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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 creation: Mon Dec 13 2010
			* @date last modification: Wed Nov 08 2017
			*
			* @brief AIJ implementation of the SparseMatrix (this the format used by
			* Mumps)
			*
			*
			* 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 "aka_array.hh"
			#include "aka_common.hh"
			#include "sparse_matrix.hh"
			/* -------------------------------------------------------------------------- */
			#include <unordered_map>
			/* -------------------------------------------------------------------------- */

			#ifndef AKANTU_SPARSE_MATRIX_AIJ_HH_
			#define AKANTU_SPARSE_MATRIX_AIJ_HH_

			namespace akantu {
			class DOFManagerDefault;
			class TermsToAssemble;
			} // namespace akantu

			namespace akantu {

			class SparseMatrixAIJ : public SparseMatrix {
			/* ------------------------------------------------------------------------ */
			/* Constructors/Destructors */
			/* ------------------------------------------------------------------------ */
			public:
			SparseMatrixAIJ(DOFManagerDefault & dof_manager,
			const MatrixType & matrix_type,
			const ID & id = "sparse_matrix_aij");

			SparseMatrixAIJ(const SparseMatrixAIJ & matrix,
			const ID & id = "sparse_matrix_aij");

			~SparseMatrixAIJ() override;

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

			/// add a non-zero element
			inline UInt add(UInt i, UInt j) override;

			/// set the matrix to 0
			void set(Real val) override;

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

			/// add a block of values
			inline void addValues(const Vector<Int> & is, const Vector<Int> & js,
			const Matrix<Real> & values, MatrixType values_type);

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

			/// modify the matrix to "remove" the blocked dof
			void applyBoundary(Real block_val = 1.) override;

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

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

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

			/// multiply the matrix by a scalar
			void mul(Real alpha) override;

			/// Equivalent of *gemv in blas
			void matVecMul(const SolverVector & x, SolverVector & y, Real alpha = 1.,
			Real beta = 0.) const override;

			void matVecMul(const Array<Real> & x, Array<Real> & y, Real alpha = 1.,
			Real beta = 0.) const;

			/// copy the profile of another matrix
			void copyProfile(const SparseMatrix & other) override;

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

			/// 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) override;

			protected:
			void addMeTo(SparseMatrix & B, Real alpha) const override;

			inline void addSymmetricValuesToSymmetric(const Vector<Int> & is,
			const Vector<Int> & js,
			const Matrix<Real> & values);
			inline void addUnsymmetricValuesToSymmetric(const Vector<Int> & is,
			const Vector<Int> & js,
			const Matrix<Real> & values);
			inline void addValuesToUnsymmetric(const Vector<Int> & is,
			const Vector<Int> & js,
			const Matrix<Real> & values);

			private:
			/// This is just to inline the addToMatrix function
			template <class MatrixType>
			void addMeToTemplated(MatrixType & B, Real alpha) const;

			/* ------------------------------------------------------------------------ */
			/* 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> &);

			/// The release changes at each call of a function that changes the profile,
			/// it in increasing but could overflow so it should be checked as
			/// (my_release != release) and not as (my_release < release)
			AKANTU_GET_MACRO(ProfileRelease, profile_release, UInt);
			AKANTU_GET_MACRO(ValueRelease, value_release, UInt);
			UInt getRelease() const override { return value_release; }

			protected:
			using KeyCOO = std::pair<UInt, UInt>;
			using coordinate_list_map = std::unordered_map<KeyCOO, UInt>;

			/// 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:
			DOFManagerDefault & dof_manager;

			/// row indexes
			Array<Int> irn;

			/// column indexes
			Array<Int> jcn;

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

			/// Profile release
			UInt profile_release{1};

			/// Value release
			UInt value_release{1};

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

			} // namespace akantu

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

			#endif /* AKANTU_SPARSE_MATRIX_AIJ_HH_ */

rAKA/src/solver/sparse_matrix_aij.hh5acfa6ca970dfeatures/22-problem-in…

sparse_matrix_aij.hhView Options

rAKA/src/solver/sparse_matrix_aij.hh
5acfa6ca970dfeatures/22-problem-in…

sparse_matrix_aij.hh
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