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// @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
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// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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// Questions? Contact Eric T. Phipps (etphipp@sandia.gov).
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// @HEADER

#ifndef STOKHOS_SGINVERSEMODELEVALUATOR_HPP
#define STOKHOS_SGINVERSEMODELEVALUATOR_HPP

#include "EpetraExt_ModelEvaluator.h"
#include "Teuchos_RCP.hpp"
#include "Teuchos_Array.hpp"

namespace Stokhos {

  //! Nonlinear, inverse stochastic Galerkin ModelEvaluator
  /*!
   * SGInverseModelEvaluator is an implementation of EpetraExt::ModelEvaluator
   * that does the inverse of SGModelEvalutor, namely it takes SG versions of
   * the p InArgs and g and dg/dp OutArgs, and converts them to block vectors
   * that are passed to the underlying model evaluator.  This allows block
   * nonlinear problems to appear to SG problems.
   */
  class SGInverseModelEvaluator : public EpetraExt::ModelEvaluator {
  public:

    // Constructor
    SGInverseModelEvaluator(
      const Teuchos::RCP<EpetraExt::ModelEvaluator>& me,
      const Teuchos::Array<int>& sg_p_index_map,
      const Teuchos::Array<int>& sg_g_index_map,
      const Teuchos::Array< Teuchos::RCP<const Epetra_Map> >& base_g_maps);

    /** \name Overridden from EpetraExt::ModelEvaluator . */
    //@{

    //! Return solution vector map
    Teuchos::RCP<const Epetra_Map> get_x_map() const;

    //! Return residual vector map
    Teuchos::RCP<const Epetra_Map> get_f_map() const;

    //! Return parameter vector map
    Teuchos::RCP<const Epetra_Map> get_p_map(int l) const;

    //! Return response map
    Teuchos::RCP<const Epetra_Map> get_g_map(int l) const;

    //! Return array of parameter names
    Teuchos::RCP<const Teuchos::Array<std::string> > 
    get_p_names(int l) const;

    //! Return initial parameters
    Teuchos::RCP<const Epetra_Vector> get_p_init(int l) const;

    //! Create InArgs
    InArgs createInArgs() const;

    //! Create OutArgs
    OutArgs createOutArgs() const;

    //! Evaluate model on InArgs
    void evalModel(const InArgs& inArgs, const OutArgs& outArgs) const;

    //@}

  protected:

    //! Underlying model evaluator
    Teuchos::RCP<EpetraExt::ModelEvaluator> me;

    //! Mapping between stochastic block parameters and sg parameters
    Teuchos::Array<int> sg_p_index_map;

    //! Mapping between stochastic block responses and sg responses
    Teuchos::Array<int> sg_g_index_map;

    //! Base maps of block g vectors
    Teuchos::Array< Teuchos::RCP<const Epetra_Map> > base_g_maps;

    //! Number of parameters
    int num_p;

    //! Number of responses
    int num_g;

    //! Number of stochastic parameter vectors
    int num_p_sg;

    //! Number of stochastic response vectors
    int num_g_sg;

  };

}

#endif // STOKHOS_SGMODELEVALUATOR_HPP