/usr/include/dolfin/la/TpetraMatrix.h is in libdolfin-dev 2016.2.0-2.
This file is owned by root:root, with mode 0o644.
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//
// This file is part of DOLFIN.
//
// DOLFIN 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.
//
// DOLFIN 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 DOLFIN. If not, see <http://www.gnu.org/licenses/>.
//
// First added: 2014
#ifndef __TPETRA_MATRIX_H
#define __TPETRA_MATRIX_H
#ifdef HAS_TRILINOS
#include <array>
#include <cstdint>
#include <memory>
#include <string>
#include <utility>
#include <Teuchos_GlobalMPISession.hpp>
#include <Teuchos_oblackholestream.hpp>
#include <Tpetra_CrsMatrix.hpp>
#include <Tpetra_DefaultPlatform.hpp>
#include <Tpetra_Vector.hpp>
#include <Tpetra_Version.hpp>
#include <dolfin/common/types.h>
#include "GenericMatrix.h"
namespace dolfin
{
class GenericLinearAlgebraFactory;
class IndexMap;
class TensorLayout;
class TpetraVector;
/// This class provides a simple matrix class based on Tpetra. It
/// is a wrapper for a Tpetra matrix pointer
/// (Teuchos::RCP<matrix_type>) implementing the GenericMatrix
/// interface.
///
/// The interface is intentionally simple. For advanced usage,
/// access the Tpetra::RCP<matrix_type> pointer using the function
/// mat() and use the standard Tpetra interface.
class TpetraMatrix : public GenericMatrix
{
public:
// Tpetra typedefs with default values
typedef Tpetra::CrsMatrix<double, int, dolfin::la_index> matrix_type;
typedef Tpetra::CrsGraph<int, dolfin::la_index> graph_type;
typedef Tpetra::Map<int, dolfin::la_index> map_type;
/// Create empty matrix
TpetraMatrix();
/// Create a wrapper around a Teuchos::RCP<matrix_type> pointer
explicit TpetraMatrix(Teuchos::RCP<matrix_type> A);
/// Copy constructor
TpetraMatrix(const TpetraMatrix& A);
/// Destructor
virtual ~TpetraMatrix();
//--- Implementation of the GenericTensor interface ---
/// Initialize zero tensor using tensor layout
void init(const TensorLayout& tensor_layout);
/// Return true if empty
bool empty() const;
/// Return size of given dimension
std::size_t size(std::size_t dim) const;
/// Return local ownership range
std::pair<std::int64_t, std::int64_t> local_range(std::size_t dim) const;
// Number of non-zero entries
std::size_t nnz() const;
/// Set all entries to zero and keep any sparse structure
virtual void zero();
/// Finalize assembly of tensor. The mode parameter is ignored.
virtual void apply(std::string mode);
/// Return MPI communicator
MPI_Comm mpi_comm() const;
/// Return informal string representation (pretty-print)
virtual std::string str(bool verbose) const;
//--- Implementation of the GenericMatrix interface --
/// Return copy of matrix
virtual std::shared_ptr<GenericMatrix> copy() const;
/// Initialize vector z to be compatible with the matrix-vector
/// product y = Ax. In the parallel case, both size and layout are
/// important.
///
/// *Arguments*
/// dim (std::size_t)
/// The dimension (axis): dim = 0 --> z = y, dim = 1 --> z = x
virtual void init_vector(GenericVector& z, std::size_t dim) const;
/// Get block of values
virtual void get(double* block,
std::size_t m, const dolfin::la_index* rows,
std::size_t n, const dolfin::la_index* cols) const;
/// Set block of values using global indices
virtual void set(const double* block,
std::size_t m, const dolfin::la_index* rows,
std::size_t n, const dolfin::la_index* cols);
/// Set block of values using local indices
virtual void set_local(const double* block,
std::size_t m, const dolfin::la_index* rows,
std::size_t n, const dolfin::la_index* cols);
/// Add block of values using global indices
virtual void add(const double* block,
std::size_t m, const dolfin::la_index* rows,
std::size_t n, const dolfin::la_index* cols);
/// Add block of values using local indices
virtual void add_local(const double* block,
std::size_t m, const dolfin::la_index* rows,
std::size_t n, const dolfin::la_index* cols);
/// Add multiple of given matrix (AXPY operation)
virtual void axpy(double a, const GenericMatrix& A,
bool same_nonzero_pattern);
/// Get non-zero values of given row
virtual void getrow(std::size_t row,
std::vector<std::size_t>& columns,
std::vector<double>& values) const;
/// Set values for given row
virtual void setrow(std::size_t row,
const std::vector<std::size_t>& columns,
const std::vector<double>& values);
/// Set given rows (global row indices) to zero
virtual void zero(std::size_t m, const dolfin::la_index* rows);
/// Set given rows (local row indices) to zero
virtual void zero_local(std::size_t m, const dolfin::la_index* rows);
/// Set given rows (global row indices) to identity matrix
virtual void ident(std::size_t m, const dolfin::la_index* rows);
/// Set given rows (local row indices) to identity matrix
virtual void ident_local(std::size_t m, const dolfin::la_index* rows);
// Matrix-vector product, y = Ax
virtual void mult(const GenericVector& x, GenericVector& y) const;
// Matrix-vector product, y = A^T x
virtual void transpmult(const GenericVector& x, GenericVector& y) const;
/// Get diagonal of a matrix
virtual void get_diagonal(GenericVector& x) const;
/// Set diagonal of a matrix
virtual void set_diagonal(const GenericVector& x);
/// Multiply matrix by given number
virtual const TpetraMatrix& operator*= (double a);
/// Divide matrix by given number
virtual const TpetraMatrix& operator/= (double a);
/// Assignment operator
virtual const GenericMatrix& operator= (const GenericMatrix& A);
/// Test if matrix is symmetric
virtual bool is_symmetric(double tol) const;
//--- Special functions ---
/// Return linear algebra backend factory
virtual GenericLinearAlgebraFactory& factory() const;
//--- Special TpetraFunctions ---
/// Return norm of matrix
double norm(std::string norm_type) const;
/// Assignment operator
const TpetraMatrix& operator= (const TpetraMatrix& A);
Teuchos::RCP<matrix_type> mat()
{ return _matA; }
Teuchos::RCP<const matrix_type> mat() const
{ return _matA; }
static void graphdump(const Teuchos::RCP<const graph_type> graph);
private:
// The matrix
Teuchos::RCP<matrix_type> _matA;
// Row and Column maps to allow local indexing of off-process
// entries needed in add_local() and set_local()
std::array<std::shared_ptr<const IndexMap>, 2> index_map;
};
}
#endif
#endif
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