/usr/include/trilinos/Stokhos_AdaptivityManager.hpp

// $Id$ 
// $Source$ 
// @HEADER
// ***********************************************************************
// 
//                           Stokhos Package
//                 Copyright (2009) 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.
// 
// 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 Eric T. Phipps (etphipp@sandia.gov).
// 
// ***********************************************************************
// @HEADER

#ifndef STOKHOS_AdaptivityManager_HPP
#define STOKHOS_AdaptivityManager_HPP

#include "Stokhos_config.h"
#include "Stokhos_OrthogPolyBasis.hpp"
#include "Stokhos_ProductBasis.hpp"
#include "Stokhos_SGOperator.hpp"
#include "Stokhos_EpetraVectorOrthogPoly.hpp"
#include "Stokhos_EpetraOperatorOrthogPoly.hpp"

#include "Epetra_Map.h"
#include "Epetra_CrsGraph.h"
#include "Epetra_CrsMatrix.h"

#include "Teuchos_RCP.hpp"
#include "Teuchos_Array.hpp"

#include <vector>

#ifdef HAVE_STOKHOS_BOOST
#include <boost/unordered_map.hpp>
#endif

namespace Stokhos {

   /** Describes and constructs all things needed for adaptivity.
     */
   class AdaptivityManager {
   public:
      AdaptivityManager(
         const Teuchos::RCP<const Stokhos::ProductBasis<int,double> >& sg_master_basis,
         const std::vector<Teuchos::RCP<const Stokhos::ProductBasis<int,double> > > & sg_basis_row_dof,
         const Epetra_CrsGraph & determ_graph, 
         bool onlyUseLinear,int kExpOrder,
         bool scaleOp=true);

      AdaptivityManager(
         const Teuchos::RCP<const Stokhos::ProductBasis<int,double> >& sg_master_basis,
         const std::vector<Teuchos::RCP<const Stokhos::ProductBasis<int,double> > > & sg_basis_row_dof,
         const Epetra_Comm & comm,
         bool scaleOp=true);

      /** Given a deterministic local column ID and a basis index
        * determine the global column ID in the fully assembled system.
        *
        * \param[in] determLid Deterministic local column ID
        * \param[in] basisIndex Index into the stochastic basis
        *                       associated with this column ID.
        *
        * \returns Associated index in the global system.
        *
        * \note basisIndex must be less than getRowStochasticBasisSize(determLid)
        */
      inline int getGlobalColId(int determLid,int basisIndex) const
      { return myColGidOffsets_[determLid]+basisIndex; }

      /** Given a deterministic local row ID and a basis index
        * determine the global row ID in the fully assembled system.
        *
        * \param[in] determLid Deterministic local row ID
        * \param[in] basisIndex Index into the stochastic basis
        *                       associated with this row ID.
        *
        * \returns Associated index in the global system.
        *
        * \note basisIndex must be less than getRowStochasticBasisSize(determLid)
        */
      inline int getGlobalRowId(int determLid,int basisIndex) const
      { return myRowGidOffsets_[determLid]+basisIndex; }

      /** Build a CRS matrix from the internally constructed graph
        */
      Teuchos::RCP<Epetra_CrsMatrix> buildMatrixFromGraph() const;

      /** Build a CRS graph from a determinstic graph
        */
      void setupWithGraph(const Epetra_CrsGraph & graph,bool onlyUseLinear,int kExpOrder);

      /** Get map associated with this set of adaptive indices
        */
      Teuchos::RCP<const Epetra_Map> getAdaptedMap() const
      { return rowMap_; }

      /** Setup operator
        */
      void setupOperator(Epetra_CrsMatrix & A,const Sparse3Tensor<int,double> & Cijk,Stokhos::EpetraOperatorOrthogPoly & poly,
                         bool onlyUseLinear=false,bool includeMean=true) const;

      /** Sum into a matrix constructed from <code>buildMatrixFromGraph</code>
        * using the Cjik tensor a matrix J_k
        */ 
      void sumInOperator(Epetra_CrsMatrix & A,const Stokhos::Sparse3Tensor<int,double> & Cijk,int k,const Epetra_CrsMatrix & J_k) const;

      /** Copy to an adaptive vector from a set of blocked vectors
        */
      void copyToAdaptiveVector(const Stokhos::EpetraVectorOrthogPoly & x_sg,Epetra_Vector & x) const;

      /** Copy from an adaptive vector to a set of blocked vectors
        */
      void copyFromAdaptiveVector(const Epetra_Vector & x,Stokhos::EpetraVectorOrthogPoly & x_sg) const;

      /** How many stochastic degrees of freedom are associated
        * with a particular deterministic row degree of freedom.
        */
      int getRowStochasticBasisSize(int determLid) const
      { return sg_basis_row_dof_[determLid]->size(); }
  
      /** How many stochastic degrees of freedom are associated
        * with a particular deterministic row degree of freedom.
        */
      int getColStochasticBasisSize(int determLid) const
      { return sg_basis_col_dof_[determLid]->size(); }
  
      /** Get master stochastic basis
        */
      Teuchos::RCP<const Stokhos::ProductBasis<int,double> > getMasterStochasticBasis() const
      { return sg_master_basis_; } 
  
      /** Get stochastic basis associated with a particular deterministic row local id.
        */
      Teuchos::RCP<const Stokhos::ProductBasis<int,double> > getRowStochasticBasis(int determLid) const
      { return sg_basis_row_dof_[determLid]; } 

      /** Get the vector of row stochastic basis functions.
        */
      const std::vector<Teuchos::RCP<const Stokhos::ProductBasis<int,double> > > & getRowStochasticBasis() const
      { return sg_basis_row_dof_; } 
  
      /** Get stochastic basis associated with a particular deterministic column local id.
        */
      Teuchos::RCP<const Stokhos::ProductBasis<int,double> > getColStochasticBasis(int determLid) const
      { return sg_basis_col_dof_[determLid]; } 

      bool isScaled() 
      { return scaleOp_; }

   private:

      /** This class builds a hash table from a Sparse3Tensor. This
        * then replaces the Sparse3Tensor::getValue with a fast hashed
        * version of getValue. Of course this only works with boost, and
        * if boost is installed other wise getValue is called directly
        */
      class Sparse3TensorHash {
      public:
         Sparse3TensorHash(const Stokhos::Sparse3Tensor<int,double> & Cijk);
   
         double getValue(int i,int j,int k) const; 

      private:
         #ifdef HAVE_STOKHOS_BOOST
         struct IJK {
            int i_,j_,k_;
            IJK(int i,int j,int k) : i_(i), j_(j), k_(k) {}

            bool operator==(const IJK & ijk) const
            { return i_==ijk.i_ && j_==ijk.j_ && k_==ijk.k_; }
         };

         struct IJKHash {
            std::size_t operator()(const IJK & ijk) const;
         };

         boost::unordered_map<IJK,double,IJKHash> hashMap_;
         #else
         const Stokhos::Sparse3Tensor<int,double> & Cijk_;
         #endif
      };

      /** Sum into a matrix constructed from <code>buildMatrixFromGraph</code>
        * using the Sparse3TensorHash if boost is enabled Cjik tensor a matrix J_k
        */ 
      void sumInOperator(Epetra_CrsMatrix & A,const Sparse3TensorHash & Cijk,int k,const Epetra_CrsMatrix & J_k) const;

      Teuchos::RCP<const Stokhos::ProductBasis<int,double> > sg_master_basis_;
      std::vector<Teuchos::RCP<const Stokhos::ProductBasis<int,double> > > sg_basis_row_dof_;
      std::vector<Teuchos::RCP<const Stokhos::ProductBasis<int,double> > > sg_basis_col_dof_;

      std::vector<int> myRowGidOffsets_;
      std::vector<int> myColGidOffsets_;

      Teuchos::RCP<Epetra_CrsGraph> graph_;
      Teuchos::RCP<Epetra_Map> rowMap_;

      bool scaleOp_;
   };
    
} // namespace Stokhos

#endif // STOKHOS_AdaptivityUtils_HPP
libtrilinos-stokhos-dev 12.10.1-3 / usr / include / trilinos / Stokhos_AdaptivityManager.hpp
