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sparse_matrix_aij_inline_impl.cc
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sparse_matrix_aij_inline_impl.cc
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/**
* @file sparse_matrix_aij_inline_impl.cc
*
* @author Nicolas Richart <nicolas.richart@epfl.ch>
*
* @date creation: Fri Aug 21 2015
* @date last modification: Wed Nov 08 2017
*
* @brief Implementation of inline functions of SparseMatrixAIJ
*
* @section LICENSE
*
* Copyright (©) 2015-2018 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 "sparse_matrix_aij.hh"
/* -------------------------------------------------------------------------- */
#ifndef __AKANTU_SPARSE_MATRIX_AIJ_INLINE_IMPL_CC__
#define __AKANTU_SPARSE_MATRIX_AIJ_INLINE_IMPL_CC__
namespace akantu {
inline UInt SparseMatrixAIJ::add(UInt i, UInt j) {
KeyCOO jcn_irn = this->key(i, j);
auto it = this->irn_jcn_k.find(jcn_irn);
if (!(it == this->irn_jcn_k.end()))
return it->second;
if (i + 1 > this->size_)
this->size_ = i + 1;
if (j + 1 > this->size_)
this->size_ = j + 1;
this->irn.push_back(i + 1);
this->jcn.push_back(j + 1);
this->a.push_back(0.);
this->irn_jcn_k[jcn_irn] = this->nb_non_zero;
(this->nb_non_zero)++;
this->profile_release++;
this->value_release++;
return (this->nb_non_zero - 1);
}
/* -------------------------------------------------------------------------- */
inline void SparseMatrixAIJ::clearProfile() {
SparseMatrix::clearProfile();
this->irn_jcn_k.clear();
this->irn.resize(0);
this->jcn.resize(0);
this->a.resize(0);
this->size_ = 0;
this->profile_release++;
this->value_release++;
}
/* -------------------------------------------------------------------------- */
inline void SparseMatrixAIJ::add(UInt i, UInt j, Real value) {
UInt idx = this->add(i, j);
this->a(idx) += value;
this->value_release++;
}
/* -------------------------------------------------------------------------- */
inline Real SparseMatrixAIJ::operator()(UInt i, UInt j) const {
KeyCOO jcn_irn = this->key(i, j);
auto irn_jcn_k_it = this->irn_jcn_k.find(jcn_irn);
if (irn_jcn_k_it == this->irn_jcn_k.end())
return 0.;
return this->a(irn_jcn_k_it->second);
}
/* -------------------------------------------------------------------------- */
inline Real & SparseMatrixAIJ::operator()(UInt i, UInt j) {
KeyCOO jcn_irn = this->key(i, j);
auto irn_jcn_k_it = this->irn_jcn_k.find(jcn_irn);
AKANTU_DEBUG_ASSERT(irn_jcn_k_it != this->irn_jcn_k.end(),
"Couple (i,j) = (" << i << "," << j
<< ") does not exist in the profile");
// it may change the profile so it is considered as a change
this->value_release++;
return this->a(irn_jcn_k_it->second);
}
} // namespace akantu
#endif /* __AKANTU_SPARSE_MATRIX_AIJ_INLINE_IMPL_CC__ */

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