/usr/include/trilinos/Tpetra_ApplyOp.hpp is in libtrilinos-tpetra-dev 12.4.2-2.
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// ***********************************************************************
//
// Tpetra: Templated Linear Algebra Services Package
// Copyright (2008) Sandia Corporation
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// @HEADER
#ifndef TPETRA_APPLYOP_HPP
#define TPETRA_APPLYOP_HPP
#include "Tpetra_ConfigDefs.hpp"
#include "Tpetra_Operator.hpp"
#include "Tpetra_MultiVector.hpp"
/// \file Tpetra_ApplyOp.hpp
/// \brief Implementation of the class Tpetra::ApplyOp.
namespace Tpetra {
namespace details {
/// \brief A class for wrapping an Operator apply in a Operator.
///
/// \note Most Tpetra users do not need to use this class. It will
/// be useful to Tpetra users who want to do mixed-precision
/// operator apply, where the operator's data
/// has a different precision than that of the input and
/// output vectors. If your operator and vectors have the
/// same type of entries, then you don't need to use this class.
///
/// This class makes a <tt>Operator<OpScalar, ...></tt> "look
/// like" an <tt>Operator<Scalar, ...></tt>, where
/// <tt>OpScalar</tt> and <tt>Scalar</tt> may be different types.
/// It does so by working around a limitation of C++, namely that
/// template methods of a class can't be virtual.
///
/// \tparam Scalar The type of the entries of the input and output
/// MultiVector of the apply() method. Same as the first template
/// parameter of Operator.
///
/// \tparam OperatorType The type of the underlying Operator,
/// whose first template parameter OperatorType::scalar_type may
/// differ from this Operator's Scalar type.
template <class Scalar, class OperatorType>
class ApplyOp :
public Tpetra::Operator<Scalar,
typename OperatorType::local_ordinal_type,
typename OperatorType::global_ordinal_type,
typename OperatorType::node_type> {
public:
// \name Typedefs
//@{
//! The type of the entries of the input OperatorType.
typedef typename OperatorType::scalar_type scalar_type;
//! The type of local indices in the input OperatorType.
typedef typename OperatorType::local_ordinal_type local_ordinal_type;
//! The type of global indices in the input OperatorType.
typedef typename OperatorType::global_ordinal_type global_ordinal_type;
//! The type of the Kokkos Node used by the input OperatorType.
typedef typename OperatorType::node_type node_type;
//@}
//! @name Constructor and destructor
//@{
/// \brief Constructor
///
/// \param A [in] The Operator to wrap with a different Scalar type.
ApplyOp (const Teuchos::RCP<const OperatorType> &op) : operator_(op)
{}
//! Destructor
virtual ~ApplyOp () {}
//@}
//! @name Methods implementing Operator
//@{
/// \brief Compute <tt>Y = beta*Y + alpha*Op(A)*X</tt>, where
/// <tt>Op(A)</tt> is either A, \f$A^T\f$, or \f$A^H\f$.
///
/// This method calls the underlying Operator object's
/// applyTempl<Scalar,Scalar>() method.
void
apply (const Tpetra::MultiVector<Scalar,local_ordinal_type,global_ordinal_type,node_type>& X,
Tpetra::MultiVector<Scalar,local_ordinal_type,global_ordinal_type,node_type>& Y,
Teuchos::ETransp mode = Teuchos::NO_TRANS,
Scalar alpha = Teuchos::ScalarTraits<Scalar>::one(),
Scalar beta = Teuchos::ScalarTraits<Scalar>::zero()) const
{
operator_->template applyTempl<Scalar,Scalar> (X, Y, mode, alpha, beta);
}
/// \brief Whether this Operator's apply() method can apply the
/// transpose or conjugate transpose.
///
/// This depends on whether it is true for the Operator that
/// this object wraps.
bool hasTransposeApply() const {
return operator_->hasTransposeApply ();
}
//! The domain Map of this Operator.
Teuchos::RCP<const Tpetra::Map<local_ordinal_type,global_ordinal_type,node_type> >
getDomainMap () const {
return operator_->getDomainMap ();
}
//! The range Map of this Operator.
Teuchos::RCP<const Tpetra::Map<local_ordinal_type,global_ordinal_type,node_type> >
getRangeMap () const {
return operator_->getRangeMap ();
}
//@}
protected:
//! The underlying Operator object.
Teuchos::RCP<const OperatorType> operator_;
};
} // end of namespace details
} // end of namespace Tpetra
#endif // TPETRA_APPLYOP_HPP
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