ScalarMultiplyQualityMetric.cpp

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

    Copyright 2004 Sandia Corporation and Argonne National
    Laboratory.  Under the terms of Contract DE-AC04-94AL85000
    with Sandia Corporation, the U.S. Government retains certain
    rights in 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

    [email protected], [email protected], [email protected],
    [email protected], [email protected], [email protected]

  ***************************************************************** */
/*!
  \file   ScalarMultiplyQualityMetric.cpp
  \brief

  \author Todd Munson
  \date   2004-12-21
*/

#include "ScalarMultiplyQualityMetric.hpp"
#include "Vector3D.hpp"
#include "Matrix3D.hpp"
#include "MsqError.hpp"

using namespace MBMesquite;

std::string ScalarMultiplyQualityMetric::get_name() const
{
    return std::string( "Scale(" ) + mMetric->get_name() + ")";
}

void ScalarMultiplyQualityMetric::get_evaluations( PatchData& pd,
                                                   std::vector< size_t >& handles,
                                                   bool free_vertices_only,
                                                   MsqError& err )
{
    mMetric->get_evaluations( pd, handles, free_vertices_only, err );MSQ_CHKERR( err );
}

bool ScalarMultiplyQualityMetric::evaluate( PatchData& pd, size_t handle, double& value, MsqError& err )
{
    bool rval = mMetric->evaluate( pd, handle, value, err );
    value *= mScale;
    return rval;
}

bool ScalarMultiplyQualityMetric::evaluate_with_indices( PatchData& pd,
                                                         size_t handle,
                                                         double& value,
                                                         std::vector< size_t >& indices,
                                                         MsqError& err )
{
    bool rval = mMetric->evaluate_with_indices( pd, handle, value, indices, err );
    value *= mScale;
    return !MSQ_CHKERR( err ) && rval;
}

bool ScalarMultiplyQualityMetric::evaluate_with_gradient( PatchData& pd,
                                                          size_t handle,
                                                          double& value,
                                                          std::vector< size_t >& indices,
                                                          std::vector< Vector3D >& gradient,
                                                          MsqError& err )
{
    bool rval = mMetric->evaluate_with_gradient( pd, handle, value, indices, gradient, err );
    value *= mScale;
    for( std::vector< Vector3D >::iterator i = gradient.begin(); i != gradient.end(); ++i )
        *i *= mScale;
    return !MSQ_CHKERR( err ) && rval;
}

bool ScalarMultiplyQualityMetric::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 )
{
    bool rval = mMetric->evaluate_with_Hessian( pd, handle, value, indices, gradient, Hessian, err );
    value *= mScale;
    for( std::vector< Vector3D >::iterator i = gradient.begin(); i != gradient.end(); ++i )
        *i *= mScale;
    for( std::vector< Matrix3D >::iterator j = Hessian.begin(); j != Hessian.end(); ++j )
        *j *= mScale;
    return !MSQ_CHKERR( err ) && rval;
}