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      1 //=====================================================
      2 // Copyright (C) 2008 Gael Guennebaud <gael.guennebaud (at) inria.fr>
      3 //=====================================================
      4 //
      5 // This program is free software; you can redistribute it and/or
      6 // modify it under the terms of the GNU General Public License
      7 // as published by the Free Software Foundation; either version 2
      8 // of the License, or (at your option) any later version.
      9 //
     10 // This program is distributed in the hope that it will be useful,
     11 // but WITHOUT ANY WARRANTY; without even the implied warranty of
     12 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
     13 // GNU General Public License for more details.
     14 // You should have received a copy of the GNU General Public License
     15 // along with this program; if not, write to the Free Software
     16 // Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
     17 //
     18 #ifndef MTL4_INTERFACE_HH
     19 #define MTL4_INTERFACE_HH
     20 
     21 #include <boost/numeric/mtl/mtl.hpp>
     22 #include <boost/numeric/mtl/utility/range_generator.hpp>
     23 // #include <boost/numeric/mtl/operation/cholesky.hpp>
     24 #include <vector>
     25 
     26 using namespace mtl;
     27 
     28 template<class real>
     29 class mtl4_interface {
     30 
     31 public :
     32 
     33   typedef real real_type ;
     34 
     35   typedef std::vector<real>  stl_vector;
     36   typedef std::vector<stl_vector > stl_matrix;
     37 
     38   typedef mtl::dense2D<real, mtl::matrix::parameters<mtl::tag::col_major> > gene_matrix;
     39   typedef mtl::dense_vector<real>  gene_vector;
     40 
     41   static inline std::string name() { return "mtl4"; }
     42 
     43   static void free_matrix(gene_matrix & A, int N){
     44     return ;
     45   }
     46 
     47   static void free_vector(gene_vector & B){
     48     return ;
     49   }
     50 
     51   static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
     52     A.change_dim(A_stl[0].size(), A_stl.size());
     53 
     54     for (int j=0; j<A_stl.size() ; j++){
     55       for (int i=0; i<A_stl[j].size() ; i++){
     56         A(i,j) = A_stl[j][i];
     57       }
     58     }
     59   }
     60 
     61   static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
     62     B.change_dim(B_stl.size());
     63     for (int i=0; i<B_stl.size() ; i++){
     64       B[i] = B_stl[i];
     65     }
     66   }
     67 
     68   static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
     69     for (int i=0; i<B_stl.size() ; i++){
     70       B_stl[i] = B[i];
     71     }
     72   }
     73 
     74   static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
     75     int N=A_stl.size();
     76     for (int j=0;j<N;j++){
     77       A_stl[j].resize(N);
     78       for (int i=0;i<N;i++){
     79         A_stl[j][i] = A(i,j);
     80       }
     81     }
     82   }
     83 
     84   static inline void matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){
     85     X = (A*B);
     86 //     morton_dense<double, doppled_64_row_mask> C(N,N);
     87 //     C = B;
     88 //     X = (A*C);
     89   }
     90 
     91   static inline void transposed_matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){
     92     X = (trans(A)*trans(B));
     93   }
     94 
     95 //   static inline void ata_product(const gene_matrix & A, gene_matrix & X, int N){
     96 //     X = (trans(A)*A);
     97 //   }
     98 
     99   static inline void aat_product(const gene_matrix & A, gene_matrix & X, int N){
    100     X = (A*trans(A));
    101   }
    102 
    103   static inline void matrix_vector_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
    104     X = (A*B);
    105   }
    106 
    107   static inline void atv_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
    108     X = (trans(A)*B);
    109   }
    110 
    111   static inline void axpy(const real coef, const gene_vector & X, gene_vector & Y, int N){
    112     Y += coef * X;
    113   }
    114 
    115   static inline void axpby(real a, const gene_vector & X, real b, gene_vector & Y, int N){
    116     Y = a*X + b*Y;
    117   }
    118 
    119 //   static inline void cholesky(const gene_matrix & X, gene_matrix & C, int N){
    120 //     C = X;
    121 //     recursive_cholesky(C);
    122 //   }
    123 
    124 //   static inline void lu_decomp(const gene_matrix & X, gene_matrix & R, int N){
    125 //     R = X;
    126 //     std::vector<int> ipvt(N);
    127 //     lu_factor(R, ipvt);
    128 //   }
    129 
    130   static inline void trisolve_lower(const gene_matrix & L, const gene_vector& B, gene_vector & X, int N){
    131     X = lower_trisolve(L, B);
    132   }
    133 
    134   static inline void copy_matrix(const gene_matrix & source, gene_matrix & cible, int N){
    135     cible = source;
    136   }
    137 
    138   static inline void copy_vector(const gene_vector & source, gene_vector & cible, int N){
    139     cible = source;
    140   }
    141 
    142 };
    143 
    144 #endif
    145