Ifpack2_Experimental_RBILUK_decl.hpp

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#ifndef IFPACK2_EXPERIMENTALCRSRBILUK_DECL_HPP
#define IFPACK2_EXPERIMENTALCRSRBILUK_DECL_HPP

#include <Tpetra_Experimental_BlockCrsMatrix.hpp>

#include <Ifpack2_RILUK.hpp>

namespace Ifpack2 {

namespace Experimental {

template <class scalar_type, class impl_scalar_type>
struct BlockMatrixOperations
{

  typedef typename Teuchos::ScalarTraits<scalar_type>::magnitudeType magnitude_type;

  typedef Teuchos::ScalarTraits<magnitude_type> STM;

  void square_matrix_matrix_multiply(const impl_scalar_type * a, const impl_scalar_type * b, impl_scalar_type * c,
      const int nrows, const impl_scalar_type alpha = STM::one(), const impl_scalar_type beta = STM::zero() ) const
  {
    for (int i = 0; i < nrows*nrows; ++i)
      c[i] = beta*c[i];

    for (int i = 0; i < nrows; ++i)
    {

      const int ioffset = i*nrows;
      for (int k = 0; k < nrows; ++k)
      {
        const int koffset = k*nrows;
        const impl_scalar_type val = alpha*a[ioffset+k];
        for (int j = 0; j < nrows; ++j)
        {
          c[ioffset+j] += val*b[koffset+j];
        }
      }
    }

  }


};

template<class MatrixType>
class RBILUK : virtual public Ifpack2::RILUK< Tpetra::RowMatrix< typename MatrixType::scalar_type,
  typename MatrixType::local_ordinal_type, typename MatrixType::global_ordinal_type, typename MatrixType::node_type> >
{
 public:


  typedef typename MatrixType::scalar_type scalar_type;

  //typedef typename MatrixType::impl_scalar_type impl_scalar_type;
  typedef typename MatrixType::scalar_type impl_scalar_type;

  typedef typename MatrixType::local_ordinal_type local_ordinal_type;

  typedef typename MatrixType::global_ordinal_type global_ordinal_type;

  typedef typename MatrixType::node_type node_type;

  typedef typename Teuchos::ScalarTraits<scalar_type>::magnitudeType magnitude_type;

  typedef Tpetra::RowMatrix<scalar_type,
      local_ordinal_type,
      global_ordinal_type,
      node_type> row_matrix_type;

  typedef Tpetra::CrsMatrix<scalar_type,
      local_ordinal_type,
      global_ordinal_type,
      node_type> crs_matrix_type;

  typedef Tpetra::Experimental::BlockCrsMatrix<scalar_type,
                            local_ordinal_type,
                            global_ordinal_type,
                            node_type> block_crs_matrix_type;

  template <class NewMatrixType> friend class RBILUK;


  RBILUK (const Teuchos::RCP<const row_matrix_type>& A_in);

  RBILUK (const Teuchos::RCP<const block_crs_matrix_type>& A_in);

 private:
  RBILUK (const RBILUK<MatrixType> & src);

 public:

  virtual ~RBILUK ();

  void initialize ();

  void compute ();



  // Declare that we intend to overload RILUK::setMatrix, not hide it.
  // This avoids build warnings that the method below "hides
  // overloaded virtual function" (e.g., Clang 3.5).
  //
  // NOTE: If the base class of this class changes, e.g., if its
  // template parameter changes, then be sure to change the code below
  // to refer to the proper base class.
  using RILUK<Tpetra::RowMatrix<typename MatrixType::scalar_type,
                                typename MatrixType::local_ordinal_type,
                                typename MatrixType::global_ordinal_type,
                                typename MatrixType::node_type> >::setMatrix;

  void
  setMatrix (const Teuchos::RCP<const block_crs_matrix_type>& A);



  std::string description () const;



  void
  apply (const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
         Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& Y,
         Teuchos::ETransp mode = Teuchos::NO_TRANS,
         scalar_type alpha = Teuchos::ScalarTraits<scalar_type>::one (),
         scalar_type beta = Teuchos::ScalarTraits<scalar_type>::zero ()) const;

public:

  Teuchos::RCP<const block_crs_matrix_type> getBlockMatrix () const;

  const block_crs_matrix_type& getLBlock () const;

  const block_crs_matrix_type& getDBlock () const;

  const block_crs_matrix_type& getUBlock () const;

private:
  typedef Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type> MV;
  typedef Teuchos::ScalarTraits<impl_scalar_type> STS;
  typedef Teuchos::ScalarTraits<magnitude_type> STM;
  typedef typename block_crs_matrix_type::little_block_type little_block_type;
  typedef typename block_crs_matrix_type::little_vec_type little_vec_type;

  void allocate_L_and_U_blocks();
  void initAllValues (const block_crs_matrix_type& A);

  Teuchos::RCP<const row_matrix_type> A_;

  Teuchos::RCP<const block_crs_matrix_type> A_block_;

  local_ordinal_type blockSize_;

  Teuchos::RCP<block_crs_matrix_type> L_block_;
  Teuchos::RCP<block_crs_matrix_type> U_block_;
  Teuchos::RCP<block_crs_matrix_type> D_block_;

  Teuchos::RCP<block_crs_matrix_type> D_block_inverse_;

  BlockMatrixOperations<scalar_type,impl_scalar_type> blockMatOpts;

  void square_matrix_matrix_multiply(const impl_scalar_type * a, const impl_scalar_type * b, impl_scalar_type * c,
      const int nrows, const impl_scalar_type alpha = STM::one(), const impl_scalar_type beta = STM::zero() ) const
  {
    for (int i = 0; i < nrows*nrows; ++i)
      c[i] = beta*c[i];

    for (int i = 0; i < nrows; ++i)
    {

      const int ioffset = i*nrows;
      for (int k = 0; k < nrows; ++k)
      {
        const int koffset = k*nrows;
        const impl_scalar_type val = alpha*a[ioffset+k];
        for (int j = 0; j < nrows; ++j)
        {
          c[ioffset+j] += val*b[koffset+j];
        }
      }
    }

  }

};


} // namepsace Experimental

} // namespace Ifpack2

#endif /* IFPACK2_EXPERIMENTALCRSRBILUK_DECL_HPP */