MoochoPack_MeritFunc_PenaltyParamUpdateGuts_AddedStep.hpp

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// Moocho: Multi-functional Object-Oriented arCHitecture for Optimization
//                  Copyright (2003) Sandia Corporation
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// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
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#ifndef MERIT_FUNC_PENALTY_PARAM_UPDATE_GUTS_ADDED_STEP_H
#define MERIT_FUNC_PENALTY_PARAM_UPDATE_GUTS_ADDED_STEP_H

#include "MoochoPack_MeritFunc_PenaltyParamUpdate_AddedStep.hpp"

namespace MoochoPack {

class MeritFunc_PenaltyParamUpdateGuts_AddedStep
  : public MeritFunc_PenaltyParamUpdate_AddedStep
{
public:

  MeritFunc_PenaltyParamUpdateGuts_AddedStep(
    value_type   small_mu
    ,value_type  mult_factor
    ,value_type  kkt_near_sol
    );


  bool do_step(Algorithm& algo, poss_type step_poss, IterationPack::EDoStepType type
    , poss_type assoc_step_poss);
  void print_step( const Algorithm& algo, poss_type step_poss
    , IterationPack::EDoStepType type, poss_type assoc_step_poss
    , std::ostream& out, const std::string& leading_str ) const;



  void small_mu( value_type small_mu );
  value_type small_mu() const;
  void mult_factor( value_type mult_factor );
  value_type mult_factor() const;
  void kkt_near_sol( value_type kkt_near_sol );
  value_type kkt_near_sol() const;
  

protected:


  virtual bool min_mu( NLPAlgoState& s, value_type* min_mu ) const = 0;

  virtual void print_min_mu_step( std::ostream& out
    , const std::string& leading_str ) const = 0;


private:
  bool near_solution_;
  value_type small_mu_;
  value_type mult_factor_;
  value_type kkt_near_sol_;
  
};  // end class MeritFunc_PenaltyParamUpdateGuts_AddedStep

} // end namespace MoochoPack 

#endif  // MERIT_FUNC_PENALTY_PARAM_UPDATE_GUTS_ADDED_STEP_H