/usr/include/trilinos/AnasaziStubTsqrAdapter.hpp is in libtrilinos-anasazi-dev 12.12.1-5.
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// ***********************************************************************
//
// Anasazi: Block Eigensolvers Package
// Copyright 2004 Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
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// modification, are permitted provided that the following conditions are
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//
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//
// 2. Redistributions in binary form must reproduce the above copyright
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// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
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// @HEADER
#ifndef __Anasazi_StubTsqrAdapter_hpp
#define __Anasazi_StubTsqrAdapter_hpp
#include <AnasaziConfigDefs.hpp>
#include <Teuchos_ParameterListAcceptorDefaultBase.hpp>
#include <Teuchos_ScalarTraits.hpp>
#include <Teuchos_SerialDenseMatrix.hpp>
#include <Teuchos_TypeNameTraits.hpp>
#include <stdexcept>
/// \file AnasaziStubTsqrAdapter.hpp
/// \brief "Stub" TSQR adapter for unsupported multivector types.
namespace Anasazi {
namespace details {
/// \class StubTsqrAdapter
/// \brief "Stub" TSQR adaptor for unsupported multivector types.
///
/// TSQR (Tall Skinny QR factorization) is an orthogonalization
/// kernel that is as accurate as Householder QR, yet requires only
/// \f$2 \log P\f$ messages between $P$ MPI processes, independently
/// of the number of columns in the multivector.
///
/// TSQR works independently of the particular multivector
/// implementation, and interfaces to the latter via an adapter
/// class. Each multivector type MV needs its own adapter class.
/// The specialization of MultiVecTraits for MV refers to its
/// corresponding adapter class as its \c tsqr_adaptor_type [sic;
/// sorry about the lack of standard spelling of "adapter"] typedef.
/// For examples, please refer to the Epetra_MultiVector and
/// Tpetra::MultiVector specializations of Anasazi::MultiVecTraits.
///
/// Nevertheless, there may be multivector types for which a TSQR
/// adapter has not yet been written. This "stub" adapter
/// implements the interface that TSQR adapters must implement, but
/// all of its methods throw std::logic_error to indicate that this
/// is a stub. Thus, it allows Anasazi classes like
/// TsqrOrthoManagerImpl to compile successfully for unsupported MV
/// types. This in turn allows OrthoManagerFactory to be templated
/// on the MV type.
template<class MultiVectorType>
class StubTsqrAdapter : public Teuchos::ParameterListAcceptorDefaultBase {
public:
typedef MultiVectorType MV;
typedef double scalar_type; // This doesn't really matter
typedef int ordinal_type; // This doesn't matter either
typedef int node_type; // Nor does this
typedef Teuchos::SerialDenseMatrix<ordinal_type, scalar_type> dense_matrix_type;
typedef typename Teuchos::ScalarTraits<scalar_type>::magnitudeType magnitude_type;
/// \brief Constructor (that accepts a parameter list).
///
/// \param plist [in] List of parameters for configuring TSQR.
/// The specific parameter keys that are read depend on the TSQR
/// implementation. For details, call \c getValidParameters()
/// and examine the documentation embedded therein.
StubTsqrAdapter (const Teuchos::RCP<Teuchos::ParameterList>& plist)
{
TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "TSQR adapter for "
"multivector type \"" << Teuchos::TypeNameTraits<MV>::name()
<< " is not yet implemented.");
}
//! Default constructor (stub; throws std::logic_error).
StubTsqrAdapter ()
{
TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "TSQR adapter for "
"multivector type \"" << Teuchos::TypeNameTraits<MV>::name()
<< " is not yet implemented.");
}
//! Copy constructor (throws std::logic_error).
StubTsqrAdapter (const StubTsqrAdapter& rhs)
{
(void) rhs;
TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "TSQR adapter for "
"multivector type \"" << Teuchos::TypeNameTraits<MV>::name()
<< " is not yet implemented.");
}
//! Get list of valid default parameters (stub; throws std::logic_error).
Teuchos::RCP<const Teuchos::ParameterList>
getValidParameters () const
{
TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "TSQR adapter for "
"multivector type \"" << Teuchos::TypeNameTraits<MV>::name()
<< " is not yet implemented.");
}
//! Set parameters (stub; throws std::logic_error).
void
setParameterList (const Teuchos::RCP<Teuchos::ParameterList>& plist)
{
TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "TSQR adapter for "
"multivector type \"" << Teuchos::TypeNameTraits<MV>::name()
<< " is not yet implemented.");
}
//! Compute QR factorization [Q,R] = qr(A,0) (stub; throws std::logic_error).
void
factorExplicit (MV& A,
MV& Q,
dense_matrix_type& R,
const bool forceNonnegativeDiagonal=false)
{
TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "TSQR adapter for "
"multivector type \"" << Teuchos::TypeNameTraits<MV>::name()
<< " is not yet implemented.");
}
//! Rank-revealing decomposition (stub; does nothing).
int
revealRank (MV& Q,
dense_matrix_type& R,
const magnitude_type& tol)
{
// mfh 08 Sep 2012: In order to prevent compiler warnings on
// some platforms, we simply return some value. This code can
// never execute anyway, since it is in an instance method and
// all of the constructors throw exceptions. (We've overridden
// the default and copy constructors to throw exceptions.)
return 0;
}
};
} // namespace details
} // namespace Anasazi
#endif // __Anasazi_StubTsqrAdapter_hpp
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