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rAKA/src/solver/sparse_matrix.hh
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sparse_matrix.hh
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/**
* @file sparse_matrix.hh
*
* @author Nicolas Richart <nicolas.richart@epfl.ch>
*
* @date creation: Mon Dec 13 2010
* @date last modification: Wed Sep 16 2020
*
* @brief sparse matrix storage class (distributed assembled matrix)
* This is a COO format (Coordinate List)
*
*
* @section LICENSE
*
* Copyright (©) 2010-2021 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_common.hh"
/* -------------------------------------------------------------------------- */
#ifndef AKANTU_SPARSE_MATRIX_HH_
#define AKANTU_SPARSE_MATRIX_HH_
/* -------------------------------------------------------------------------- */
namespace akantu {
class DOFManager;
class TermsToAssemble;
class SolverVector;
} // namespace akantu
namespace akantu {
class SparseMatrix {
/* ------------------------------------------------------------------------ */
/* Constructors/Destructors */
/* ------------------------------------------------------------------------ */
public:
SparseMatrix(DOFManager & dof_manager, const MatrixType & matrix_type,
const ID & id = "sparse_matrix");
SparseMatrix(const SparseMatrix & matrix, const ID & id = "sparse_matrix");
virtual ~SparseMatrix();
/* ------------------------------------------------------------------------ */
/* Methods */
/* ------------------------------------------------------------------------ */
public:
/// remove the existing profile
virtual void clearProfile();
/// set the matrix to 0
virtual void set(Real val) = 0;
virtual void zero() { this->set(0); }
/// add a non-zero element to the profile
virtual UInt add(UInt i, UInt j) = 0;
/// assemble a local matrix in the sparse one
virtual void add(UInt i, UInt j, Real value) = 0;
/// save the profil in a file using the MatrixMarket file format
virtual void saveProfile(const std::string & /* filename */) const {
AKANTU_TO_IMPLEMENT();
}
/// save the matrix in a file using the MatrixMarket file format
virtual void saveMatrix(const std::string & /* filename */) const {
AKANTU_TO_IMPLEMENT();
};
/// multiply the matrix by a coefficient
virtual void mul(Real alpha) = 0;
/// add matrices
virtual void add(const SparseMatrix & B, Real alpha = 1.);
/// Equivalent of *gemv in blas
virtual void matVecMul(const SolverVector & x, SolverVector & y,
Real alpha = 1., Real beta = 0.) const = 0;
/// modify the matrix to "remove" the blocked dof
virtual void applyBoundary(Real block_val = 1.) = 0;
/// copy the profile of another matrix
virtual void copyProfile(const SparseMatrix & other) = 0;
/// operator *=
SparseMatrix & operator*=(Real alpha) {
this->mul(alpha);
return *this;
}
/// Check if all entries are finite. The default implementation throws.
virtual bool isFinite() const { AKANTU_TO_IMPLEMENT(); }
protected:
/// This is the revert of add \f[B += \alpha * *this\f];
virtual void addMeTo(SparseMatrix & B, Real alpha) const = 0;
/* ------------------------------------------------------------------------ */
/* Accessors */
/* ------------------------------------------------------------------------ */
public:
/// return the values at potition i, j
virtual inline Real operator()(UInt /*i*/, UInt /*j*/) const {
AKANTU_TO_IMPLEMENT();
}
/// return the values at potition i, j
virtual inline Real & operator()(UInt /*i*/, UInt /*j*/) {
AKANTU_TO_IMPLEMENT();
}
/// return the minimum value
virtual inline Real min() { AKANTU_TO_IMPLEMENT(); }
AKANTU_GET_MACRO(NbNonZero, nb_non_zero, UInt);
UInt size() const { return size_; }
AKANTU_GET_MACRO(MatrixType, matrix_type, const MatrixType &);
virtual UInt getRelease() const = 0;
/* ------------------------------------------------------------------------ */
/* Class Members */
/* ------------------------------------------------------------------------ */
protected:
ID id;
/// Underlying dof manager
DOFManager & _dof_manager;
/// sparce matrix type
MatrixType matrix_type;
/// Size of the matrix
UInt size_;
/// number of processors
UInt nb_proc;
/// number of non zero element
UInt nb_non_zero;
};
// Array<Real> & operator*=(Array<Real> & vect, const SparseMatrix & mat);
} // namespace akantu
/* -------------------------------------------------------------------------- */
/* inline functions */
/* -------------------------------------------------------------------------- */
#include "sparse_matrix_inline_impl.hh"
#endif /* AKANTU_SPARSE_MATRIX_HH_ */
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