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// ***********************************************************************
//
// Ifpack: Object-Oriented Algebraic Preconditioner Package
// Copyright (2002) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
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*/
#ifndef IFPACK_ILUT_H
#define IFPACK_ILUT_H
#include "Ifpack_ConfigDefs.h"
#include "Ifpack_CondestType.h"
#include "Ifpack_ScalingType.h"
#include "Ifpack_Preconditioner.h"
#include "Epetra_Vector.h"
#include "Epetra_CrsMatrix.h"
#include "Epetra_Time.h"
#include "Teuchos_RefCountPtr.hpp"
class Epetra_RowMatrix;
class Epetra_SerialComm;
class Epetra_Comm;
class Epetra_Map;
class Epetra_MultiVector;
namespace Teuchos {
class ParameterList;
}
//! Ifpack_ILUT: A class for constructing and using an incomplete LU factorization of a given Epetra_RowMatrix.
/*! The Ifpack_ILUT class computes a "Relaxed" ILUT factorization with dual threshold dropping of small elements of a given Epetra_RowMatrix.
<P> This implementation does not use the algorithm that is described
in \ref ifp_ilu. The algorithm drops entries in a row (i) of matrix A that
are smaller than drop_tolerance even before the factorization of row i
then computes the factorization for that row. This is different than the
usual algorithm where the drop tolerance is applied to the factored rows.
<P>The complete list of supported parameters is reported in page \ref ifp_params.
\author Marzio Sala, SNL 9214.
\date Last modified on 22-Jan-05.
*/
class Ifpack_ILUT: public Ifpack_Preconditioner {
public:
// @{ Constructors and Destructors
//! Ifpack_ILUT constuctor with variable number of indices per row.
Ifpack_ILUT(const Epetra_RowMatrix* A);
//! Ifpack_ILUT Destructor
virtual ~Ifpack_ILUT();
// @}
// @{ Construction methods
//! Set parameters using a Teuchos::ParameterList object.
/* This method is only available if the Teuchos package is enabled.
This method recognizes five parameter names: level_fill, drop_tolerance,
absolute_threshold, relative_threshold and overlap_mode. These names are
case insensitive. For level_fill the ParameterEntry must have type int, the
threshold entries must have type double and overlap_mode must have type
Epetra_CombineMode.
*/
int SetParameters(Teuchos::ParameterList& parameterlis);
//! Initialize L and U with values from user matrix A.
/*! Copies values from the user's matrix into the nonzero pattern of L and U.
\param In
A - User matrix to be factored.
\warning The graph of A must be identical to the graph passed in to Ifpack_IlukGraph constructor.
*/
int Initialize();
//! Returns \c true if the preconditioner has been successfully initialized.
bool IsInitialized() const
{
return(IsInitialized_);
}
//! Compute IC factor U using the specified graph, diagonal perturbation thresholds and relaxation parameters.
/*! This function computes the RILU(k) factors L and U using the current:
<ol>
<li> Ifpack_IlukGraph specifying the structure of L and U.
<li> Value for the RILU(k) relaxation parameter.
<li> Value for the \e a \e priori diagonal threshold values.
</ol>
InitValues() must be called before the factorization can proceed.
*/
int Compute();
//! If factor is completed, this query returns true, otherwise it returns false.
bool IsComputed() const {return(IsComputed_);};
// Mathematical functions.
//! Returns the result of a Ifpack_ILUT forward/back solve on a Epetra_MultiVector X in Y.
/*!
\param
X - (In) A Epetra_MultiVector of dimension NumVectors to solve for.
\param
Y - (Out) A Epetra_MultiVector of dimension NumVectorscontaining result.
\return Integer error code, set to 0 if successful.
*/
int ApplyInverse(const Epetra_MultiVector& X, Epetra_MultiVector& Y) const;
int Apply(const Epetra_MultiVector& X, Epetra_MultiVector& Y) const;
//! Computed the estimated condition number and returns the value.
double Condest(const Ifpack_CondestType CT = Ifpack_Cheap,
const int MaxIters = 1550,
const double Tol = 1e-9,
Epetra_RowMatrix* Matrix_in = 0);
//! Returns the computed estimated condition number, or -1.0 if no computed.
double Condest() const
{
return(Condest_);
}
//! If set true, transpose of this operator will be applied.
/*! This flag allows the transpose of the given operator to be used implicitly. Setting this flag
affects only the Apply() and ApplyInverse() methods. If the implementation of this interface
does not support transpose use, this method should return a value of -1.
\param
UseTranspose_in - (In) If true, multiply by the transpose of operator, otherwise just use operator.
\return Always returns 0.
*/
int SetUseTranspose(bool UseTranspose_in) {UseTranspose_ = UseTranspose_in; return(0);};
//! Returns 0.0 because this class cannot compute Inf-norm.
double NormInf() const {return(0.0);};
//! Returns false because this class cannot compute an Inf-norm.
bool HasNormInf() const {return(false);};
//! Returns the current UseTranspose setting.
bool UseTranspose() const {return(UseTranspose_);};
//! Returns the Epetra_Map object associated with the domain of this operator.
const Epetra_Map & OperatorDomainMap() const {return(A_.OperatorDomainMap());};
//! Returns the Epetra_Map object associated with the range of this operator.
const Epetra_Map & OperatorRangeMap() const{return(A_.OperatorRangeMap());};
//! Returns the Epetra_BlockMap object associated with the range of this matrix operator.
const Epetra_Comm & Comm() const{return(Comm_);};
//! Returns a reference to the matrix to be preconditioned.
const Epetra_RowMatrix& Matrix() const
{
return(A_);
}
//! Returns a reference to the L factor.
const Epetra_CrsMatrix & L() const {return(*L_);};
//! Returns a reference to the U factor.
const Epetra_CrsMatrix & U() const {return(*U_);};
//! Returns the label of \c this object.
const char* Label() const
{
return(Label_.c_str());
}
//! Sets the label for \c this object
int SetLabel(const char* Label_in)
{
Label_ = Label_in;
return(0);
}
//! Prints basic information on iostream. This function is used by operator<<.
virtual std::ostream& Print(std::ostream& os) const;
//! Returns the number of calls to Initialize().
virtual int NumInitialize() const
{
return(NumInitialize_);
}
//! Returns the number of calls to Compute().
virtual int NumCompute() const
{
return(NumCompute_);
}
//! Returns the number of calls to ApplyInverse().
virtual int NumApplyInverse() const
{
return(NumApplyInverse_);
}
//! Returns the time spent in Initialize().
virtual double InitializeTime() const
{
return(InitializeTime_);
}
//! Returns the time spent in Compute().
virtual double ComputeTime() const
{
return(ComputeTime_);
}
//! Returns the time spent in ApplyInverse().
virtual double ApplyInverseTime() const
{
return(ApplyInverseTime_);
}
//! Returns the number of flops in the initialization phase.
virtual double InitializeFlops() const
{
return(0.0);
}
virtual double ComputeFlops() const
{
return(ComputeFlops_);
}
virtual double ApplyInverseFlops() const
{
return(ApplyInverseFlops_);
}
inline double LevelOfFill() const {
return(LevelOfFill_);
}
//! Set relative threshold value
inline double RelaxValue() const {
return(Relax_);
}
//! Get absolute threshold value
inline double AbsoluteThreshold() const
{
return(Athresh_);
}
//! Get relative threshold value
inline double RelativeThreshold() const
{
return(Rthresh_);
}
//! Gets the dropping tolerance
inline double DropTolerance() const
{
return(DropTolerance_);
}
//! Returns the number of nonzero entries in the global graph.
#ifndef EPETRA_NO_32BIT_GLOBAL_INDICES
int NumGlobalNonzeros() const {
// FIXME: diagonal of L_ should not be stored
return(L().NumGlobalNonzeros() + U().NumGlobalNonzeros() - L().NumGlobalRows());
}
#endif
long long NumGlobalNonzeros64() const {
// FIXME: diagonal of L_ should not be stored
return(L().NumGlobalNonzeros64() + U().NumGlobalNonzeros64() - L().NumGlobalRows64());
}
//! Returns the number of nonzero entries in the local graph.
int NumMyNonzeros() const {
return(L().NumMyNonzeros() + U().NumMyNonzeros());
}
private:
// @}
// @{ Internal methods
//! Copy constructor (should never be used)
Ifpack_ILUT(const Ifpack_ILUT& RHS) :
A_(RHS.Matrix()),
Comm_(RHS.Comm()),
Time_(Comm())
{};
//! operator= (should never be used)
Ifpack_ILUT& operator=(const Ifpack_ILUT& RHS)
{
return(*this);
}
template<typename int_type>
int TCompute();
//! Releases all allocated memory.
void Destroy();
// @}
// @{ Internal data
//! reference to the matrix to be preconditioned.
const Epetra_RowMatrix& A_;
//! Reference to the communicator object.
const Epetra_Comm& Comm_;
//! L factor
Teuchos::RefCountPtr<Epetra_CrsMatrix> L_;
//! U factor
Teuchos::RefCountPtr<Epetra_CrsMatrix> U_;
//! Condition number estimate.
double Condest_;
//! relaxation value
double Relax_;
//! Absolute threshold
double Athresh_;
//! Relative threshold
double Rthresh_;
//! Level-of-fill
double LevelOfFill_;
//! Discards all elements below this tolerance
double DropTolerance_;
//! Label for \c this object
std::string Label_;
//! \c true if \c this object has been initialized
bool IsInitialized_;
//! \c true if \c this object has been computed
bool IsComputed_;
//! \c true if transpose has to be used.
bool UseTranspose_;
//! Number of local rows.
int NumMyRows_;
//! Contains the number of successful calls to Initialize().
int NumInitialize_;
//! Contains the number of successful call to Compute().
int NumCompute_;
//! Contains the number of successful call to ApplyInverse().
mutable int NumApplyInverse_;
//! Contains the time for all successful calls to Initialize().
double InitializeTime_;
//! Contains the time for all successful calls to Compute().
double ComputeTime_;
//! Contains the time for all successful calls to ApplyInverse().
mutable double ApplyInverseTime_;
//! Contains the number of flops for Compute().
double ComputeFlops_;
//! Contain sthe number of flops for ApplyInverse().
mutable double ApplyInverseFlops_;
//! Used for timing purposed
mutable Epetra_Time Time_;
//! Global number of nonzeros in L and U factors
long long GlobalNonzeros_;
Teuchos::RefCountPtr<Epetra_SerialComm> SerialComm_;
Teuchos::RefCountPtr<Epetra_Map> SerialMap_;
}; // Ifpack_ILUT
#endif /* IFPACK_ILUT_H */
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