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// ***********************************************************************
//
// Teuchos: Common Tools Package
// Copyright (2004) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
// license for use of this work by or on behalf of the U.S. Government.
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as
// published by the Free Software Foundation; either version 2.1 of the
// License, or (at your option) any later version.
//
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License along with this library; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
// USA
// Questions? Contact Michael A. Heroux (maherou@sandia.gov)
//
// ***********************************************************************
// @HEADER
#ifndef _TEUCHOS_SERIALDENSEHELPERS_HPP_
#define _TEUCHOS_SERIALDENSEHELPERS_HPP_
/*! \file Teuchos_SerialDenseHelpers.hpp
\brief Non-member helper functions on the templated serial, dense matrix/vector classes.
*/
#include "Teuchos_ScalarTraits.hpp"
#include "Teuchos_DataAccess.hpp"
#include "Teuchos_ConfigDefs.hpp"
#include "Teuchos_TestForException.hpp"
#include "Teuchos_SerialDenseMatrix.hpp"
#include "Teuchos_SerialSymDenseMatrix.hpp"
#include "Teuchos_SerialDenseVector.hpp"
namespace Teuchos {
/*! \relates SerialSymDenseMatrix
\brief A templated, non-member, helper function for computing the matrix triple-product: B = alpha*W^T*A*W or B = alpha*W*A*W^T.
\param transw - [in] Compute B = alpha*W^T*A*W if transw = Teuchos::TRANS, else compute B = alpha*W*A*W^T if transw = Teuchos::NOTRANS.
\param alpha - [in] The scaling factor.
\param A - [in] SerialSymDenseMatrix
\param W - [in] SerialDenseMatrix
\param B - [out] SerialSymDenseMatrix
\note The syntax for calling this function is: <tt> Teuchos::symMatTripleProduct<int,double>( Teuchos::TRANS, alpha, A, W, B ) </tt>
*/
template<typename OrdinalType, typename ScalarType>
void symMatTripleProduct( ETransp transw, const ScalarType alpha, const SerialSymDenseMatrix<OrdinalType, ScalarType>& A,
const SerialDenseMatrix<OrdinalType, ScalarType>& W, SerialSymDenseMatrix<OrdinalType, ScalarType>& B )
{
// Local variables.
// Note: dimemensions of W are obtained so we can compute W^T*A*W for either cases.
OrdinalType A_nrowcols = A.numRows(); // A is a symmetric matrix and is assumed square.
OrdinalType B_nrowcols = (ETranspChar[transw]!='N') ? W.numCols() : W.numRows();
OrdinalType W_nrows = (ETranspChar[transw]!='N') ? W.numRows() : W.numCols();
OrdinalType W_ncols = (ETranspChar[transw]!='N') ? W.numCols() : W.numRows();
bool isBUpper = B.upper();
// Check for consistent dimensions.
TEST_FOR_EXCEPTION( B_nrowcols != B.numRows(), std::out_of_range,
"Teuchos::symMatTripleProduct<>() : "
"Num Rows/Cols B (" << B.numRows() << ") inconsistent with W ("<< B_nrowcols << ")");
TEST_FOR_EXCEPTION( A_nrowcols != W_nrows, std::out_of_range,
"Teuchos::symMatTripleProduct<>() : "
"Num Rows/Cols A (" << A_nrowcols << ") inconsistent with W ("<< W_nrows << ")");
// Scale by zero, initialized B to zeros and return.
if ( alpha == ScalarTraits<ScalarType>::zero() )
{
B.putScalar();
return;
}
// Workspace.
SerialDenseMatrix<OrdinalType, ScalarType> AW;
// BLAS class.
BLAS<OrdinalType, ScalarType> blas;
ScalarType one = Teuchos::ScalarTraits<ScalarType>::one();
ScalarType zero = Teuchos::ScalarTraits<ScalarType>::zero();
// Separate two cases because BLAS only supports symmetric matrix-matrix multply w/o transposes.
if (ETranspChar[transw]!='N') {
// Size AW to compute A*W
AW.shapeUninitialized(A_nrowcols,W_ncols);
// A*W
AW.multiply( Teuchos::LEFT_SIDE, alpha, A, W, ScalarTraits<ScalarType>::zero() );
// B = W^T*A*W
if (isBUpper) {
for (int j=0; j<B_nrowcols; ++j)
blas.GEMV( transw, W_nrows, j+1, one, W.values(), W.stride(), AW[j], 1, zero, &B(0,j), 1 );
}
else {
for (int j=0; j<B_nrowcols; ++j)
blas.GEMV( transw, W_nrows, B_nrowcols-j, one, W[j], W.stride(), AW[j], 1, zero, &B(j,j), 1 );
}
}
else {
// Size AW to compute W*A
AW.shapeUninitialized(W_ncols, A_nrowcols);
// W*A
AW.multiply( Teuchos::RIGHT_SIDE, alpha, A, W, ScalarTraits<ScalarType>::zero() );
// B = W*A*W^T
if (isBUpper) {
for (int j=0; j<B_nrowcols; ++j)
for (int i=0; i<=j; ++i)
blas.GEMV( transw, 1, A_nrowcols, one, &AW(i,0), AW.stride(), &W(j,0), W.stride(), zero, &B(i,j), 1 );
}
else {
for (int j=0; j<B_nrowcols; ++j)
for (int i=j; i<B_nrowcols; ++i)
blas.GEMV( transw, 1, A_nrowcols, one, &AW(i,0), AW.stride(), &W(j,0), W.stride(), zero, &B(i,j), 1 );
}
}
return;
}
/*! \relates SerialDenseMatrix
\brief A templated, non-member, helper function for viewing or copying a column of a SerialDenseMatrix as a SerialDenseVector.
\param CV - [in] Enumerated type set to Teuchos::Copy or Teuchos::View
\param A - [in] SerialDenseMatrix
\param col - [in] Integer indicating which column of A to return
\note The syntax for calling this function is: <tt>Teuchos::SerialDenseVector<int,double> col_j = Teuchos::getCol<int,double>( Teuchos::View, A, j )</tt>
*/
template<typename OrdinalType, typename ScalarType>
SerialDenseVector<OrdinalType,ScalarType>
getCol( DataAccess CV, SerialDenseMatrix<OrdinalType, ScalarType>& A, const OrdinalType col )
{
return SerialDenseVector<OrdinalType, ScalarType>(CV, A[col], A.numRows());
}
/*! \relates SerialDenseMatrix
\brief A templated, non-member, helper function for setting a SerialDenseMatrix column using a SerialDenseVector.
\param v - [in] SerialDenseVector
\param col - [in] Integer indicating which column of A to replace with v
\param A - [out] SerialDenseMatrix
\note The syntax for calling this function is: bool err = Teuchos::setCol<int,double>( v, j, A )</tt>
*/
template<typename OrdinalType, typename ScalarType>
bool setCol( const SerialDenseVector<OrdinalType, ScalarType>& v,
const OrdinalType col,
SerialDenseMatrix<OrdinalType, ScalarType>& A )
{
if (v.length() != A.numRows()) return false;
std::copy(v.values(),v.values()+v.length(),A[col]);
return true;
}
} // namespace Teuchos
#endif /* _TEUCHOS_SERIALDENSEHELPERS_HPP_ */
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