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rAKA/src/solver/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 "aka_array.hh"
#include "aka_common.hh"
#include "sparse_matrix.hh"
/* -------------------------------------------------------------------------- */
#ifndef __AKANTU_SPARSE_MATRIX_AIJ_HH__
#define __AKANTU_SPARSE_MATRIX_AIJ_HH__
namespace akantu {
class DOFManagerDefault;
class TermsToAssemble;
}
__BEGIN_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");
virtual ~SparseMatrixAIJ();
/* ------------------------------------------------------------------------ */
/* Methods */
/* ------------------------------------------------------------------------ */
public:
/// remove the existing profile
inline void clearProfile();
/// add a non-zero element
virtual inline UInt addToProfile(UInt i, UInt j);
/// set the matrix to 0
virtual void clear();
/// assemble a local matrix in the sparse one
virtual 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(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);
/// multiply the matrix by a scalar
void mul(Real alpha);
/// add matrix *this += B
// virtual void add(const SparseMatrix & matrix, Real alpha);
/// Equivalent of *gemv in blas
virtual void matVecMul(const Array<Real> & x, Array<Real> & y,
Real alpha = 1., Real beta = 0.) const;
/* ------------------------------------------------------------------------ */
/// 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);
protected:
/// This is the revert of add B += \alpha * *this;
virtual void addMeTo(SparseMatrix & B, Real alpha) const;
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);
virtual UInt getRelease() const { return value_release; }
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:
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;
/// Value release
UInt value_release;
/*
* 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__ */
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