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sparse_matrix.cc
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Sat, Aug 24, 16:14
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rAKA akantu
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
*=
(
Array
<
Real
>
&
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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