mtl4_interface.hh revision c981c48f5bc9aefeffc0bcb0cc3934c2fae179dd 
1//=====================================================
2// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@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
26using namespace mtl;
27
28template<class real>
29class mtl4_interface {
30
31public :
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