Amesos2_Cholmod_decl.hpp

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#ifndef AMESOS2_CHOLMOD_DECL_HPP
#define AMESOS2_CHOLMOD_DECL_HPP

#include "Amesos2_SolverTraits.hpp"
#include "Amesos2_SolverCore.hpp"
#include "Amesos2_Cholmod_FunctionMap.hpp"


namespace Amesos2 {


template <class Matrix,
          class Vector>
class Cholmod : public SolverCore<Amesos2::Cholmod, Matrix, Vector>
{
  friend class SolverCore<Amesos2::Cholmod,Matrix,Vector>; // Give our base access
                                                          // to our private
                                                          // implementation funcs
public:

  static const char* name;      // declaration. Initialization outside.

  typedef Cholmod<Matrix,Vector>                                       type;
  typedef SolverCore<Amesos2::Cholmod,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 typename super_type::node_type                        node_type;

  typedef TypeMap<Amesos2::Cholmod,scalar_type>                    type_map;

  /*
   * The SuperLU interface will need two other typedef's, which are:
   * - the superlu type that corresponds to scalar_type and
   * - the corresponding type to use for magnitude
   */
  typedef typename type_map::type                                 chol_type;
  typedef typename type_map::magnitude_type                  magnitude_type;

  typedef FunctionMap<Amesos2::Cholmod,chol_type>              function_map;



  Cholmod(Teuchos::RCP<const Matrix> A,
          Teuchos::RCP<Vector>       X,
          Teuchos::RCP<const Vector> B);


  ~Cholmod( );


private:

  int preOrdering_impl();


  int symbolicFactorization_impl();


  int numericFactorization_impl();


  int solve_impl(const Teuchos::Ptr<MultiVecAdapter<Vector> >       X,
                 const Teuchos::Ptr<const MultiVecAdapter<Vector> > B) const;


  bool matrixShapeOK_impl() const;


  void setParameters_impl(
    const Teuchos::RCP<Teuchos::ParameterList> & parameterList );


  Teuchos::RCP<const Teuchos::ParameterList> getValidParameters_impl() const;


  bool loadA_impl(EPhase current_phase);


  // struct holds all data necessary to make a superlu factorization or solve call
  mutable struct CholData {
    CHOL::cholmod_sparse A; 
    CHOL::cholmod_dense x, b;
    CHOL::cholmod_dense *Y, *E;
    CHOL::cholmod_factor *L;
    CHOL::cholmod_common c;
  } data_;

  // The following Arrays are persisting storage arrays for A, X, and B
  Teuchos::Array<chol_type> nzvals_;
  Teuchos::Array<int> rowind_;
  Teuchos::Array<int> colptr_;

  Teuchos::Array<chol_type> xvals_;  int ldx_;
  Teuchos::Array<chol_type> bvals_;  int ldb_;

  bool firstsolve;
  
  // Used as a hack around cholmod doing ordering and symfact together
  bool skip_symfact;

  Teuchos::RCP<const Tpetra::Map<local_ordinal_type,global_ordinal_type,node_type> > map;

};                              // End class Cholmod


/* Specialize solver_traits struct for Cholmod
 *
 * Based on the CHOLMOD documentation, the support for
 * single-precision complex numbers is unclear.  Much of the
 * discussion of complex types only makes explicit mention of 'double'
 * types.  So, be pessimistic for now and don't declare
 * single-precision complex support
 */
template <>
struct solver_traits<Cholmod> {
#ifdef HAVE_TEUCHOS_COMPLEX
  typedef Meta::make_list4<float,
         double,
                           std::complex<double>,
                           CHOL::complex> supported_scalars;
#else
  typedef Meta::make_list2<float, double> supported_scalars;
#endif
};

} // end namespace Amesos2

#endif  // AMESOS2_CHOLMOD_DECL_HPP