libtrilinos-belos-dev 12.12.1-5 / usr / include / trilinos / BelosMultiVecTraits.hpp

//@HEADER
// ************************************************************************
//
//                 Belos: Block Linear Solvers Package
//                  Copyright 2004 Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// 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
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact Michael A. Heroux (maherou@sandia.gov)
//
// ************************************************************************
//@HEADER
//
#ifndef BELOS_MULTI_VEC_TRAITS_HPP
#define BELOS_MULTI_VEC_TRAITS_HPP

/// \file BelosMultiVecTraits.hpp
/// \brief Declaration of basic traits for the multivector type
///
/// Belos::MultiVecTraits declares basic traits for the multivector
/// type MV used in Belos's orthogonalizations and solvers.  A
/// specialization of MultiVecTraits that defines all the traits must
/// be made for each specific multivector type.  Here, we only provide
/// default definitions that fail at compile time if no specialization
/// of MultiVecTraits exists for the given combination of scalar type
/// (ScalarType) and multivector type (MV).

#include "BelosTypes.hpp"
#include "BelosStubTsqrAdapter.hpp"
#include "Teuchos_Range1D.hpp"
#include "Teuchos_RCP.hpp"
#include "Teuchos_SerialDenseMatrix.hpp"

namespace Belos {

  /// \class UndefinedMultiVecTraits
  /// \brief Used by MultiVecTraits to report lack of a specialization.
  ///
  /// MultiVecTraits<ScalarType, MV> uses this struct to produce a
  /// compile-time error when no specialization exists for the scalar
  /// type ScalarType and multivector type MV.
  template<class ScalarType, class MV>
  struct UndefinedMultiVecTraits
  {
    /// \brief Any attempt to compile this method will result in a compile-time error.
    ///
    /// If you see compile errors referring to this method, then
    /// either no specialization of MultiVecTraits exists for the
    /// scalar type ScalarType and multivector type MV, or the
    /// specialization for ScalarType and MV is not complete.
    static inline ScalarType notDefined() {
      return MV::this_type_is_missing_a_specialization();
    }
  };

  /// \brief Traits class which defines basic operations on multivectors.
  /// \ingroup belos_opvec_interfaces
  ///
  /// \tparam ScalarType The type of the entries in the multivectors.
  /// \tparam MV The type of the multivectors themselves.
  ///
  /// This traits class tells Belos' solvers how to perform
  /// multivector operations for the multivector type MV.  These
  /// operations include creating copies or views, finding the number
  /// of rows or columns (i.e., vectors) in a given multivector, and
  /// computing inner products, norms, and vector sums.  (Belos'
  /// solvers use the OperatorTraits traits class to apply operators
  /// to multivectors.)
  ///
  /// Belos gives users two different ways to tell its solvers how to
  /// compute with multivectors of a given type MV.  The first and
  /// preferred way is for users to specialize MultiVecTraits, this
  /// traits class, for their given MV type.  Belos provides
  /// specializations for MV = Epetra_MultiVector and
  /// Tpetra::MultiVector, and Stratimikos provides a specialization
  /// for Thyra::MultiVectorBase.  The second way is for users to make
  /// their multivector type (or a wrapper thereof) inherit from
  /// MultiVec.  This works because Belos provides a specialization of
  /// MultiVecTraits for MultiVec.  Specializing MultiVecTraits is
  /// more flexible because it does not require a multivector type to
  /// inherit from MultiVec; this is possible even if you do not have
  /// control over the interface of a class.
  ///
  /// If you have a different multivector type MV that you would like
  /// to use with Belos, and if that type does not inherit from
  /// MultiVec, then you must implement a specialization of
  /// MultiVecTraits for MV.  Otherwise, this traits class will report
  /// a compile-time error (relating to UndefinedMultiVecTraits).
  /// Specializing MultiVecTraits for your MV type is not hard.  Just
  /// look at the examples for Epetra_MultiVector (in
  /// belos/epetra/src/BelosEpetraAdapter.hpp) and Tpetra::MultiVector
  /// (in belos/tpetra/src/BelosTpetraAdapter.hpp).
  ///
  /// \note You do <i>not</i> need to write a specialization of
  ///   MultiVecTraits if you are using Epetra, Tpetra, or Thyra
  ///   multivectors.  Belos already provides specializations for the
  ///   Epetra and Tpetra multivector types, and Stratimikos provides
  ///   a specialization for the Thyra type.  Just relax and enjoy
  ///   using the solvers!
  template<class ScalarType, class MV>
  class MultiVecTraits {
  public:
    //! @name Creation methods
    //@{

    /*! \brief Creates a new empty \c MV containing \c numvecs columns.

    \return Reference-counted pointer to the new multivector of type \c MV.
    */
    static Teuchos::RCP<MV> Clone( const MV& mv, const int numvecs )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); return Teuchos::null; }

    /*! \brief Creates a new \c MV and copies contents of \c mv into the new vector (deep copy).

      \return Reference-counted pointer to the new multivector of type \c MV.
    */
    static Teuchos::RCP<MV> CloneCopy( const MV& mv )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); return Teuchos::null; }

    /*! \brief Creates a new \c MV and copies the selected contents of \c mv into the new vector (deep copy).

      The copied vectors from \c mv are indicated by the \c index.size() indices in \c index.
      \return Reference-counted pointer to the new multivector of type \c MV.
    */
    static Teuchos::RCP<MV> CloneCopy( const MV& mv, const std::vector<int>& index )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); return Teuchos::null; }

    /// \brief Deep copy of specified columns of mv
    ///
    /// Create a new MV, and copy (deep copy) the columns of mv
    /// specified by the given inclusive index range into the new
    /// multivector.
    ///
    /// \param mv [in] Multivector to copy
    /// \param index [in] Inclusive index range of columns of mv
    /// \return Reference-counted pointer to the new multivector of type \c MV.
    static Teuchos::RCP<MV> CloneCopy( const MV& mv, const Teuchos::Range1D& index )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); return Teuchos::null; }

    /*! \brief Creates a new \c MV that shares the selected contents of \c mv (shallow copy).

    The index of the \c numvecs vectors shallow copied from \c mv are indicated by the indices given in \c index.
    \return Reference-counted pointer to the new multivector of type \c MV.
    */
    static Teuchos::RCP<MV> CloneViewNonConst( MV& mv, const std::vector<int>& index )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); return Teuchos::null; }

    /// \brief Non-const view of specified columns of mv
    ///
    /// Return a non-const view of the columns of mv specified by the
    /// given inclusive index range.
    ///
    /// \param mv [in] Multivector to view (shallow non-const copy)
    /// \param index [in] Inclusive index range of columns of mv
    /// \return Reference-counted pointer to the non-const view of specified columns of mv
    static Teuchos::RCP<MV> CloneViewNonConst( MV& mv, const Teuchos::Range1D& index )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); return Teuchos::null; }

    /*! \brief Creates a new const \c MV that shares the selected contents of \c mv (shallow copy).

    The index of the \c numvecs vectors shallow copied from \c mv are indicated by the indices given in \c index.
    \return Reference-counted pointer to the new const multivector of type \c MV.
    */
    static Teuchos::RCP<const MV> CloneView( const MV& mv, const std::vector<int>& index )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); return Teuchos::null; }

    /// \brief Const view of specified columns of mv
    ///
    /// Return a const view of the columns of mv specified by the
    /// given inclusive index range.
    ///
    /// \param mv [in] Multivector to view (shallow const copy)
    /// \param index [in] Inclusive index range of columns of mv
    /// \return Reference-counted pointer to the const view of specified columns of mv
    static Teuchos::RCP<MV> CloneView( MV& mv, const Teuchos::Range1D& index )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); return Teuchos::null; }

    //@}

    //! @name Attribute methods
    //@{

    /// Return the number of rows in the given multivector \c mv.
    ///
    //! Obtain the vector length of \c mv.
    static ptrdiff_t GetGlobalLength( const MV& mv )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); return 0; }

    //! Obtain the number of vectors in \c mv
    static int GetNumberVecs( const MV& mv )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); return 0; }

    /// Whether the given multivector \c mv has constant stride
    ///
    /// \param mv [in] Multivector to check
    ///
    /// Knowing whether \c mv has constant stride is useful for
    /// certain orthogonalization methods, for example.
    ///
    /// \note (mfh 13 Jan 2011) This is really a hack for TSQR, which
    /// currently can only process multivectors with constant stride.
    /// Fixing this can be done in a few different ways:
    /// - Copy the entire multivector into a constant-stride
    ///   multivector (performance penalty for copying in and out,
    ///   storage penalty of one multivector, but easy to implement)
    /// - Copying "cache blocks" in and out of constant-stride storage
    ///   (some performance penalty, storage penalty << one
    ///   multivector, requires a new variant of TSQR::SequentialTsqr
    ///   and perhaps a restructuring of the TSQR has-a hierarchy)
    /// - Writing an implementation / back-end of TSQR::Combine that
    ///   can handle cache blocks not of constant stride.  Like the
    ///   above, a bit more work, but without the copy in/out
    ///   performance penalty for cache blocks, and doesn't require
    ///   an extra cache block's worth of storage.
    static bool HasConstantStride( const MV& mv )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); return false; }

    //@}

    //! @name Update methods
    //@{

    /*! \brief Update \c mv with \f$ \alpha AB + \beta mv \f$.
     */
    static void MvTimesMatAddMv( const ScalarType alpha, const MV& A,
                                 const Teuchos::SerialDenseMatrix<int,ScalarType>& B,
                                 const ScalarType beta, MV& mv )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); }

    /*! \brief Replace \c mv with \f$\alpha A + \beta B\f$.
     */
    static void MvAddMv( const ScalarType alpha, const MV& A, const ScalarType beta, const MV& B, MV& mv )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); }

    /*! \brief Scale each element of the vectors in \c mv with \c alpha.
     */
    static void MvScale ( MV& mv, const ScalarType alpha )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); }

    /*! \brief Scale each element of the \c i-th vector in \c mv with \c alpha[i].
     */
    static void MvScale ( MV& mv, const std::vector<ScalarType>& alpha )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); }

    /*! \brief Compute a dense matrix \c B through the matrix-matrix multiply \f$ \alpha A^Hmv \f$.
    */
    static void MvTransMv( const ScalarType alpha, const MV& A, const MV& mv, Teuchos::SerialDenseMatrix<int,ScalarType>& B)
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); }

    /*! \brief Compute a vector \c b where the components are the individual dot-products of the \c i-th columns of \c A and \c mv, i.e.\f$b[i] = A[i]^Hmv[i]\f$.
     */
    static void MvDot ( const MV& mv, const MV& A, std::vector<ScalarType> &b)
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); }

    //@}
    //! @name Norm method
    //@{

    /*! \brief Compute the norm of each individual vector of \c mv.
      Upon return, \c normvec[i] holds the value of \f$||mv_i||\f$, the \c i-th column of \c mv.

      @param mv: multi-vector
      @param normvec: std::vector containing the norm for each vector in mv
      @param NormType: norm type (default: two-norm)
    */
    static void MvNorm( const MV& mv, std::vector<typename Teuchos::ScalarTraits<ScalarType>::magnitudeType>& normvec, NormType type = TwoNorm )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); }

    //@}

    //! @name Initialization methods
    //@{
    /*! \brief Copy the vectors in \c A to a set of vectors in \c mv indicated by the indices given in \c index.

    The \c numvecs vectors in \c A are copied to a subset of vectors in \c mv indicated by the indices given in \c index,
    i.e.<tt> mv[index[i]] = A[i]</tt>.
    */
    static void SetBlock( const MV& A, const std::vector<int>& index, MV& mv )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); }

    /// \brief Deep copy of A into specified columns of mv
    ///
    /// (Deeply) copy the first <tt>index.size()</tt> columns of \c A
    /// into the columns of \c mv specified by the given index range.
    ///
    /// Postcondition: <tt>mv[i] = A[i - index.lbound()]</tt>
    /// for all <tt>i</tt> in <tt>[index.lbound(), index.ubound()]</tt>
    ///
    /// \param A [in] Source multivector
    /// \param index [in] Inclusive index range of columns of mv;
    ///   index set of the target
    /// \param mv [out] Target multivector
    static void SetBlock( const MV& A, const Teuchos::Range1D& index, MV& mv )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); }

    /// \brief mv := A
    ///
    /// Assign (deep copy) A into mv.
    static void Assign( const MV& A, MV& mv )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); }

    /*! \brief Replace the vectors in \c mv with random vectors.
     */
    static void MvRandom( MV& mv )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); }

    /*! \brief Replace each element of the vectors in \c mv with \c alpha.
     */
    static void MvInit( MV& mv, const ScalarType alpha = Teuchos::ScalarTraits<ScalarType>::zero() )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); }

    //@}

    //! @name Print method
    //@{

    /*! \brief Print the \c mv multi-vector to the \c os output stream.
     */
    static void MvPrint( const MV& mv, std::ostream& os )
    { UndefinedMultiVecTraits<ScalarType, MV>::notDefined(); }

    //@}

#ifdef HAVE_BELOS_TSQR
    /// \typedef tsqr_adaptor_type
    /// \brief TsqrAdaptor specialization for the multivector type MV.
    ///
    /// By default, we provide a "stub" implementation.  It has the
    /// right methods and typedefs, but its constructors and methods
    /// all throw std::logic_error.  If you plan to use TSQR in Belos
    /// (e.g., through TsqrOrthoManager or TsqrMatOrthoManager), and
    /// if your multivector type MV is neither Epetra_MultiVector nor
    /// Tpetra::MultiVector, you must implement a functional TSQR
    /// adapter.  Please refer to Epetra::TsqrAdapter (for
    /// Epetra_MultiVector) or Tpetra::TsqrAdaptor (for
    /// Tpetra::MultiVector) for examples.
    typedef Belos::details::StubTsqrAdapter<MV> tsqr_adaptor_type;
#endif // HAVE_BELOS_TSQR
  };

} // namespace Belos

#endif // BELOS_MULTI_VEC_TRAITS_HPP