/usr/include/trilinos/Teko_LU2x2InverseOp.hpp is in libtrilinos-teko-dev 12.12.1-5.
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/** \file Teko_LU2x2InverseOp.hpp
*
* File that implements the inverse of a block 2x2 LU decomposition.
*/
#ifndef __Teko_LU2x2InverseOp_hpp__
#define __Teko_LU2x2InverseOp_hpp__
#include "Teko_Utilities.hpp"
#include "Teko_BlockImplicitLinearOp.hpp"
namespace Teko {
/** \brief This linear operator approximates the inverse
* of a block \f$ 2\times 2 \f$ operator using a
* block \f$ LDU \f$ decomposition.
*
* For a matrix that is blocked like
*
* \f$ A = \left[\begin{array}{cc}
* A_{00} & A_{01} \\
* A_{10} & A_{11}
* \end{array}\right] \f$
*
* this class evaluates the \f$A^{-1}\f$ given \f$A_{00}^{-1}\f$ and the inverse of
* the Schur complement. The \f$ LDU \f$ factorization is defined as
*
* \f$
* A = \left[ \begin{array}{cc}
* I & 0 \\
* A_{10} A_{00}^{-1} & I
* \end{array} \right]
* \left[ \begin{array}{cc}
* A_{00} & 0 \\
* 0 & -S
* \end{array} \right]
* \left[ \begin{array}{cc}
* I & A_{00}^{-1} A_{01} \\
* 0 & I
* \end{array} \right]\f$
*
* where the Schur complement is \f$ S=-A_{11}+A_{10} A_{00}^{-1} A_{01} \f$ .
* In order to do this 2 evaluations of \f$ A_{00}^{-1} \f$ and a single
* evalution of \f$ S^{-1} \f$ are needed. For increased flexibility both
* evaluations of \f$A_{00}^{-1}\f$ can be specified independently.
* For righthand side vector \f$[f, g]^T\f$ and solution vector \f$[u,v]^T\f$
* the two inverses (\f$A\f$-hat and \f$A\f$-tilde) are needed to evaluate
*
* \f$\hat{A}_{00} u^* = f\f$,
*
* \f$\tilde{A}_{00} v = A_{01} v\f$
*
* where \f$u^*\f$ is an intermediate step.
*/
class LU2x2InverseOp : public BlockImplicitLinearOp {
public:
/** \brief This constructor explicitly takes the parts of \f$ A \f$ required to
* build the inverse operator.
*
* This constructor explicitly takes the parts of \f$ A \f$ required to build
* the inverse operator.
*
* \param[in] A The block \f$ 2 \times 2 \f$ \f$A\f$ operator.
* \param[in] invA00 An approximate inverse of \f$ A_{00} \f$, used for both \f$\hat{A}_{00}\f$ and \f$\tilde{A}_{00}\f$
* \param[in] invS An approximate inverse of \f$ S = -A_{11} + A_{10} A_{00}^{-1} A_{01} \f$.
*/
LU2x2InverseOp(const BlockedLinearOp & A,
const LinearOp & invA00,
const LinearOp & invS);
/** \brief This constructor explicitly takes the parts of \f$ A \f$ required to
* build the inverse operator.
*
* This constructor explicitly takes the parts of \f$ A \f$ required to build
* the inverse operator.
*
* \param[in] A The block \f$ 2 \times 2 \f$ \f$A\f$ operator.
* \param[in] hatInvA00 An approximate inverse of \f$ \hat{A}_{00} \f$
* \param[in] tildeInvA00 An approximate inverse of \f$ \tilde{A}_{00} \f$
* \param[in] invS An approximate inverse of \f$ S = -A_{11} + A_{10} A_{00}^{-1} A_{01} \f$.
*/
LU2x2InverseOp(const BlockedLinearOp & A,
const LinearOp & hatInvA00,
const LinearOp & tildeInvA00,
const LinearOp & invS);
//! \name Inherited methods from Thyra::LinearOpBase
//@{
/** @brief Range space of this operator */
virtual VectorSpace range() const { return productRange_; }
/** @brief Domain space of this operator */
virtual VectorSpace domain() const { return productDomain_; }
/** @brief Perform a matrix vector multiply with this operator.
*
* The <code>apply</code> function takes one vector as input
* and applies the inverse \f$ LDU \f$ decomposition. The result
* is returned in \f$y\f$. If this operator is reprsented as \f$M\f$ then
* \f$ y = \alpha M x + \beta y \f$ (ignoring conjugation!).
*
* @param[in] x
* @param[in,out] y
* @param[in] alpha (default=1)
* @param[in] beta (default=0)
*/
virtual void implicitApply(const BlockedMultiVector & x, BlockedMultiVector & y,
const double alpha = 1.0, const double beta = 0.0) const;
//@}
virtual void describe(Teuchos::FancyOStream & out_arg,
const Teuchos::EVerbosityLevel verbLevel) const;
protected:
using BlockImplicitLinearOp::implicitApply;
// fundamental operators to use
const BlockedLinearOp A_; ///< operator \f$ A \f$
const LinearOp hatInvA00_; ///< inverse of \f$ A_{00} \f$
const LinearOp tildeInvA00_; ///< inverse of \f$ A_{00} \f$
const LinearOp invS_; ///< inverse of \f$ S \f$
// some blocks of A
const LinearOp A10_; ///< operator \f$ A_{10} \f$
const LinearOp A01_; ///< operator \f$ A_{01} \f$
Teuchos::RCP<const Thyra::ProductVectorSpaceBase<double> > productRange_; ///< Range vector space.
Teuchos::RCP<const Thyra::ProductVectorSpaceBase<double> > productDomain_; ///< Domain vector space.
private:
// hide me!
LU2x2InverseOp();
LU2x2InverseOp(const LU2x2InverseOp &);
};
/** \brief Constructor method for building <code>LU2x2InverseOp</code>.
*
* Constructor method for building <code>LU2x2InverseOp</code>.
*
* \param[in] A 2x2 Operator to be decomposed
* \param[in] invA00 Approximate inverse of the operators \f$(0,0)\f$ block.
* \param[in] invS Approximate inverse of the Schur complement
*
* \returns A linear operator that behaves like the inverse of the
* LU decomposition.
*
* \relates LU2x2InverseOp
*/
inline LinearOp createLU2x2InverseOp(BlockedLinearOp & A,LinearOp & invA00,LinearOp & invS)
{
return Teuchos::rcp(new LU2x2InverseOp(A,invA00,invS));
}
/** \brief Constructor method for building <code>LU2x2InverseOp</code>.
*
* Constructor method for building <code>LU2x2InverseOp</code>.
*
* \param[in] A 2x2 Operator to be decomposed
* \param[in] invA00 Approximate inverse of the operators \f$(0,0)\f$ block.
* \param[in] invS Approximate inverse of the Schur complement
* \param[in] str String to label the operator
*
* \returns A linear operator that behaves like the inverse of the
* LU decomposition.
*
* \relates LU2x2InverseOp
*/
inline LinearOp createLU2x2InverseOp(BlockedLinearOp & A,LinearOp & invA00,LinearOp & invS,const std::string & str)
{
Teuchos::RCP<Thyra::LinearOpBase<double> > result = Teuchos::rcp(new LU2x2InverseOp(A,invA00,invS));
result->setObjectLabel(str);
return result;
}
/** \brief Constructor method for building <code>LU2x2InverseOp</code>.
*
* Constructor method for building <code>LU2x2InverseOp</code>.
*
* \param[in] A 2x2 Operator to be decomposed
* \param[in] hatInvA00 First approximate inverse of the operators \f$(0,0)\f$ block.
* \param[in] tildeInvA00 Second approximate inverse of the operators \f$(0,0)\f$ block.
* \param[in] invS Approximate inverse of the Schur complement
*
* \returns A linear operator that behaves like the inverse of the
* LU decomposition.
*
* \relates LU2x2InverseOp
*/
inline LinearOp createLU2x2InverseOp(BlockedLinearOp & A,LinearOp & hatInvA00,LinearOp & tildeInvA00,LinearOp & invS)
{
return Teuchos::rcp(new LU2x2InverseOp(A,hatInvA00,tildeInvA00,invS));
}
/** \brief Constructor method for building <code>LU2x2InverseOp</code>.
*
* Constructor method for building <code>LU2x2InverseOp</code>.
*
* \param[in] A 2x2 Operator to be decomposed
* \param[in] hatInvA00 First approximate inverse of the operators \f$(0,0)\f$ block.
* \param[in] tildeInvA00 Second approximate inverse of the operators \f$(0,0)\f$ block.
* \param[in] invS Approximate inverse of the Schur complement
* \param[in] str String to label the operator
*
* \returns A linear operator that behaves like the inverse of the
* LU decomposition.
*
* \relates LU2x2InverseOp
*/
inline LinearOp createLU2x2InverseOp(BlockedLinearOp & A,LinearOp & hatInvA00,LinearOp & tildeInvA00,LinearOp & invS,const std::string & str)
{
Teuchos::RCP<Thyra::LinearOpBase<double> > result = Teuchos::rcp(new LU2x2InverseOp(A,hatInvA00,tildeInvA00,invS));
result->setObjectLabel(str);
return result;
}
} // end namespace Teko
#endif
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