_mult(const diagonal_precond<Matrix>& P,
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											    const V1 &v1, V2 &v2)
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								    { right_mult(P, v1, v2); }
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								}
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								#endif 
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