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							141 lines
						
					
					
						
							4.2 KiB
						
					
					
				
								//=====================================================
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								// File   :  ublas_interface.hh
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								// Author :  L. Plagne <laurent.plagne@edf.fr)>
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								// Copyright (C) EDF R&D,  lun sep 30 14:23:27 CEST 2002
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								//=====================================================
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								//
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								// This program is free software; you can redistribute it and/or
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								// modify it under the terms of the GNU General Public License
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								// as published by the Free Software Foundation; either version 2
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								// of the License, or (at your option) any later version.
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								//
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								// This program is distributed in the hope that it will be useful,
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								// but WITHOUT ANY WARRANTY; without even the implied warranty of
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								// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
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								// GNU General Public License for more details.
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								// You should have received a copy of the GNU General Public License
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								// along with this program; if not, write to the Free Software
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								// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
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								//
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								#ifndef UBLAS_INTERFACE_HH
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								#define UBLAS_INTERFACE_HH
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								#include <boost/numeric/ublas/vector.hpp>
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								#include <boost/numeric/ublas/matrix.hpp>
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								#include <boost/numeric/ublas/io.hpp>
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								#include <boost/numeric/ublas/triangular.hpp>
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								using namespace boost::numeric;
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								template <class real>
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								class ublas_interface{
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								public :
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								  typedef real real_type ;
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								  typedef std::vector<real> stl_vector;
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								  typedef std::vector<stl_vector> stl_matrix;
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								  typedef typename boost::numeric::ublas::matrix<real,boost::numeric::ublas::column_major> gene_matrix;
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								  typedef typename boost::numeric::ublas::vector<real> gene_vector;
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								  static inline std::string name( void ) { return "ublas"; }
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								  static void free_matrix(gene_matrix & A, int N) {}
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								  static void free_vector(gene_vector & B) {}
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								  static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
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								    A.resize(A_stl.size(),A_stl[0].size());
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								    for (int j=0; j<A_stl.size() ; j++)
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								      for (int i=0; i<A_stl[j].size() ; i++)
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								        A(i,j)=A_stl[j][i];
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								  }
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								  static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
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								    B.resize(B_stl.size());
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								    for (int i=0; i<B_stl.size() ; i++)
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								      B(i)=B_stl[i];
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								  }
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								  static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
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								    for (int i=0; i<B_stl.size() ; i++)
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								      B_stl[i]=B(i);
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								  }
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								  static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
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								    int N=A_stl.size();
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								    for (int j=0;j<N;j++)
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								    {
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								      A_stl[j].resize(N);
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								      for (int i=0;i<N;i++)
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								        A_stl[j][i]=A(i,j);
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								    }
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								  }
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								  static inline void copy_vector(const gene_vector & source, gene_vector & cible, int N){
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								    for (int i=0;i<N;i++){
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								      cible(i) = source(i);
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								    }
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								  }
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								  static inline void copy_matrix(const gene_matrix & source, gene_matrix & cible, int N){
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								    for (int i=0;i<N;i++){
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								      for (int j=0;j<N;j++){
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								        cible(i,j) = source(i,j);
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								      }
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								    }
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								  }
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								  static inline void matrix_vector_product_slow(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
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								    X =  prod(A,B);
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								  }
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								  static inline void matrix_matrix_product_slow(gene_matrix & A, gene_matrix & B, gene_matrix & X, int N){
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								    X =  prod(A,B);
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								  }
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								  static inline void axpy_slow(const real coef, const gene_vector & X, gene_vector & Y, int N){
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								    Y+=coef*X;
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								  }
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								  // alias free assignements
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								  static inline void matrix_vector_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
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								    X.assign(prod(A,B));
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								  }
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								  static inline void atv_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
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								    X.assign(prod(trans(A),B));
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								  }
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								  static inline void matrix_matrix_product(gene_matrix & A, gene_matrix & B, gene_matrix & X, int N){
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								    X.assign(prod(A,B));
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								  }
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								  static inline void axpy(const real coef, const gene_vector & X, gene_vector & Y, int N){
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								    Y.plus_assign(coef*X);
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								  }
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								  static inline void axpby(real a, const gene_vector & X, real b, gene_vector & Y, int N){
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								    Y = a*X + b*Y;
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								  }
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								  static inline void ata_product(gene_matrix & A, gene_matrix & X, int N){
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								    // X =  prod(trans(A),A);
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								    X.assign(prod(trans(A),A));
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								  }
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								  static inline void aat_product(gene_matrix & A, gene_matrix & X, int N){
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								    // X =  prod(A,trans(A));
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								    X.assign(prod(A,trans(A)));
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								  }
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								  static inline void trisolve_lower(const gene_matrix & L, const gene_vector& B, gene_vector & X, int N){
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								    X = solve(L, B, ublas::lower_tag ());
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								  }
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								};
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								#endif
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