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sparse_solver_mumps.hh
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			/**
			* @file sparse_solver_mumps.hh
			*
			* @author Nicolas Richart <nicolas.richart@epfl.ch>
			*
			* @date creation: Fri Jun 18 2010
			* @date last modification: Tue Jan 19 2016
			*
			* @brief Solver class implementation for the mumps solver
			*
			* @section LICENSE
			*
			* Copyright (©) 2010-2012, 2014, 2015 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_solver.hh"
			/* -------------------------------------------------------------------------- */
			#include <dmumps_c.h>
			/* -------------------------------------------------------------------------- */

			#ifndef __AKANTU_SOLVER_MUMPS_HH__
			#define __AKANTU_SOLVER_MUMPS_HH__

			namespace akantu {
			class DOFManagerDefault;
			class SparseMatrixAIJ;
			}


			namespace akantu {

			class SparseSolverMumps : public SparseSolver {
			/* ------------------------------------------------------------------------ */
			/* Constructors/Destructors */
			/* ------------------------------------------------------------------------ */
			public:
			SparseSolverMumps(DOFManagerDefault & dof_manager,
			const ID & matrix_id,
			const ID & id = "sparse_solver_mumps",
			const MemoryID & memory_id = 0);

			virtual ~SparseSolverMumps();

			/* ------------------------------------------------------------------------ */
			/* Methods */
			/* ------------------------------------------------------------------------ */
			public:
			/// build the profile and do the analysis part
			virtual void initialize();

			/// analysis (symbolic facto + permutations)
			virtual void analysis();

			/// factorize the matrix
			virtual void factorize();

			/// solve the system
			virtual void solve(Array<Real> & x, const Array<Real> & b);

			/// solve using residual and solution from the dof_manager
			virtual void solve();

			private:
			/// print the error if any happened in mumps
			void printError();

			/// solve the system with master_rhs_solution as b and x
			void solveInternal();

			/// set internal values;
			void initMumpsData();

			/// set the level of verbosity of mumps based on the debug level of akantu
			void setOutputLevel();

			protected:
			/// de-initialize the internal data
			virtual void destroyInternalData();

			/// check if initialized and except if it is not the case
			void checkInitialized();

			/* ------------------------------------------------------------------------ */
			/* Accessors */
			/* ------------------------------------------------------------------------ */
			private:
			/// access the control variable
			inline Int & icntl(UInt i) { return mumps_data.icntl[i - 1]; }

			/// access the results info
			inline Int & info(UInt i) { return mumps_data.info[i - 1]; }

			/* ------------------------------------------------------------------------ */
			/* Class Members */
			/* ------------------------------------------------------------------------ */
			private:
			/// DOFManager used by the Mumps implementation of the SparseSolver
			DOFManagerDefault & dof_manager;

			/// Full right hand side on the master processors and solution after solve
			Array<Real> master_rhs_solution;

			/// mumps data
			DMUMPS_STRUC_C mumps_data;

			/// Rank of the current process
			UInt prank;

			/// matrix release at last solve
			UInt last_profile_release{UInt(-1)};

			/// matrix release at last solve
			UInt last_value_release{UInt(-1)};

			/// check if the solver data are initialized
			bool is_initialized{false};

			/* ------------------------------------------------------------------------ */
			/* Local types */
			/* ------------------------------------------------------------------------ */
			private:
			SolverParallelMethod parallel_method;

			// bool rhs_is_local;

			enum SolverMumpsJob {
			_smj_initialize = -1,
			_smj_analyze = 1,
			_smj_factorize = 2,
			_smj_solve = 3,
			_smj_analyze_factorize = 4,
			_smj_factorize_solve = 5,
			_smj_complete = 6, // analyze, factorize, solve
			_smj_destroy = -2
			};
			};

			} // akantu

			#endif /* __AKANTU_SOLVER_MUMPS_HH__ */

rAKA/src/solver/sparse_solver_mumps.hh846d4bf44130bugfixes/pypi-py311

sparse_solver_mumps.hhView Options

rAKA/src/solver/sparse_solver_mumps.hh
846d4bf44130bugfixes/pypi-py311

sparse_solver_mumps.hh
View Options