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