/usr/include/trilinos/Stokhos_Sparse3TensorUtilities.hpp is in libtrilinos-stokhos-dev 12.4.2-2.
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#ifndef STOKHOS_SPARSE_3_TENSOR_UTILITIES_HPP
#define STOKHOS_SPARSE_3_TENSOR_UTILITIES_HPP
#include "Stokhos_Sparse3Tensor.hpp"
#include "Epetra_Comm.h"
#include "Epetra_CrsGraph.h"
#include "Epetra_BlockMap.h"
#include "Epetra_LocalMap.h"
#include "Epetra_CrsMatrix.h"
#include "EpetraExt_RowMatrixOut.h"
namespace Stokhos {
//! Build an Epetra_CrsGraph from a sparse 3 tensor
/*!
* Builds a sparse graph from a sparse 3 tensor by summing over the third
* index. This graph then represents the sparsity pattern of the stochastic
* part of the block stochastic Galerkin operator. Redistributing the graph
* should then provide a suitable parallel distribution for block
* stochastic Galerkin linear solves.
*/
template <typename ordinal_type, typename value_type>
Teuchos::RCP<Epetra_CrsGraph>
sparse3Tensor2CrsGraph(
const Stokhos::OrthogPolyBasis<ordinal_type,value_type>& basis,
const Stokhos::Sparse3Tensor<ordinal_type,value_type>& Cijk,
const Epetra_Comm& comm)
{
typedef Stokhos::Sparse3Tensor<ordinal_type,value_type> Cijk_type;
// Number of stochastic rows
ordinal_type num_rows = basis.size();
// Replicated local map
Epetra_LocalMap map(num_rows, 0, comm);
// Graph to be created
Teuchos::RCP<Epetra_CrsGraph> graph =
Teuchos::rcp(new Epetra_CrsGraph(Copy, map, 0));
// Loop over Cijk entries including a non-zero in the graph at
// indices (i,j) if there is any k for which Cijk is non-zero
for (typename Cijk_type::k_iterator k_it=Cijk.k_begin();
k_it!=Cijk.k_end(); ++k_it) {
for (typename Cijk_type::kj_iterator j_it = Cijk.j_begin(k_it);
j_it != Cijk.j_end(k_it); ++j_it) {
ordinal_type j = index(j_it);
for (typename Cijk_type::kji_iterator i_it = Cijk.i_begin(j_it);
i_it != Cijk.i_end(j_it); ++i_it) {
ordinal_type i = index(i_it);
graph->InsertGlobalIndices(i, 1, &j);
}
}
}
// Sort, remove redundencies, transform to local, ...
graph->FillComplete();
return graph;
}
//! Build an Epetra_CrsGraph from a sparse 3 tensor
/*!
* Builds a sparse graph from a sparse 3 tensor by summing over the third
* index. This graph then represents the sparsity pattern of the stochastic
* part of the block stochastic Galerkin operator. Redistributing the graph
* should then provide a suitable parallel distribution for block
* stochastic Galerkin linear solves.
*/
template <typename ordinal_type, typename value_type>
Teuchos::RCP<Epetra_CrsGraph>
sparse3Tensor2CrsGraph(
const Stokhos::Sparse3Tensor<ordinal_type,value_type>& Cijk,
const Epetra_BlockMap& map)
{
typedef Stokhos::Sparse3Tensor<ordinal_type,value_type> Cijk_type;
// Graph to be created
Teuchos::RCP<Epetra_CrsGraph> graph =
Teuchos::rcp(new Epetra_CrsGraph(Copy, map, 0));
// Loop over Cijk entries including a non-zero in the graph at
// indices (i,j) if there is any k for which Cijk is non-zero
for (typename Cijk_type::k_iterator k_it=Cijk.k_begin();
k_it!=Cijk.k_end(); ++k_it) {
for (typename Cijk_type::kj_iterator j_it = Cijk.j_begin(k_it);
j_it != Cijk.j_end(k_it); ++j_it) {
ordinal_type j = index(j_it);
for (typename Cijk_type::kji_iterator i_it = Cijk.i_begin(j_it);
i_it != Cijk.i_end(j_it); ++i_it) {
ordinal_type i = index(i_it);
graph->InsertGlobalIndices(i, 1, &j);
}
}
}
// Sort, remove redundencies, transform to local, ...
graph->FillComplete();
return graph;
}
template <typename ordinal_type, typename value_type>
void
sparse3Tensor2MatrixMarket(
const Stokhos::OrthogPolyBasis<ordinal_type,value_type>& basis,
const Stokhos::Sparse3Tensor<ordinal_type,value_type>& Cijk,
const Epetra_Comm& comm,
const std::string& file)
{
Teuchos::RCP<Epetra_CrsGraph> graph =
Stokhos::sparse3Tensor2CrsGraph(basis, Cijk, comm);
Epetra_CrsMatrix mat(Copy, *graph);
mat.FillComplete();
mat.PutScalar(1.0);
EpetraExt::RowMatrixToMatrixMarketFile(file.c_str(), mat);
}
template <typename ordinal_type, typename value_type>
void
sparse3Tensor2MatrixMarket(
const Stokhos::Sparse3Tensor<ordinal_type,value_type>& Cijk,
const Epetra_BlockMap& map,
const std::string& file)
{
Teuchos::RCP<Epetra_CrsGraph> graph =
Stokhos::sparse3Tensor2CrsGraph(Cijk, map);
Epetra_CrsMatrix mat(Copy, *graph);
mat.FillComplete();
mat.PutScalar(1.0);
EpetraExt::RowMatrixToMatrixMarketFile(file.c_str(), mat);
}
} // namespace Stokhos
#endif // SPARSE_3_TENSOR_UTILITIES_HPP
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