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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: Wed Nov 08 2017
*
* @brief implementation of the SparseMatrix class
*
* @section LICENSE
*
* Copyright (©) 2010-2018 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 "communicator.hh"
#include "dof_manager.hh"
#include "sparse_matrix.hh"
/* -------------------------------------------------------------------------- */
namespace akantu {
/* -------------------------------------------------------------------------- */
SparseMatrix::SparseMatrix(DOFManager & dof_manager,
const MatrixType & matrix_type, const ID & id)
: id(id), _dof_manager(dof_manager), matrix_type(matrix_type),
size_(dof_manager.getSystemSize()), nb_non_zero(0) {
AKANTU_DEBUG_IN();
const auto & comm = _dof_manager.getCommunicator();
this->nb_proc = comm.getNbProc();
AKANTU_DEBUG_OUT();
}
/* -------------------------------------------------------------------------- */
SparseMatrix::SparseMatrix(const SparseMatrix & matrix, const ID & id)
: SparseMatrix(matrix._dof_manager, matrix.matrix_type, id) {
nb_non_zero = matrix.nb_non_zero;
}
/* -------------------------------------------------------------------------- */
SparseMatrix::~SparseMatrix() = default;
// /* -------------------------------------------------------------------------- */
// Array<Real> & operator*=(SolverVector & vect, const SparseMatrix & mat) {
// Array<Real> tmp(vect.size(), vect.getNbComponent(), 0.);
// mat.matVecMul(vect, tmp);
// vect.copy(tmp);
// return vect;
// }
/* -------------------------------------------------------------------------- */
void SparseMatrix::add(const SparseMatrix & B, Real alpha) {
B.addMeTo(*this, alpha);
}
/* -------------------------------------------------------------------------- */
} // akantu
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