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Util_Abstract_Group.hpp
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Util_Abstract_Group.hpp
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// DFLib: A library of Bearings Only Target Localization algorithms
// Copyright (C) 2009-2015 Thomas V. Russo
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program 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 General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program. If not, see <http://www.gnu.org/licenses/>.
//-------------------------------------------------------------------------
//-------------------------------------------------------------------------
// Filename : $RCSfile$
//
// Purpose : Abstract interface class for use with minimization methods
// of DFLib::Util::Minimizer
//
// Special Notes :
//
// Creator :
//
// Creation Date :
//
// Revision Information:
// ---------------------
//
// Revision Number: $Revision$
//
// Revision Date : $Date$
//
// Current Owner : $Author$
//-------------------------------------------------------------------------
#ifndef UTIL_ABSTRACT_GROUP_HPP
#define UTIL_ABSTRACT_GROUP_HPP
#include "DFLib_port.h"
#include <vector>
namespace DFLib
{
namespace Abstract
{
/// \class Util::Abstract::Group
/// base class for objects to be used with minimization methods
/// Provides an interface for returning function and derivative values
/// at a specified point.
class CPL_DLL Group
{
public:
/// Provide a virtual destructor
virtual ~Group(){};
/// Set the point at which to evaluate the function
virtual void setEvaluationPoint(std::vector<double> &ep) = 0;
/// evaluate the function at the evaluation point
/// \return value of function
virtual double getFunctionValue() = 0;
/// evaluate the function and its gradient at the evaluation point
/// \param gradient STL vector containing gradient on return
/// \return value of function
virtual double
getFunctionValueAndGradient(std::vector<double> &gradient) = 0;
/// evaluate the function and its gradient at the evaluation point
/// \param gradient STL vector containing gradient on return
/// \param hessian contains hessian on return
/// \return value of function
virtual double
getFunctionValueAndHessian(std::vector<double> &gradient,
std::vector<std::vector<double> > &hessian)=0;
};
}
}
#endif