AffineInvariantDifferentialDecision.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 "AffineInvariantDifferentialDecision.h"
 
registerMooseObject("StochasticToolsApp", AffineInvariantDifferentialDecision);
 
InputParameters
AffineInvariantDifferentialDecision::validParams()
{
  InputParameters params = PMCMCDecision::validParams();
  params.addClassDescription("Perform decision making for Affine Invariant differential MCMC.");
  return params;
}
 
AffineInvariantDifferentialDecision::AffineInvariantDifferentialDecision(
    const InputParameters & parameters)
  : PMCMCDecision(parameters), _aides(dynamic_cast<const AffineInvariantDES *>(&_sampler))
{
  // Check whether the selected sampler is a differential evolution sampler or not
  if (!_aides)
    paramError("sampler", "The selected sampler is not of type AffineInvariantDES.");
}
 
void
AffineInvariantDifferentialDecision::computeTransitionVector(std::vector<Real> & tv,
                                                             const std::vector<Real> & evidence)
{
  for (unsigned int i = 0; i < tv.size(); ++i)
    tv[i] = std::exp(std::min(evidence[i], 0.0));
}