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MoochoPack_NewDecompositionSelectionStd_Strategy.cpp
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41 
44 #include "MoochoPack_NLPAlgo.hpp"
46 
47 namespace MoochoPack {
48 
50  const decomp_sys_handler_ptr_t &decomp_sys_handler
51  )
52  :decomp_sys_handler_(decomp_sys_handler)
53 {}
54 
56  NLPAlgo& algo, Algorithm::poss_type step_poss
58  )
59 {
60  NLPAlgoState &s = algo.rsqp_state();
61  EJournalOutputLevel olevel = algo.algo_cntr().journal_output_level();
62  std::ostream& out = algo.track().journal_out();
63 
64  // Check to see if we have a decomposition system set
65  if( !get_decomp_sys_handler().get() ) {
66  if( static_cast<int>(olevel) >= static_cast<int>(PRINT_BASIC_ALGORITHM_INFO) ) {
67  out << "\nWe are asked to select a new basis but there is no\n"
68  "decomposition system set so we have no choice but to terminiate\n"
69  "the algorithm"
70  << " (k = " << algo.state().k() << ")\n";
71  }
72  algo.terminate(false);
73  return false;
74  }
75 
76  // We may get an infinite loop here so make sure we are under the max
77  // number of iterations.
78  if( s.k() >= algo.algo_cntr().max_iter() ) {
79  if( static_cast<int>(olevel) >= static_cast<int>(PRINT_BASIC_ALGORITHM_INFO) ) {
80  out << "\nThe maximum number of rSQP iterations\n"
81  << " have been exceeded so quit "
82  << " (k = " << algo.state().k() << ")\n";
83  }
84  algo.terminate(false);
85  return false;
86  }
87 
88  // Select a new decomposition
89  decomp_sys_handler().select_new_decomposition(true);
90  if( (int)olevel >= (int)PRINT_ALGORITHM_STEPS ) {
91  out << "x_kp1 = x_k\n"
92  << "k=k+1\n"
93  << "goto EvalNewPoint\n";
94  }
95  s.x().set_k(1) = s.x().get_k(0);
96  s.alpha().set_k(0) = 0.0; // Show that no step was taken.
97  algo.track().output_iteration( algo );
98  s.next_iteration();
100  return false;
101 }
102 
104  const NLPAlgo& algo, Algorithm::poss_type step_poss
105  ,IterationPack::EDoStepType type, Algorithm::poss_type assoc_step_poss
106  ,std::ostream& out, const std::string& L
107  ) const
108 {
109  out
110  << L << "if k > max_iter then\n"
111  << L << " terminate the algorithm\n"
112  << L << "end\n"
113  << L << "Select a new basis at current point\n"
114  << L << "x_kp1 = x_k\n"
115  << L << "alpha_k = 0\n"
116  << L << "k=k+1\n"
117  << L << "goto EvalNewPoint\n";
118 }
119 
120 } // end namespace MoochoPack
virtual void max_iter(size_t max_iter)
bool new_decomposition(NLPAlgo &algo, Algorithm::poss_type step_poss, IterationPack::EDoStepType type, Algorithm::poss_type assoc_step_poss)
rSQP Algorithm control class.
virtual void terminate(bool success)
Called by step objects to terminate the algorithm.
virtual std::ostream & journal_out() const
Return a reference to a std::ostream to be used to output debug information and the like...
void print_new_decomposition(const NLPAlgo &algo, Algorithm::poss_type step_poss, IterationPack::EDoStepType type, Algorithm::poss_type assoc_step_poss, std::ostream &out, const std::string &leading_str) const
EJournalOutputLevel
enum for journal output.
Reduced space SQP state encapsulation interface.
std::ostream * out
virtual void do_step_next(const std::string &step_name)
Called by step objects to set the step (given its name) that this will envoke the next time this call...
AlgorithmTracker & track()
AlgorithmState & state()
virtual void output_iteration(const Algorithm &algo) const
Output information about an iteration just completed.
NLPAlgoState & rsqp_state()
<<std aggr>="">> members for algo_cntr
virtual void next_iteration(bool incr_k=true)
iteration quantity forwarding.