MorrisSampler.h

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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
 
#pragma once
 
#include "Sampler.h"
 
class MorrisSampler : public Sampler
{
public:
  static InputParameters validParams();
 
  MorrisSampler(const InputParameters & parameters);
 
protected:
  virtual Real computeSample(dof_id_type row_index, dof_id_type col_index) const override;
 
  virtual LocalRankConfig constructRankConfig(bool batch_mode) const override;
 
  const dof_id_type & _num_trajectories;
  const unsigned int & _num_levels;
  std::vector<const Distribution *> _distributions;
 
private:
  void updateBstar(dof_id_type trajectory_index) const;
 
  RealEigenMatrix _b;
  RealEigenMatrix _j;
 
  mutable dof_id_type _curr_trajectory = std::numeric_limits<dof_id_type>::max();
  mutable RealEigenMatrix _bstar;
};