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 
28 using namespace boost::numeric;
29 
30 template <class real>
31 class ublas_interface{
32 
33 public :
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 
name(void)43   static inline std::string name( void ) { return "ublas"; }
44 
free_matrix(gene_matrix & A,int N)45   static void free_matrix(gene_matrix & A, int N) {}
46 
free_vector(gene_vector & B)47   static void free_vector(gene_vector & B) {}
48 
matrix_from_stl(gene_matrix & A,stl_matrix & A_stl)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 
vector_from_stl(gene_vector & B,stl_vector & B_stl)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 
vector_to_stl(gene_vector & B,stl_vector & B_stl)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 
matrix_to_stl(gene_matrix & A,stl_matrix & A_stl)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 
copy_vector(const gene_vector & source,gene_vector & cible,int N)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 
copy_matrix(const gene_matrix & source,gene_matrix & cible,int N)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 
matrix_vector_product_slow(gene_matrix & A,gene_vector & B,gene_vector & X,int N)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 
matrix_matrix_product_slow(gene_matrix & A,gene_matrix & B,gene_matrix & X,int N)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 
axpy_slow(const real coef,const gene_vector & X,gene_vector & Y,int N)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 
matrix_vector_product(gene_matrix & A,gene_vector & B,gene_vector & X,int N)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 
atv_product(gene_matrix & A,gene_vector & B,gene_vector & X,int N)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 
matrix_matrix_product(gene_matrix & A,gene_matrix & B,gene_matrix & X,int N)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 
axpy(const real coef,const gene_vector & X,gene_vector & Y,int N)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 
axpby(real a,const gene_vector & X,real b,gene_vector & Y,int N)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 
ata_product(gene_matrix & A,gene_matrix & X,int N)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 
aat_product(gene_matrix & A,gene_matrix & X,int N)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 
trisolve_lower(const gene_matrix & L,const gene_vector & B,gene_vector & X,int N)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