/* -*- c++ -*- (enables emacs c++ mode) */ /*=========================================================================== Copyright (C) 2003-2017 Yves Renard This file is a part of GetFEM++ GetFEM++ is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version along with the GCC Runtime Library Exception either version 3.1 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 Lesser General Public License and GCC Runtime Library Exception for more details. You should have received a copy of the GNU Lesser General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301, USA. As a special exception, you may use this file as it is a part of a free software library without restriction. Specifically, if other files instantiate templates or use macros or inline functions from this file, or you compile this file and link it with other files to produce an executable, this file does not by itself cause the resulting executable to be covered by the GNU Lesser General Public License. This exception does not however invalidate any other reasons why the executable file might be covered by the GNU Lesser General Public License. ===========================================================================*/ /** @file gmm_dense_sylvester.h @author Yves Renard @date June 5, 2003. @brief Sylvester equation solver. */ #ifndef GMM_DENSE_SYLVESTER_H #define GMM_DENSE_SYLVESTER_H #include "gmm_kernel.h" namespace gmm { /* ********************************************************************* */ /* Kronecker system matrix. */ /* ********************************************************************* */ template void kron(const MAT1 &m1, const MAT2 &m2, const MAT3 &m3_, bool init = true) { MAT3 &m3 = const_cast(m3_); size_type m = mat_nrows(m1), n = mat_ncols(m1); size_type l = mat_nrows(m2), k = mat_ncols(m2); GMM_ASSERT2(mat_nrows(m3) == m*l && mat_ncols(m3) == n*k, "dimensions mismatch"); for (size_type i = 0; i < m; ++i) for (size_type j = 0; j < m; ++j) if (init) gmm::copy(gmm::scaled(m2, m1(i,j)), gmm::sub_matrix(m3, sub_interval(l*i, l), sub_interval(k*j, k))); else gmm::add(gmm::scaled(m2, m1(i,j)), gmm::sub_matrix(m3, sub_interval(l*i, l), sub_interval(k*j, k))); } /* ********************************************************************* */ /* Copy a matrix into a vector. */ /* ********************************************************************* */ template colmatrix_to_vector(const MAT &A, VECT &v, col_major) { size_type m = mat_nrows(A), n = mat_ncols(A); GMM_ASSERT2(m*n == vect_size(v), "dimensions mismatch"); for (size_type i = 0; i < n; ++i) gmm::copy(mat_col(A, i), sub_vector(v, sub_interval(i*m, m))); } template colmatrix_to_vector(const MAT &A, VECT &v, row_and_col) { colmatrix_to_vector(A, v, col_major()); } template colmatrix_to_vector(const MAT &A, VECT &v, col_and_row) { colmatrix_to_vector(A, v, col_major()); } template colmatrix_to_vector(const MAT &A, VECT &v, row_major) { size_type m = mat_nrows(mat), n = mat_ncols(A); GMM_ASSERT2(m*n == vect_size(v), "dimensions mismatch"); for (size_type i = 0; i < m; ++i) gmm::copy(mat_row(A, i), sub_vector(v, sub_slice(i, n, m))); } template inline colmatrix_to_vector(const MAT &A, const VECT &v_) { VECT &v = const_cast(v_); colmatrix_to_vector(A, v, typename linalg_traits::sub_orientation()); } /* ********************************************************************* */ /* Copy a vector into a matrix. */ /* ********************************************************************* */ template vector_to_colmatrix(const VECT &v, MAT &A, col_major) { size_type m = mat_nrows(A), n = mat_ncols(A); GMM_ASSERT2(m*n == vect_size(v), "dimensions mismatch"); for (size_type i = 0; i < n; ++i) gmm::copy(sub_vector(v, sub_interval(i*m, m)), mat_col(A, i)); } template vector_to_colmatrix(const VECT &v, MAT &A, row_and_col) { vector_to_colmatrix(v, A, col_major()); } template vector_to_colmatrix(const VECT &v, MAT &A, col_and_row) { vector_to_colmatrix(v, A, col_major()); } template vector_to_colmatrix(const VECT &v, MAT &A, row_major) { size_type m = mat_nrows(mat), n = mat_ncols(A); GMM_ASSERT2(m*n == vect_size(v), "dimensions mismatch"); for (size_type i = 0; i < m; ++i) gmm::copy(sub_vector(v, sub_slice(i, n, m)), mat_row(A, i)); } template inline vector_to_colmatrix(const VECT &v, const MAT &A_) { MAT &A = const_cast(A_); vector_to_colmatrix(v, A, typename linalg_traits::sub_orientation()); } /* ********************************************************************* */ /* Solve sylvester equation. */ /* ********************************************************************* */ // very prohibitive solver, to be replaced ... template void sylvester(const MAT1 &m1, const MAT2 &m2, const MAT3 &m3, const MAT4 &m4_) { typedef typename linalg_traits::value_type T; MAT3 &m4 = const_cast(m4_); size_type m = mat_nrows(m1), n = mat_ncols(m1); size_type l = mat_nrows(m2), k = mat_ncols(m2); GMM_ASSERT2(m == n && l == k && m == mat_nrows(m3) && l == mat_ncols(m3) && m == mat_nrows(m4) && l == mat_ncols(m4), "dimensions mismatch"); gmm::dense_matrix akronb(m*l, m*l); gmm::dense_matrix idm(m, m), idl(l,l); gmm::copy(identity_matrix(), idm); gmm::copy(identity_matrix(), idl); std::vector x(m*l), c(m*l); kron(idl, m1, akronb); kron(gmm::transposed(m2), idm, akronb, false); colmatrix_to_vector(m3, c); lu_solve(akronb, c, x); vector_to_colmatrix(x, m4); } } #endif