ConstrainedOptPack_MeritFuncCalcNLP.cpp

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#include "ConstrainedOptPack_MeritFuncCalcNLP.hpp"
#include "DenseLinAlgPack_DVectorClass.hpp"

namespace ConstrainedOptPack {

MeritFuncCalcNLP::MeritFuncCalcNLP( const MeritFuncNLP* phi, const NLP* nlp )
  : phi_(phi), nlp_(nlp)
{}

value_type MeritFuncCalcNLP::operator()(const Vector& x) const
{
  const size_type
    m  = nlp().m(),
    ns = nlp().ns();
  nlp().calc_f(x);
  if(m)  nlp().calc_c(x,false);
  return phi().value(
    nlp().f()
    ,m  ? &nlp().c()  : NULL
    ,NULL  // h
    ,NULL  // hl
    ,NULL  // hu
    );
/* RAB: 20020112: ToDo: Get this working
  if(m)  nlp().calc_c_breve(x,false);
  if(ns) nlp().calc_h_breve(x,false);
  return phi().value(
    nlp().f()
    ,m  ? &nlp().c_breve()  : NULL
    ,ns ? &nlp().h_breve()  : NULL
    ,ns ? &nlp().hl_breve() : NULL
    ,ns ? &nlp().hu_breve() : NULL
    );
*/
}

value_type MeritFuncCalcNLP::deriv() const {
  return phi().deriv();
}

void MeritFuncCalcNLP::print_merit_func(
  std::ostream& out, const std::string& L
  ) const
{
  out << L << "*** MeritFuncCalcNLP\n"
    << L << "f = f(x), c = c_breve(x_breve), h = h_breve(x_breve)\n";
  phi().print_merit_func(out,L);
}

} // end namespace ConstrainedOptPack