MoochoPack_CalcDFromYPY_Step.cpp

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// Moocho: Multi-functional Object-Oriented arCHitecture for Optimization
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#include <limits>
#include <ostream>

#include "MoochoPack_CalcDFromYPY_Step.hpp"
#include "MoochoPack_moocho_algo_conversion.hpp"
#include "IterationPack_print_algorithm_step.hpp"
#include "AbstractLinAlgPack_VectorMutable.hpp"
#include "AbstractLinAlgPack_VectorOut.hpp"

namespace MoochoPack {

bool CalcDFromYPY_Step::do_step(
  Algorithm& _algo, poss_type step_poss, IterationPack::EDoStepType type, poss_type assoc_step_poss
  )
{

  NLPAlgo        &algo = rsqp_algo(_algo);
  NLPAlgoState   &s    = algo.rsqp_state();

  EJournalOutputLevel olevel = algo.algo_cntr().journal_output_level();
  std::ostream& out = algo.track().journal_out();

  // print step header.
  if( static_cast<int>(olevel) >= static_cast<int>(PRINT_ALGORITHM_STEPS) ) {
    using IterationPack::print_algorithm_step;
    print_algorithm_step( algo, step_poss, type, assoc_step_poss, out );
  }

  // d = Ypy
  VectorMutable &d_k = s.d().set_k(0) = s.Ypy().get_k(0);

  if( (int)olevel >= (int)PRINT_ALGORITHM_STEPS ) {
    out << "\n||d||inf = " << d_k.norm_inf() << std::endl;
  }

  if( (int)olevel >= (int)PRINT_VECTORS ) {
    out << "\nd_k = \n" << d_k;
  }

  return true;
}

void CalcDFromYPY_Step::print_step(
  const Algorithm& algo, poss_type step_poss, IterationPack::EDoStepType type
  ,poss_type assoc_step_poss, std::ostream& out, const std::string& L
  ) const
{
  out
    << L << "*** Calculates the search direction d from Ypy\n"
    << L << "d_k = Ypy_k \n";
}

} // end namespace MoochoPack