| //===================================================== | |
| // Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr> | |
| //===================================================== | |
| // | |
| // 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 GMM_INTERFACE_HH | |
| #define GMM_INTERFACE_HH | |
| #include <gmm/gmm.h> | |
| #include <vector> | |
| using namespace gmm; | |
| template <class real> | |
| class gmm_interface { | |
| public: | |
| typedef real real_type; | |
| typedef std::vector<real> stl_vector; | |
| typedef std::vector<stl_vector> stl_matrix; | |
| typedef gmm::dense_matrix<real> gene_matrix; | |
| typedef stl_vector gene_vector; | |
| static inline std::string name(void) { return "gmm"; } | |
| static void free_matrix(gene_matrix& A, int N) { return; } | |
| static void free_vector(gene_vector& B) { return; } | |
| static inline void matrix_from_stl(gene_matrix& A, stl_matrix& A_stl) { | |
| A.resize(A_stl[0].size(), A_stl.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 = B_stl; } | |
| static inline void vector_to_stl(gene_vector& B, stl_vector& B_stl) { B_stl = B; } | |
| 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 matrix_matrix_product(const gene_matrix& A, const gene_matrix& B, gene_matrix& X, int N) { | |
| gmm::mult(A, B, X); | |
| } | |
| static inline void transposed_matrix_matrix_product(const gene_matrix& A, const gene_matrix& B, gene_matrix& X, | |
| int N) { | |
| gmm::mult(gmm::transposed(A), gmm::transposed(B), X); | |
| } | |
| static inline void ata_product(const gene_matrix& A, gene_matrix& X, int N) { gmm::mult(gmm::transposed(A), A, X); } | |
| static inline void aat_product(const gene_matrix& A, gene_matrix& X, int N) { gmm::mult(A, gmm::transposed(A), X); } | |
| static inline void matrix_vector_product(gene_matrix& A, gene_vector& B, gene_vector& X, int N) { | |
| gmm::mult(A, B, X); | |
| } | |
| static inline void atv_product(gene_matrix& A, gene_vector& B, gene_vector& X, int N) { | |
| gmm::mult(gmm::transposed(A), B, X); | |
| } | |
| static inline void axpy(const real coef, const gene_vector& X, gene_vector& Y, int N) { | |
| gmm::add(gmm::scaled(X, coef), Y); | |
| } | |
| static inline void axpby(real a, const gene_vector& X, real b, gene_vector& Y, int N) { | |
| gmm::add(gmm::scaled(X, a), gmm::scaled(Y, b), Y); | |
| } | |
| static inline void copy_matrix(const gene_matrix& source, gene_matrix& cible, int N) { gmm::copy(source, cible); } | |
| static inline void copy_vector(const gene_vector& source, gene_vector& cible, int N) { gmm::copy(source, cible); } | |
| static inline void trisolve_lower(const gene_matrix& L, const gene_vector& B, gene_vector& X, int N) { | |
| gmm::copy(B, X); | |
| gmm::lower_tri_solve(L, X, false); | |
| } | |
| static inline void partial_lu_decomp(const gene_matrix& X, gene_matrix& R, int N) { | |
| gmm::copy(X, R); | |
| std::vector<int> ipvt(N); | |
| gmm::lu_factor(R, ipvt); | |
| } | |
| static inline void hessenberg(const gene_matrix& X, gene_matrix& R, int N) { | |
| gmm::copy(X, R); | |
| gmm::Hessenberg_reduction(R, X, false); | |
| } | |
| static inline void tridiagonalization(const gene_matrix& X, gene_matrix& R, int N) { | |
| gmm::copy(X, R); | |
| gmm::Householder_tridiagonalization(R, X, false); | |
| } | |
| }; | |
| #endif |