/usr/include/trilinos/Amesos2_KLU2_decl.hpp is in libtrilinos-amesos2-dev 12.4.2-2.
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//
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// Amesos2: Templated Direct Sparse Solver Package
// Copyright 2011 Sandia Corporation
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/**
\file Amesos2_KLU2_decl.hpp
\author Siva Rajamanickam <srajama@sandia.gov>
\brief Amesos2 KLU2 declarations.
*/
#ifndef AMESOS2_KLU2_DECL_HPP
#define AMESOS2_KLU2_DECL_HPP
#include "Amesos2_SolverTraits.hpp"
#include "Amesos2_SolverCore.hpp"
#include "Amesos2_KLU2_FunctionMap.hpp"
namespace Amesos2 {
/** \brief Amesos2 interface to the KLU2 package.
*
* See the \ref KLU2_parameters "summary of KLU2 parameters"
* supported by this Amesos2 interface.
*
* \ingroup amesos2_solver_interfaces
*/
template <class Matrix,
class Vector>
class KLU2 : public SolverCore<Amesos2::KLU2, Matrix, Vector>
{
friend class SolverCore<Amesos2::KLU2,Matrix,Vector>; // Give our base access
// to our private
// implementation funcs
public:
/// Name of this solver interface.
static const char* name; // declaration. Initialization outside.
typedef KLU2<Matrix,Vector> type;
typedef SolverCore<Amesos2::KLU2,Matrix,Vector> super_type;
// Since typedef's are not inheritted, go grab them
typedef typename super_type::scalar_type scalar_type;
typedef typename super_type::local_ordinal_type local_ordinal_type;
typedef typename super_type::global_ordinal_type global_ordinal_type;
typedef typename super_type::global_size_type global_size_type;
typedef TypeMap<Amesos2::KLU2,scalar_type> type_map;
/*
* The KLU2 interface will need two other typedef's, which are:
* - the KLU2 type that corresponds to scalar_type and
* - the corresponding type to use for magnitude
*/
typedef typename type_map::type slu_type;
typedef typename type_map::magnitude_type magnitude_type;
typedef FunctionMap<Amesos2::KLU2,slu_type> function_map;
/// \name Constructor/Destructor methods
//@{
/**
* \brief Initialize from Teuchos::RCP.
*
* \warning Should not be called directly! Use instead
* Amesos2::create() to initialize a KLU2 interface.
*/
KLU2(Teuchos::RCP<const Matrix> A,
Teuchos::RCP<Vector> X,
Teuchos::RCP<const Vector> B);
/// Destructor
~KLU2( );
//@}
private:
/**
* \brief Performs pre-ordering on the matrix to increase efficiency.
*
* KLU2 does not support pre-ordering, so this method does nothing.
*/
int preOrdering_impl();
/**
* \brief Perform symbolic factorization of the matrix using KLU2.
*
* Called first in the sequence before numericFactorization.
*
* \throw std::runtime_error KLU2 is not able to factor the matrix.
*/
int symbolicFactorization_impl();
/**
* \brief KLU2 specific numeric factorization
*
* \throw std::runtime_error KLU2 is not able to factor the matrix
*/
int numericFactorization_impl();
/**
* \brief KLU2 specific solve.
*
* Uses the symbolic and numeric factorizations, along with the RHS
* vector \c B to solve the sparse system of equations. The
* solution is placed in X.
*
* \throw std::runtime_error KLU2 is not able to solve the system.
*
* \callgraph
*/
int solve_impl(const Teuchos::Ptr<MultiVecAdapter<Vector> > X,
const Teuchos::Ptr<const MultiVecAdapter<Vector> > B) const;
/**
* \brief Determines whether the shape of the matrix is OK for this solver.
*/
bool matrixShapeOK_impl() const;
/**
* Currently, the following KLU2 parameters/options are
* recognized and acted upon:
*
* <ul>
* <li> \c "Trans" : { \c "NOTRANS" | \c "TRANS" |
* \c "CONJ" }. Specifies whether to solve with the transpose system.</li>
* <li> \c "Equil" : { \c true | \c false }. Specifies whether
* the solver to equilibrate the matrix before solving.</li>
* <li> \c "IterRefine" : { \c "NO" | \c "SINGLE" | \c "DOUBLE" | \c "EXTRA"
* }. Specifies whether to perform iterative refinement, and in
* what precision to compute the residual.</li>
* <li> \c "SymmetricMode" : { \c true | \c false }.</li>
* <li> \c "DiagPivotThresh" : \c double value. Specifies the threshold
* used for a diagonal to be considered an acceptable pivot.</li>
* <li> \c "ColPerm" which takes one of the following:
* <ul>
* <li> \c "NATURAL" : natural ordering.</li>
* <li> \c "MMD_AT_PLUS_A" : minimum degree ordering on the structure of
* \f$ A^T + A\f$ .</li>
* <li> \c "MMD_ATA" : minimum degree ordering on the structure of
* \f$ A T A \f$ .</li>
* <li> \c "COLAMD" : approximate minimum degree column ordering.
* (default)</li>
* </ul>
* </ul>
*/
void setParameters_impl(
const Teuchos::RCP<Teuchos::ParameterList> & parameterList );
/**
* Hooked in by Amesos2::SolverCore parent class.
*
* \return a const Teuchos::ParameterList of all valid parameters for this
* solver.
*/
Teuchos::RCP<const Teuchos::ParameterList> getValidParameters_impl() const;
/**
* \brief Reads matrix data into internal structures
*
* \param [in] current_phase an indication of which solution phase this
* load is being performed for.
*
* \return \c true if the matrix was loaded, \c false if not
*/
bool loadA_impl(EPhase current_phase);
// struct holds all data necessary for KLU2 factorization or solve call
mutable struct KLU2Data {
::KLU2::klu_symbolic<slu_type, local_ordinal_type> *symbolic_;
::KLU2::klu_numeric<slu_type, local_ordinal_type> *numeric_;
::KLU2::klu_common<slu_type, local_ordinal_type> common_;
} data_ ;
// The following Arrays are persisting storage arrays for A, X, and B
/// Stores the values of the nonzero entries for KLU2
Teuchos::Array<slu_type> nzvals_;
/// Stores the location in \c Ai_ and Aval_ that starts row j
Teuchos::Array<local_ordinal_type> rowind_;
/// Stores the row indices of the nonzero entries
Teuchos::Array<local_ordinal_type> colptr_;
/// Persisting 1D store for X
Teuchos::Array<slu_type> xvals_; local_ordinal_type ldx_;
/// Persisting 1D store for B
Teuchos::Array<slu_type> bvals_; local_ordinal_type ldb_;
}; // End class KLU2
// Specialize solver_traits struct for KLU2
// TODO
template <>
struct solver_traits<KLU2> {
#ifdef HAVE_TEUCHOS_COMPLEX
typedef Meta::make_list4<float,
double,
std::complex<float>,
std::complex<double> > supported_scalars;
#else
typedef Meta::make_list2<float, double> supported_scalars;
#endif
};
} // end namespace Amesos2
#endif // AMESOS2_KLU2_DECL_HPP
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