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rAKA/src/solver/solver_petsc.cc
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solver_petsc.cc
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/**
* @file solver_petsc.cc
*
* @author Alejandro M. Aragón <alejandro.aragon@epfl.ch>
* @author Aurelia Isabel Cuba Ramos <aurelia.cubaramos@epfl.ch>
* @author Nicolas Richart <nicolas.richart@epfl.ch>
*
* @date creation: Tue May 13 2014
* @date last modification: Sun Aug 13 2017
*
* @brief Solver class implementation for the petsc solver
*
*
* Copyright (©) 2014-2018 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 "solver_petsc.hh"
#include "dof_manager_petsc.hh"
#include "mpi_communicator_data.hh"
#include "solver_vector_petsc.hh"
#include "sparse_matrix_petsc.hh"
/* -------------------------------------------------------------------------- */
#include <petscksp.h>
//#include <petscsys.h>
/* -------------------------------------------------------------------------- */
namespace akantu {
/* -------------------------------------------------------------------------- */
SolverPETSc::SolverPETSc(DOFManagerPETSc & dof_manager, const ID & matrix_id,
const ID & id)
: SparseSolver(dof_manager, matrix_id, id),
dof_manager(dof_manager), matrix(dof_manager.getMatrix(matrix_id)) {
auto && mpi_comm = dof_manager.getMPIComm();
/// create a solver context
PETSc_call(KSPCreate, mpi_comm, &this->ksp);
}
/* -------------------------------------------------------------------------- */
SolverPETSc::~SolverPETSc() {
if (ksp != nullptr) {
PETSc_call(KSPDestroy, &ksp);
}
}
/* -------------------------------------------------------------------------- */
void SolverPETSc::setOperators() {
// set the matrix that defines the linear system and the matrix for
// preconditioning (here they are the same)
#if PETSC_VERSION_MAJOR >= 3 && PETSC_VERSION_MINOR >= 5
PETSc_call(KSPSetOperators, ksp, this->matrix.getMat(),
this->matrix.getMat());
#else
PETSc_call(KSPSetOperators, ksp, this->matrix.getMat(), this->matrix.getMat(),
SAME_NONZERO_PATTERN);
#endif
// If this is not called the solution vector is zeroed in the call to
// KSPSolve().
PETSc_call(KSPSetInitialGuessNonzero, ksp, PETSC_TRUE);
PETSc_call(KSPSetFromOptions, ksp);
AKANTU_DEBUG_OUT();
}
/* -------------------------------------------------------------------------- */
void SolverPETSc::solve() {
Vec & rhs(this->dof_manager.getResidual());
Vec & solution(this->dof_manager.getSolution());
PETSc_call(KSPSolve, ksp, rhs, solution);
}
} // namespace akantu
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