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//=====================================================
// 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 MTL4_INTERFACE_HH
#define MTL4_INTERFACE_HH
#include <boost/numeric/mtl/mtl.hpp>
#include <boost/numeric/mtl/utility/range_generator.hpp>
// #include <boost/numeric/mtl/operation/cholesky.hpp>
#include <vector>
using namespace mtl;
template <class real>
class mtl4_interface {
public:
typedef real real_type;
typedef std::vector<real> stl_vector;
typedef std::vector<stl_vector> stl_matrix;
typedef mtl::dense2D<real, mtl::matrix::parameters<mtl::tag::col_major> > gene_matrix;
typedef mtl::dense_vector<real> gene_vector;
static inline std::string name() { return "mtl4"; }
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.change_dim(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.change_dim(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 matrix_matrix_product(const gene_matrix& A, const gene_matrix& B, gene_matrix& X, int N) {
X = (A * B);
// morton_dense<double, doppled_64_row_mask> C(N,N);
// C = B;
// X = (A*C);
}
static inline void transposed_matrix_matrix_product(const gene_matrix& A, const gene_matrix& B, gene_matrix& X,
int N) {
X = (trans(A) * trans(B));
}
// static inline void ata_product(const gene_matrix & A, gene_matrix & X, int N){
// X = (trans(A)*A);
// }
static inline void aat_product(const gene_matrix& A, gene_matrix& X, int N) { X = (A * trans(A)); }
static inline void matrix_vector_product(gene_matrix& A, gene_vector& B, gene_vector& X, int N) { X = (A * B); }
static inline void atv_product(gene_matrix& A, gene_vector& B, gene_vector& X, int N) { X = (trans(A) * B); }
static inline void axpy(const real coef, const gene_vector& X, gene_vector& Y, int N) { Y += 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 cholesky(const gene_matrix & X, gene_matrix & C, int N){
// C = X;
// recursive_cholesky(C);
// }
// static inline void lu_decomp(const gene_matrix & X, gene_matrix & R, int N){
// R = X;
// std::vector<int> ipvt(N);
// lu_factor(R, ipvt);
// }
static inline void trisolve_lower(const gene_matrix& L, const gene_vector& B, gene_vector& X, int N) {
X = lower_trisolve(L, B);
}
static inline void copy_matrix(const gene_matrix& source, gene_matrix& cible, int N) { cible = source; }
static inline void copy_vector(const gene_vector& source, gene_vector& cible, int N) { cible = source; }
};
#endif