/usr/include/dune/pdelab/backend/istl/bcrsmatrix.hh is in libdune-pdelab-dev 2.5.0~20170124g7cf9f47a-1.
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#ifndef DUNE_PDELAB_BACKEND_ISTL_BCRSMATRIX_HH
#define DUNE_PDELAB_BACKEND_ISTL_BCRSMATRIX_HH
// this is here for backwards compatibility and deprecation warnings, remove after 2.5.0
#include "ensureistlinclude.hh"
#include <dune/common/typetraits.hh>
#include <dune/pdelab/backend/common/tags.hh>
#include <dune/pdelab/backend/common/uncachedmatrixview.hh>
#include <dune/pdelab/backend/istl/matrixhelpers.hh>
#include <dune/pdelab/backend/istl/descriptors.hh>
namespace Dune {
namespace PDELab {
namespace ISTL {
template<typename GFSV, typename GFSU, typename C, typename Stats>
class BCRSMatrix
: public Backend::impl::Wrapper<C>
{
friend Backend::impl::Wrapper<C>;
public:
typedef typename C::field_type ElementType;
typedef ElementType E;
typedef C Container;
typedef typename C::field_type field_type;
typedef typename C::block_type block_type;
typedef typename C::size_type size_type;
typedef GFSU TrialGridFunctionSpace;
typedef GFSV TestGridFunctionSpace;
typedef typename GFSV::Ordering::Traits::ContainerIndex RowIndex;
typedef typename GFSU::Ordering::Traits::ContainerIndex ColIndex;
typedef typename ISTL::build_pattern_type<C,GFSV,GFSU,typename GFSV::Ordering::ContainerAllocationTag>::type Pattern;
typedef Stats PatternStatistics;
#ifndef DOXYGEN
// some trickery to avoid exposing average users to the fact that there might
// be multiple statistics objects
typedef typename std::conditional<
(C::blocklevel > 2),
std::vector<PatternStatistics>,
PatternStatistics
>::type StatisticsReturnType;
#endif // DOXYGEN
template<typename RowCache, typename ColCache>
using LocalView = UncachedMatrixView<BCRSMatrix,RowCache,ColCache>;
template<typename RowCache, typename ColCache>
using ConstLocalView = ConstUncachedMatrixView<const BCRSMatrix,RowCache,ColCache>;
template<typename GO>
explicit BCRSMatrix (const GO& go)
: _container(std::make_shared<Container>())
{
_stats = go.matrixBackend().buildPattern(go,*this);
}
/** \brief Construct matrix container using an externally given matrix as storage
*
* \tparam GO GridOperator type used to assemble into the matrix
*
* \param go GridOperator object used to assemble into the matrix
* \param container ISTL matrix type that stores the actual data
*
* This BCRSMatrix constructor will reassemble the matrix occupation pattern.
*/
template<typename GO>
BCRSMatrix (const GO& go, Container& container)
: _container(Dune::stackobject_to_shared_ptr(container))
{
_stats = go.matrixBackend().buildPattern(go,*this);
}
template<typename GO>
BCRSMatrix (const GO& go, const E& e)
: _container(std::make_shared<Container>())
{
_stats = go.matrixBackend().buildPattern(go,*this);
(*_container) = e;
}
//! Creates an BCRSMatrix without allocating an underlying ISTL matrix.
explicit BCRSMatrix (Backend::unattached_container = Backend::unattached_container())
{}
//! Creates an BCRSMatrix with an empty underlying ISTL matrix.
explicit BCRSMatrix (Backend::attached_container)
: _container(std::make_shared<Container>())
{}
BCRSMatrix(const BCRSMatrix& rhs)
: _container(std::make_shared<Container>(*(rhs._container)))
{}
BCRSMatrix& operator=(const BCRSMatrix& rhs)
{
if (this == &rhs)
return *this;
_stats.clear();
if (attached())
{
(*_container) = (*(rhs._container));
}
else
{
_container = std::make_shared<Container>(*(rhs._container));
}
return *this;
}
//! Returns pattern statistics for all contained BCRSMatrix objects.
const StatisticsReturnType& patternStatistics() const
{
return patternStatistics(std::integral_constant<bool,(C::blocklevel > 2)>());
}
#ifndef DOXYGEN
private:
const PatternStatistics& patternStatistics(std::false_type multiple) const
{
if (_stats.empty())
DUNE_THROW(InvalidStateException,"no pattern statistics available");
return _stats[0];
}
const std::vector<PatternStatistics>& patternStatistics(std::true_type multiple) const
{
if (_stats.empty())
DUNE_THROW(InvalidStateException,"no pattern statistics available");
return _stats;
}
public:
#endif
void detach()
{
_container.reset();
_stats.clear();
}
void attach(std::shared_ptr<Container> container)
{
_container = container;
}
bool attached() const
{
return bool(_container);
}
const std::shared_ptr<Container>& storage() const
{
return _container;
}
size_type N() const
{
return _container->N();
}
size_type M() const
{
return _container->M();
}
BCRSMatrix& operator= (const E& e)
{
(*_container) = e;
return *this;
}
BCRSMatrix& operator*= (const E& e)
{
(*_container) *= e;
return *this;
}
E& operator()(const RowIndex& ri, const ColIndex& ci)
{
return ISTL::access_matrix_element(ISTL::container_tag(*_container),*_container,ri,ci,ri.size()-1,ci.size()-1);
}
const E& operator()(const RowIndex& ri, const ColIndex& ci) const
{
return ISTL::access_matrix_element(ISTL::container_tag(*_container),*_container,ri,ci,ri.size()-1,ci.size()-1);
}
private:
const Container& native() const
{
return *_container;
}
Container& native()
{
return *_container;
}
public:
void flush()
{}
void finalize()
{}
void clear_row(const RowIndex& ri, const E& diagonal_entry)
{
ISTL::clear_matrix_row(ISTL::container_tag(*_container),*_container,ri,ri.size()-1);
ISTL::write_matrix_element_if_exists(diagonal_entry,ISTL::container_tag(*_container),*_container,ri,ri,ri.size()-1,ri.size()-1);
}
private:
std::shared_ptr<Container> _container;
std::vector<PatternStatistics> _stats;
};
} // namespace ISTL
} // namespace PDELab
} // namespace Dune
#endif // DUNE_PDELAB_BACKEND_ISTL_BCRSMATRIX_HH
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