| //===================================================== |
| // 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> |
| #include <boost/numeric/ublas/triangular.hpp> |
| |
| using namespace boost::numeric; |
| |
| 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 j = 0; j < A_stl.size(); j++) |
| for (int i = 0; i < A_stl[j].size(); i++) A(i, j) = A_stl[j][i]; |
| } |
| |
| 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 j = 0; j < N; j++) { |
| A_stl[j].resize(N); |
| for (int i = 0; i < N; i++) A_stl[j][i] = 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 assignments |
| |
| 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 axpby(real a, const gene_vector& X, real b, gene_vector& Y, int N) { Y = a * X + b * Y; } |
| |
| 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))); |
| } |
| |
| static inline void trisolve_lower(const gene_matrix& L, const gene_vector& B, gene_vector& X, int N) { |
| X = solve(L, B, ublas::lower_tag()); |
| } |
| }; |
| |
| #endif |