VarianceTemplate.hpp

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/* *****************************************************************
    MESQUITE -- The Mesh Quality Improvement Toolkit

    Copyright 2006 Sandia National Laboratories.  Developed at the
    University of Wisconsin--Madison under SNL contract number
    624796.  The U.S. Government and the University of Wisconsin
    retain certain rights to this software.

    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
    (lgpl.txt) along with this library; if not, write to the Free Software
    Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA

    (2006) kraftche@cae.wisc.edu

  ***************************************************************** */

/** \file VarianceTemplate.hpp
 *  \brief
 *  \author Jason Kraftcheck
 */

#ifndef MSQ_VARIANCE_TEMPLATE_HPP
#define MSQ_VARIANCE_TEMPLATE_HPP

#include "Mesquite.hpp"
#include "MsqHessian.hpp"
#include "ObjectiveFunctionTemplate.hpp"

namespace MBMesquite
{

/**\brief (variance)^2 template
 *
 * This class implements an objective function that is the
 * variance of the quality metric evalutations.
 */
class VarianceTemplate : public ObjectiveFunctionTemplate
{
  public:
    MESQUITE_EXPORT
    VarianceTemplate( QualityMetric* qm = 0 ) : ObjectiveFunctionTemplate( qm )
    {
        clear();
    }

    /**\brief copy constructor
     *
     * Define a copy constructor because the compiler-provided
     * default one would also copy the temporary arrays, which
     * would be a waste of time.
     */
    MESQUITE_EXPORT
    VarianceTemplate( const VarianceTemplate& copy )
        : ObjectiveFunctionTemplate( copy ), mCount( copy.mCount ), mSum( copy.mSum ), mSqrSum( copy.mSqrSum ),
          saveCount( copy.saveCount ), saveSum( copy.saveSum ), saveSqrSum( copy.saveSqrSum )
    {
    }

    MESQUITE_EXPORT
    virtual ~VarianceTemplate() {}

    MESQUITE_EXPORT
    virtual bool evaluate( EvalType type, PatchData& pd, double& value_out, bool free, MsqError& err );

    MESQUITE_EXPORT
    virtual bool evaluate_with_gradient( EvalType type,
                                         PatchData& pd,
                                         double& value_out,
                                         std::vector< Vector3D >& grad_out,
                                         MsqError& err );

    MESQUITE_EXPORT
    virtual bool evaluate_with_Hessian_diagonal( EvalType type,
                                                 PatchData& pd,
                                                 double& value_out,
                                                 std::vector< Vector3D >& grad_out,
                                                 std::vector< SymMatrix3D >& hess_diag_out,
                                                 MsqError& err );

    MESQUITE_EXPORT
    virtual ObjectiveFunction* clone() const;

    MESQUITE_EXPORT
    virtual void clear();

  private:
    /**\brief Handle EvalType for all eval functions, return OF value
     *
     * This function implements the common handling of the EvalType
     * argument for all forms of the 'evaluate' method.
     *
     * NOTE:  This function modifies accumulated values depenending
     *        on the value of EvalType.
     *\param sum        The sum over the current patch
     *\param sqr_sum    The sum of squares over the current patch
     *\param count      The number of qm evaluations for the current patch
     *\param type       The evaluation type passed to 'evaluate'
     *\param global_count The total, accumulated number of QM evaluations
     *\param result_sum The sum term of the variance
     *\param result_sqr The sum of squares term of the variance
     */
    void accumulate( double sum,
                     double sqr_sum,
                     size_t count,
                     EvalType type,
                     double& result_sum,
                     double& result_sqr,
                     size_t& global_count );

    size_t mCount;     /**< The number of accumulated entires */
    double mSum;       /**< The runnnig sum of the qualtiy metric valuse */
    double mSqrSum;    /**< The running sum of the square of QM values */
    size_t saveCount;  /**< Saved count from previous patch */
    double saveSum;    /**< Saved sum from previous patch */
    double saveSqrSum; /**< Saved sum from previous patch */

    /** Temporary storage for qm sample handles */
    mutable std::vector< size_t > qmHandles;
    /** Temporary storage for qm vertex indices */
    mutable std::vector< size_t > mIndices;
    /** Temporary storage for qm gradient */
    mutable std::vector< Vector3D > mGradient, gradSum;
    /** Temporary storage for qm Hessian diagonal data */
    mutable std::vector< SymMatrix3D > mHessDiag, hessSum;
};

}  // namespace MBMesquite

#endif