You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 

63 lines
2.1 KiB

/*===========================================================================
Copyright (C) 2007-2015 Yves Renard, Julien Pommier.
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.
===========================================================================*/
// SQUARED_MATRIX_PARAM;
// VECTOR_PARAM;
// ENDPARAM;
#include "gmm/gmm_kernel.h"
using std::endl; using std::cout; using std::cerr;
using std::ends; using std::cin;
using gmm::size_type;
bool print_debug = false;
template <typename MAT1, typename VECT1>
bool test_procedure(const MAT1 &m1_, const VECT1 &v1_) {
VECT1 &v1 = const_cast<VECT1 &>(v1_);
MAT1 &m1 = const_cast<MAT1 &>(m1_);
typedef typename gmm::linalg_traits<MAT1>::value_type T;
typedef typename gmm::number_traits<T>::magnitude_type R;
R prec = gmm::default_tol(R());
size_type m = gmm::mat_nrows(m1);
R norm = gmm::vect_norm2_sqr(v1);
R normtest(0);
for (size_type i = 0; i < m; ++i) {
T x(1), y = v1[i];;
x *= v1[i];
x += v1[i];
x += v1[i];
x -= v1[i];
x -= y;
x *= v1[i];
x /= v1[i];
GMM_ASSERT1(y == v1[i], "Error in basic operations");
normtest += gmm::abs_sqr(x);
}
GMM_ASSERT1(gmm::abs(norm - normtest) <= prec * R(100),
"Error in basic operations");
return true;
}