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MoochoPack_MeritFunc_PenaltyParamUpdateWithMult_AddedStep.cpp
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1 #if 0
2 
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43 
44 #include <ostream>
45 #include <typeinfo>
46 
49 #include "ConstrainedOptPack/src/VectorWithNorms.h"
50 
51 namespace MoochoPack {
52 
54  const merit_func_ptr_t& merit_func, value_type small_mu
55  , value_type mult_factor, value_type kkt_near_sol )
56  : MeritFunc_PenaltyParamUpdateGuts_AddedStep(merit_func,small_mu,mult_factor,kkt_near_sol)
57 {}
58 
59 // Overridden from MeritFunc_PenaltyParamUpdateGuts_AddedStep
60 
62  NLPAlgoState& s, value_type* min_mu ) const
63 {
64  if ( s.lambda().updated_k(0) ) {
65  *min_mu = s.lambda().get_k(0).norm_inf();
66  return true;
67  }
68  return false;
69 }
70 
72  std::ostream& out, const std::string& L ) const
73 {
74  out
75  << L << "if lambda_k is updated then\n"
76  << L << " min_mu = norm( lambda_k, inf )\n"
77  << L << " update_mu = true\n"
78  << L << "else\n"
79  << L << " update_mu = false\n"
80  << L << "endif\n"
81  ;
82 }
83 
84 } // end namespace MoochoPack
85 
86 #endif // 0
bool min_mu(NLPAlgoState &s, value_type *min_mu) const
void print_min_mu_step(std::ostream &out, const std::string &leading_str) const
MeritFunc_PenaltyParamUpdateWithMult_AddedStep(const merit_func_ptr_t &merit_func, value_type small_mu=1e-6, value_type mult_factor=1e-4, value_type kkt_near_sol=1.0)
std::ostream * out
AbstractLinAlgPack::value_type value_type