Optimize.C

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//* This file is part of the MOOSE framework
//* https://mooseframework.inl.gov
//*
//* All rights reserved, see COPYRIGHT for full restrictions
//* https://github.com/idaholab/moose/blob/master/COPYRIGHT
//*
//* Licensed under LGPL 2.1, please see LICENSE for details
//* https://www.gnu.org/licenses/lgpl-2.1.html
 
#include "Optimize.h"
#include "FEProblemBase.h"
 
registerMooseObject("OptimizationApp", Optimize);
 
InputParameters
Optimize::validParams()
{
  InputParameters params = Steady::validParams();
  params += OptimizeSolve::validParams();
  params.addClassDescription("Executioner for optimization problems.");
  return params;
}
 
Optimize::Optimize(const InputParameters & parameters) : Steady(parameters), _optim_solve(*this)
{
  _optim_solve.setInnerSolve(fixedPointSolve());
}
 
void
Optimize::execute()
{
  _problem.outputStep(EXEC_INITIAL);
 
  preExecute();
 
  _problem.advanceState();
 
  // first step in any steady state solve is always 1 (preserving backwards compatibility)
  _time_step = 1;
 
  _problem.timestepSetup();
 
  _last_solve_converged = _optim_solve.solve();
 
  // need to keep _time in sync with _time_step to get correct output
  _time = _time_step;
  _problem.execute(EXEC_TIMESTEP_END);
  _problem.outputStep(EXEC_TIMESTEP_END);
  _time = _system_time;
 
  _problem.execMultiApps(EXEC_FINAL);
  _problem.finalizeMultiApps();
  _problem.execute(EXEC_FINAL);
  _time = _time_step;
  _problem.outputStep(EXEC_FINAL);
  _time = _system_time;
 
  postExecute();
}