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rAKA/src/solver/sparse_matrix.cc
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sparse_matrix.cc
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/**
* @file sparse_matrix.cc
*
* @author Nicolas Richart <nicolas.richart@epfl.ch>
*
* @date creation: Mon Dec 13 2010
* @date last modification: Mon Sep 15 2014
*
* @brief implementation of the SparseMatrix class
*
* @section LICENSE
*
* Copyright (©) 2010-2012, 2014 EPFL (Ecole Polytechnique Fédérale de Lausanne)
* Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
*
* Akantu 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.
*
* Akantu 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 for more
* details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with Akantu. If not, see <http://www.gnu.org/licenses/>.
*
*/
/* -------------------------------------------------------------------------- */
#include <fstream>
/* -------------------------------------------------------------------------- */
#include "sparse_matrix.hh"
#include "static_communicator.hh"
#include "dof_manager.hh"
/* -------------------------------------------------------------------------- */
__BEGIN_AKANTU__
/* -------------------------------------------------------------------------- */
SparseMatrix::SparseMatrix(DOFManager & dof_manager,
const MatrixType & matrix_type,
const ID & id,
const MemoryID & memory_id) :
Memory(id, memory_id),
dof_manager(dof_manager),
matrix_type(matrix_type),
size(dof_manager.getSystemSize()),
nb_non_zero(0) {
AKANTU_DEBUG_IN();
StaticCommunicator & comm = StaticCommunicator::getStaticCommunicator();
this->nb_proc = comm.getNbProc();
AKANTU_DEBUG_OUT();
}
/* -------------------------------------------------------------------------- */
SparseMatrix::SparseMatrix(const SparseMatrix & matrix,
const ID & id,
const MemoryID & memory_id) :
Memory(id, memory_id),
dof_manager(matrix.dof_manager),
matrix_type(matrix.matrix_type),
size(matrix.size),
nb_proc(matrix.nb_proc),
nb_non_zero(matrix.nb_non_zero) {
AKANTU_DEBUG_IN();
AKANTU_DEBUG_OUT();
}
/* -------------------------------------------------------------------------- */
SparseMatrix::~SparseMatrix() {
AKANTU_DEBUG_IN();
AKANTU_DEBUG_OUT();
}
/* -------------------------------------------------------------------------- */
__END_AKANTU__
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