/** In this class, a relaxed data approach is used in which continuous
    and discrete arrays are combined into a single continuous array
    (integrality is relaxed; the converse of truncating reals is not
    currently supported but could be in the future if needed).
    Iterators which use this class include: BranchBndOptimizer. */
RelaxedVarConstraints::
RelaxedVarConstraints(const ProblemDescDB& problem_db,
		      const SharedVariablesData& svd):
  Constraints(BaseConstructor(), problem_db, svd)
{
  const SizetArray& vc_totals = svd.components_totals();
  size_t num_cdv = vc_totals[0], num_cauv = vc_totals[3],
    num_ceuv  = vc_totals[6], num_csv = vc_totals[9],
    num_ddrv  = sharedVarsData.vc_lookup(DISCRETE_DESIGN_RANGE),
    num_ddsiv = sharedVarsData.vc_lookup(DISCRETE_DESIGN_SET_INT),
    num_dauiv = vc_totals[4], num_deuiv = vc_totals[7],
    num_dsrv  = sharedVarsData.vc_lookup(DISCRETE_STATE_RANGE),
    num_dssiv = sharedVarsData.vc_lookup(DISCRETE_STATE_SET_INT),
    num_ddsrv = vc_totals[2], num_daurv = vc_totals[5],
    num_deurv = vc_totals[8],
    num_acv   = num_cdv + num_cauv + num_ceuv + num_csv +
                vc_totals[1] + num_dauiv + num_deuiv + vc_totals[10] +
                num_ddsrv + num_daurv + num_deurv + vc_totals[11];

  allContinuousLowerBnds.sizeUninitialized(num_acv);
  allContinuousUpperBnds.sizeUninitialized(num_acv);

  int start = 0;
  copy_data_partial(problem_db.get_rv(
    "variables.continuous_design.lower_bounds"), allContinuousLowerBnds, start);
  copy_data_partial(problem_db.get_rv(
    "variables.continuous_design.upper_bounds"), allContinuousUpperBnds, start);
  start += num_cdv;
  merge_data_partial(problem_db.get_iv(
    "variables.discrete_design_range.lower_bounds"),
    allContinuousLowerBnds, start);
  merge_data_partial(problem_db.get_iv(
    "variables.discrete_design_range.upper_bounds"),
    allContinuousUpperBnds, start);
  start += num_ddrv;
  merge_data_partial(problem_db.get_iv(
    "variables.discrete_design_set_int.lower_bounds"),
    allContinuousLowerBnds, start);
  merge_data_partial(problem_db.get_iv(
    "variables.discrete_design_set_int.upper_bounds"),
    allContinuousUpperBnds, start);
  start += num_ddsiv;
  copy_data_partial(problem_db.get_rv(
    "variables.discrete_design_set_real.lower_bounds"),
    allContinuousLowerBnds, start);
  copy_data_partial(problem_db.get_rv(
    "variables.discrete_design_set_real.upper_bounds"),
    allContinuousUpperBnds, start);
  start += num_ddsrv;
  copy_data_partial(problem_db.get_rv(
    "variables.continuous_aleatory_uncertain.lower_bounds"),
    allContinuousLowerBnds, start);
  copy_data_partial(problem_db.get_rv(
    "variables.continuous_aleatory_uncertain.upper_bounds"),
    allContinuousUpperBnds, start);
  start += num_cauv;
  merge_data_partial(problem_db.get_iv(
    "variables.discrete_aleatory_uncertain_int.lower_bounds"),
    allContinuousLowerBnds, start);
  merge_data_partial(problem_db.get_iv(
    "variables.discrete_aleatory_uncertain_int.upper_bounds"),
    allContinuousUpperBnds, start);
  start += num_dauiv;
  copy_data_partial(problem_db.get_rv(
    "variables.discrete_aleatory_uncertain_real.lower_bounds"),
    allContinuousLowerBnds, start);
  copy_data_partial(problem_db.get_rv(
    "variables.discrete_aleatory_uncertain_real.upper_bounds"),
    allContinuousUpperBnds, start);
  start += num_daurv;
  copy_data_partial(problem_db.get_rv(
    "variables.continuous_epistemic_uncertain.lower_bounds"),
    allContinuousLowerBnds, start);
  copy_data_partial(problem_db.get_rv(
    "variables.continuous_epistemic_uncertain.upper_bounds"),
    allContinuousUpperBnds, start);
  start += num_ceuv;
  merge_data_partial(problem_db.get_iv(
   "variables.discrete_epistemic_uncertain_int.lower_bounds"),
   allContinuousLowerBnds, start);
  merge_data_partial(problem_db.get_iv(
   "variables.discrete_epistemic_uncertain_int.upper_bounds"),
   allContinuousUpperBnds, start);
  start += num_deuiv;
  copy_data_partial(problem_db.get_rv(
   "variables.discrete_epistemic_uncertain_real.lower_bounds"),
   allContinuousLowerBnds, start);
  copy_data_partial(problem_db.get_rv(
   "variables.discrete_epistemic_uncertain_real.upper_bounds"),
   allContinuousUpperBnds, start);
  start += num_deurv;
  copy_data_partial(problem_db.get_rv(
    "variables.continuous_state.lower_bounds"), allContinuousLowerBnds, start);
  copy_data_partial(problem_db.get_rv(
    "variables.continuous_state.upper_bounds"), allContinuousUpperBnds, start);
  start += num_csv;
  merge_data_partial(problem_db.get_iv(
    "variables.discrete_state_range.lower_bounds"),
    allContinuousLowerBnds, start);
  merge_data_partial(problem_db.get_iv(
    "variables.discrete_state_range.upper_bounds"),
    allContinuousUpperBnds, start);
  start += num_dsrv;
  merge_data_partial(problem_db.get_iv(
    "variables.discrete_state_set_int.lower_bounds"),
    allContinuousLowerBnds, start);
  merge_data_partial(problem_db.get_iv(
    "variables.discrete_state_set_int.upper_bounds"),
    allContinuousUpperBnds, start);
  start += num_dssiv;
  copy_data_partial(problem_db.get_rv(
    "variables.discrete_state_set_real.lower_bounds"),
    allContinuousLowerBnds, start);
  copy_data_partial(problem_db.get_rv(
    "variables.discrete_state_set_real.upper_bounds"),
    allContinuousUpperBnds, start);

  // Construct active/inactive views of all arrays
  build_views();

  // Manage linear constraints.
  manage_linear_constraints(problem_db);

#ifdef REFCOUNT_DEBUG
  Cout << "Letter instantiated: variablesView active = " << variablesView.first
       << " inactive = " << variablesView.second << std::endl;
#endif
}
Пример #2
0
/** In this class, the distinct approach is used (design, uncertain, and
    state variable types and continuous and discrete domain types are 
    distinct).  Most iterators/strategies use this approach. */
MixedVariables::
MixedVariables(const ProblemDescDB& problem_db,
	       const std::pair<short,short>& view):
  Variables(BaseConstructor(), problem_db, view)
{
  const SizetArray& vc_totals = sharedVarsData.components_totals();
  size_t num_cdv = vc_totals[0], num_cauv = vc_totals[3],
    num_ceuv  = vc_totals[6],
    num_acv   = num_cdv + num_cauv + num_ceuv + vc_totals[9],
    num_ddrv  = sharedVarsData.vc_lookup(DISCRETE_DESIGN_RANGE),
    num_ddsiv = sharedVarsData.vc_lookup(DISCRETE_DESIGN_SET_INT),
    num_dauiv = vc_totals[4], num_deuiv = vc_totals[7],
    num_dsrv  = sharedVarsData.vc_lookup(DISCRETE_STATE_RANGE),
    num_adiv  = vc_totals[1] + num_dauiv + num_deuiv + vc_totals[10],
    num_daurv = vc_totals[5], num_deurv = vc_totals[8],
    num_ddsrv = vc_totals[2],
    num_adrv  = num_ddsrv + num_daurv + num_deurv + vc_totals[11];

  allContinuousVars.sizeUninitialized(num_acv);
  allDiscreteIntVars.sizeUninitialized(num_adiv);
  allDiscreteRealVars.sizeUninitialized(num_adrv);

  int start = 0;
  copy_data_partial(problem_db.get_rv(
    "variables.continuous_design.initial_point"), allContinuousVars, start);
  start += num_cdv;
  copy_data_partial(problem_db.get_rv(
    "variables.continuous_aleatory_uncertain.initial_point"),
    allContinuousVars, start);
  start += num_cauv;
  copy_data_partial(problem_db.get_rv(
    "variables.continuous_epistemic_uncertain.initial_point"),
    allContinuousVars, start);
  start += num_ceuv;
  copy_data_partial(problem_db.get_rv(
    "variables.continuous_state.initial_state"), allContinuousVars, start);

  start = 0;
  copy_data_partial(problem_db.get_iv(
    "variables.discrete_design_range.initial_point"),
    allDiscreteIntVars, start);
  start += num_ddrv;
  copy_data_partial(problem_db.get_iv(
    "variables.discrete_design_set_int.initial_point"),
    allDiscreteIntVars, start);
  start += num_ddsiv;
  copy_data_partial(problem_db.get_iv(
    "variables.discrete_aleatory_uncertain_int.initial_point"),
    allDiscreteIntVars, start);
  start += num_dauiv;
  copy_data_partial(problem_db.get_iv(
   "variables.discrete_epistemic_uncertain_int.initial_point"),
   allDiscreteIntVars, start);
  start += num_deuiv;
  copy_data_partial(problem_db.get_iv(
    "variables.discrete_state_range.initial_state"), allDiscreteIntVars, start);
  start += num_dsrv;
  copy_data_partial(problem_db.get_iv(
    "variables.discrete_state_set_int.initial_state"),
    allDiscreteIntVars, start);

  start = 0;
  copy_data_partial(problem_db.get_rv(
    "variables.discrete_design_set_real.initial_point"),
    allDiscreteRealVars, start);
  start += num_ddsrv;
  copy_data_partial(problem_db.get_rv(
    "variables.discrete_aleatory_uncertain_real.initial_point"),
    allDiscreteRealVars, start);
  start += num_daurv;
  copy_data_partial(problem_db.get_rv(
   "variables.discrete_epistemic_uncertain_real.initial_point"),
   allDiscreteRealVars, start);
  start += num_deurv;
  copy_data_partial(problem_db.get_rv(
    "variables.discrete_state_set_real.initial_state"),
    allDiscreteRealVars, start);

  // construct active/inactive views of all arrays
  build_views();

#ifdef REFCOUNT_DEBUG
  Cout << "Letter instantiated: variablesView active = " << variablesView.first
       << " inactive = " << variablesView.second << std::endl;
#endif
}