1//=====================================================
2// File   :  ublas_interface.hh
3// Author :  L. Plagne <laurent.plagne@edf.fr)>
4// Copyright (C) EDF R&D,  lun sep 30 14:23:27 CEST 2002
5//=====================================================
6//
7// This program is free software; you can redistribute it and/or
8// modify it under the terms of the GNU General Public License
9// as published by the Free Software Foundation; either version 2
10// of the License, or (at your option) any later version.
11//
12// This program is distributed in the hope that it will be useful,
13// but WITHOUT ANY WARRANTY; without even the implied warranty of
14// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15// GNU General Public License for more details.
16// You should have received a copy of the GNU General Public License
17// along with this program; if not, write to the Free Software
18// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
19//
20#ifndef UBLAS_INTERFACE_HH
21#define UBLAS_INTERFACE_HH
22
23#include <boost/numeric/ublas/vector.hpp>
24#include <boost/numeric/ublas/matrix.hpp>
25#include <boost/numeric/ublas/io.hpp>
26#include <boost/numeric/ublas/triangular.hpp>
27
28using namespace boost::numeric;
29
30template <class real>
31class ublas_interface{
32
33public :
34
35  typedef real real_type ;
36
37  typedef std::vector<real> stl_vector;
38  typedef std::vector<stl_vector> stl_matrix;
39
40  typedef typename boost::numeric::ublas::matrix<real,boost::numeric::ublas::column_major> gene_matrix;
41  typedef typename boost::numeric::ublas::vector<real> gene_vector;
42
43  static inline std::string name( void ) { return "ublas"; }
44
45  static void free_matrix(gene_matrix & A, int N) {}
46
47  static void free_vector(gene_vector & B) {}
48
49  static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
50    A.resize(A_stl.size(),A_stl[0].size());
51    for (int j=0; j<A_stl.size() ; j++)
52      for (int i=0; i<A_stl[j].size() ; i++)
53        A(i,j)=A_stl[j][i];
54  }
55
56  static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
57    B.resize(B_stl.size());
58    for (int i=0; i<B_stl.size() ; i++)
59      B(i)=B_stl[i];
60  }
61
62  static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
63    for (int i=0; i<B_stl.size() ; i++)
64      B_stl[i]=B(i);
65  }
66
67  static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
68    int N=A_stl.size();
69    for (int j=0;j<N;j++)
70    {
71      A_stl[j].resize(N);
72      for (int i=0;i<N;i++)
73        A_stl[j][i]=A(i,j);
74    }
75  }
76
77  static inline void copy_vector(const gene_vector & source, gene_vector & cible, int N){
78    for (int i=0;i<N;i++){
79      cible(i) = source(i);
80    }
81  }
82
83  static inline void copy_matrix(const gene_matrix & source, gene_matrix & cible, int N){
84    for (int i=0;i<N;i++){
85      for (int j=0;j<N;j++){
86        cible(i,j) = source(i,j);
87      }
88    }
89  }
90
91  static inline void matrix_vector_product_slow(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
92    X =  prod(A,B);
93  }
94
95  static inline void matrix_matrix_product_slow(gene_matrix & A, gene_matrix & B, gene_matrix & X, int N){
96    X =  prod(A,B);
97  }
98
99  static inline void axpy_slow(const real coef, const gene_vector & X, gene_vector & Y, int N){
100    Y+=coef*X;
101  }
102
103  // alias free assignements
104
105  static inline void matrix_vector_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
106    X.assign(prod(A,B));
107  }
108
109  static inline void atv_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
110    X.assign(prod(trans(A),B));
111  }
112
113  static inline void matrix_matrix_product(gene_matrix & A, gene_matrix & B, gene_matrix & X, int N){
114    X.assign(prod(A,B));
115  }
116
117  static inline void axpy(const real coef, const gene_vector & X, gene_vector & Y, int N){
118    Y.plus_assign(coef*X);
119  }
120
121  static inline void axpby(real a, const gene_vector & X, real b, gene_vector & Y, int N){
122    Y = a*X + b*Y;
123  }
124
125  static inline void ata_product(gene_matrix & A, gene_matrix & X, int N){
126    // X =  prod(trans(A),A);
127    X.assign(prod(trans(A),A));
128  }
129
130  static inline void aat_product(gene_matrix & A, gene_matrix & X, int N){
131    // X =  prod(A,trans(A));
132    X.assign(prod(A,trans(A)));
133  }
134
135  static inline void trisolve_lower(const gene_matrix & L, const gene_vector& B, gene_vector & X, int N){
136    X = solve(L, B, ublas::lower_tag ());
137  }
138
139};
140
141#endif
142