Amesos2_Control.hpp

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#ifndef AMESOS2_CONTROL_HPP
#define AMESOS2_CONTROL_HPP

#include <Teuchos_ParameterList.hpp>
#include <Teuchos_RCP.hpp>

namespace Amesos2 {


struct Control {
  Control()
    : verbose_(0)
    , debug_(0)
    , useTranspose_(false)
    , addToDiag_("0.0")
    , addZeroToDiag_(false)
    , matrixProperty_(0)
    , rcond_threshold_(1e-12)
    , refactorize_(false)
    , scaleMethod_(0)
    , reindex_(false)
    { }

  ~Control() { };

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

  int verbose_;

  int debug_;


  bool useTranspose_;


  std::string addToDiag_;


  bool addZeroToDiag_;


  int matrixProperty_;


  double rcond_threshold_; // if we refactorize, the factorization
  // may suffer in numeric quality.  We
  // compute rcond = min (abs (diag (U))) /
  // max (abs(diag (U))).  If this ratio is
  // <= rcond_threshold_, then the
  // "refactorization" is scrapped, and we
  // factor with full partial pivoting
  // instead.


  bool refactorize_; // if true, and if the Symbolic and Numeric
  // objects have already been created, then
  // attempt to "refactorize" (factor the matrix
  // with no changes to the pivot order since the
  // last call the klu_btf_factor).


  int scaleMethod_; // Most methods (klu, UMFPACK, Mumps, ...) can
  // scale the input matrix prior to
  // factorization.  This can improve pivoting,
  // reduces fill-in, and leads to a better
  // quality factorization.  The options are:
  // 0: no scaling
  // 1: use the default method for the specific
  // package
  // 2: use the method's 1st alternative (if it
  // has one)
  // 3: use the method's 2nd alternative, and so
  // on.
  //
  // Amesos2_Klu is, at present, the only code
  // which implements this


  bool reindex_;

};                              // end class Control


} // end namespace Amesos2

#endif  // AMESOS2_CONTROL_HPP