ConstrainedOptPack: C++ Tools for Constrained (and Unconstrained) Optimization Version of the Day
ConstrainedOptPack_MeritFuncCalcNLP.cpp
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00004 // Moocho: Multi-functional Object-Oriented arCHitecture for Optimization
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00041 
00042 #include "ConstrainedOptPack_MeritFuncCalcNLP.hpp"
00043 #include "DenseLinAlgPack_DVectorClass.hpp"
00044 
00045 namespace ConstrainedOptPack {
00046 
00047 MeritFuncCalcNLP::MeritFuncCalcNLP( const MeritFuncNLP* phi, const NLP* nlp )
00048   : phi_(phi), nlp_(nlp)
00049 {}
00050 
00051 value_type MeritFuncCalcNLP::operator()(const Vector& x) const
00052 {
00053   const size_type
00054     m  = nlp().m(),
00055     ns = nlp().ns();
00056   nlp().calc_f(x);
00057   if(m)  nlp().calc_c(x,false);
00058   return phi().value(
00059     nlp().f()
00060     ,m  ? &nlp().c()  : NULL
00061     ,NULL  // h
00062     ,NULL  // hl
00063     ,NULL  // hu
00064     );
00065 /* RAB: 20020112: ToDo: Get this working
00066   if(m)  nlp().calc_c_breve(x,false);
00067   if(ns) nlp().calc_h_breve(x,false);
00068   return phi().value(
00069     nlp().f()
00070     ,m  ? &nlp().c_breve()  : NULL
00071     ,ns ? &nlp().h_breve()  : NULL
00072     ,ns ? &nlp().hl_breve() : NULL
00073     ,ns ? &nlp().hu_breve() : NULL
00074     );
00075 */
00076 }
00077 
00078 value_type MeritFuncCalcNLP::deriv() const {
00079   return phi().deriv();
00080 }
00081 
00082 void MeritFuncCalcNLP::print_merit_func(
00083   std::ostream& out, const std::string& L
00084   ) const
00085 {
00086   out << L << "*** MeritFuncCalcNLP\n"
00087     << L << "f = f(x), c = c_breve(x_breve), h = h_breve(x_breve)\n";
00088   phi().print_merit_func(out,L);
00089 }
00090 
00091 } // end namespace ConstrainedOptPack
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