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sparse_matrix_aij.hh
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			/**
			* @file sparse_matrix_aij.hh
			*
			* @author Nicolas Richart <nicolas.richart@epfl.ch>
			*
			* @date Mon Aug 17 21:22:57 2015
			*
			* @brief AIJ implementation of the SparseMatrix (this the format used by Mumps)
			*
			* @section LICENSE
			*
			* Copyright (©) 2010-2011 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.hh"
			/* -------------------------------------------------------------------------- */

			#ifndef __AKANTU_SPARSE_MATRIX_AIJ_HH__
			#define __AKANTU_SPARSE_MATRIX_AIJ_HH__

			/* -------------------------------------------------------------------------- */
			#ifndef __INTEL_COMPILER
			namespace std {
			namespace tr1 {
			/// hashing function for pairs
			template <typename a, typename b> class hash<std::pair<a, b>> {
			public:
			hash() : ah(), bh() {}
			size_t operator()(const std::pair<a, b> & p) const {
			size_t seed = ah(p.first);
			return bh(p.second) + 0x9e3779b9 + (seed << 6) + (seed >> 2);
			}

			private:
			const hash<a> ah;
			const hash<b> bh;
			};
			}
			} // namespaces
			#endif

			__BEGIN_AKANTU__

			class SparseMatrixAIJ : public SparseMatrix {
			/* ------------------------------------------------------------------------ */
			/* Constructors/Destructors */
			/* ------------------------------------------------------------------------ */
			public:
			SparseMatrixAIJ(DOFManager & dof_manager, const MatrixType & matrix_type,
			const ID & id = "sparse_matrix",
			const MemoryID & memory_id = 0);

			SparseMatrixAIJ(const SparseMatrix & matrix, const ID & id = "sparse_matrix",
			const MemoryID & memory_id = 0);

			virtual ~SparseMatrixAIJ();

			/* ------------------------------------------------------------------------ */
			/* Methods */
			/* ------------------------------------------------------------------------ */
			public:
			/// remove the existing profile
			inline void clearProfile();

			/// add a non-zero element
			virtual UInt addToProfile(UInt i, UInt j);

			/// set the matrix to 0
			virtual void clear();

			/// assemble a local matrix in the sparse one
			inline void addToMatrix(UInt i, UInt j, Real value);

			/// set the size of the matrix
			void resize(UInt size) { this->size = size; }

			/// modify the matrix to "remove" the blocked dof
			virtual void applyBoundary(const Array<bool> & boundary, Real block_val = 1.);

			/// save the profil in a file using the MatrixMarket file format
			virtual void saveProfile(const std::string & filename) const;

			/// save the matrix in a file using the MatrixMarket file format
			virtual void saveMatrix(const std::string & filename) const;

			/// copy assuming the profile are the same
			virtual void copyContent(const SparseMatrix & matrix);

			/// add matrix assuming the profile are the same
			virtual void add(const SparseMatrix & matrix, Real alpha);

			/* ------------------------------------------------------------------------ */
			/// accessor to A_{ij} - if (i, j) not present it returns 0
			inline Real operator()(UInt i, UInt j) const;

			/// accessor to A_{ij} - if (i, j) not present it fails, (i, j) should be
			/// first added to the profile
			inline Real & operator()(UInt i, UInt j);

			/* ------------------------------------------------------------------------ */
			/* Accessors */
			/* ------------------------------------------------------------------------ */
			public:
			AKANTU_GET_MACRO(IRN, irn, const Array<Int> &);

			AKANTU_GET_MACRO(JCN, jcn, const Array<Int> &);

			AKANTU_GET_MACRO(A, a, const Array<Real> &);

			protected:
			typedef std::pair<UInt, UInt> KeyCOO;
			typedef unordered_map<KeyCOO, UInt>::type coordinate_list_map;

			/// get the pair corresponding to (i, j)
			inline KeyCOO key(UInt i, UInt j) const {
			if (this->matrix_type == _symmetric && (i > j)) return std::make_pair(j, i);
			return std::make_pair(i, j);
			}

			/* ------------------------------------------------------------------------ */
			/* Class Members */
			/* ------------------------------------------------------------------------ */
			private:
			/// row indexes
			Array<Int> irn;

			/// column indexes
			Array<Int> jcn;

			/// values : A[k] = Matrix[irn[k]][jcn[k]]
			Array<Real> a;

			/*
			* map for (i, j) -> k correspondence
			*/
			coordinate_list_map irn_jcn_k;
			};

			__END_AKANTU__

			/* -------------------------------------------------------------------------- */
			/* inline functions */
			/* -------------------------------------------------------------------------- */
			#include "sparse_matrix_aij_inline_impl.cc"

			#endif /* __AKANTU_SPARSE_MATRIX_AIJ_HH__ */

rAKA/src/solver/sparse_matrix_aij.hh97be65b1e826features/cohesive_frict…

sparse_matrix_aij.hhView Options

rAKA/src/solver/sparse_matrix_aij.hh
97be65b1e826features/cohesive_frict…

sparse_matrix_aij.hh
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