ElementPMeanP.cpp

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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 ElementPMeanP.cpp
 *  \brief
 *  \author Jason Kraftcheck
 */

#include "Mesquite.hpp"
#include "ElementPMeanP.hpp"
#include "ElemSampleQM.hpp"
#include "MsqError.hpp"
#include "PatchData.hpp"

namespace MBMesquite
{

ElementPMeanP::ElementPMeanP( double p, ElemSampleQM* metric ) : PMeanPMetric( p ), mMetric( metric ) {}

ElementPMeanP::~ElementPMeanP() {}

std::string ElementPMeanP::get_name() const
{
    std::string result( "ElementPMeanP(" );
    result += mMetric->get_name();
    result += ")";
    return result;
}

int ElementPMeanP::get_negate_flag() const
{
    return get_quality_metric()->get_negate_flag();
}

bool ElementPMeanP::evaluate( PatchData& pd, size_t handle, double& value, MsqError& err )
{
    ElemSampleQM* qm = get_quality_metric();
    mHandles.clear();
    qm->get_element_evaluations( pd, handle, mHandles, err );
    MSQ_ERRFALSE( err );
    bool result = average( pd, qm, mHandles, value, err );
    return !MSQ_CHKERR( err ) && result;
}

bool ElementPMeanP::evaluate_with_gradient( PatchData& pd,
                                            size_t handle,
                                            double& value,
                                            std::vector< size_t >& indices,
                                            std::vector< Vector3D >& gradient,
                                            MsqError& err )
{
    ElemSampleQM* qm = get_quality_metric();
    mHandles.clear();
    qm->get_element_evaluations( pd, handle, mHandles, err );
    MSQ_ERRFALSE( err );
    bool result = average_with_gradient( pd, qm, mHandles, value, indices, gradient, err );
    return !MSQ_CHKERR( err ) && result;
}

bool ElementPMeanP::evaluate_with_Hessian( PatchData& pd,
                                           size_t handle,
                                           double& value,
                                           std::vector< size_t >& indices,
                                           std::vector< Vector3D >& gradient,
                                           std::vector< Matrix3D >& Hessian,
                                           MsqError& err )
{
    ElemSampleQM* qm = get_quality_metric();
    mHandles.clear();
    qm->get_element_evaluations( pd, handle, mHandles, err );
    MSQ_ERRFALSE( err );
    bool result = average_with_Hessian( pd, qm, mHandles, value, indices, gradient, Hessian, err );
    return !MSQ_CHKERR( err ) && result;
}

bool ElementPMeanP::evaluate_with_Hessian_diagonal( PatchData& pd,
                                                    size_t handle,
                                                    double& value,
                                                    std::vector< size_t >& indices,
                                                    std::vector< Vector3D >& gradient,
                                                    std::vector< SymMatrix3D >& diagonal,
                                                    MsqError& err )
{
    ElemSampleQM* qm = get_quality_metric();
    mHandles.clear();
    qm->get_element_evaluations( pd, handle, mHandles, err );
    MSQ_ERRFALSE( err );
    bool result = average_with_Hessian_diagonal( pd, qm, mHandles, value, indices, gradient, diagonal, err );
    return !MSQ_CHKERR( err ) && result;
}

}  // namespace MBMesquite