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diff --git a/bench/btl/libs/ublas/ublas_interface.hh b/bench/btl/libs/ublas/ublas_interface.hh
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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>
+
+
+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 i=0; i<A_stl.size() ; i++)
+      for (int j=0; j<A_stl[i].size() ; j++)
+        A(i,j)=A_stl[i][j];
+  }
+
+  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 i=0;i<N;i++)
+    {
+      A_stl[i].resize(N);
+      for (int j=0;j<N;j++)
+        A_stl[i][j]=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 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)));
+  }
+
+};
+
+#endif