ExpectedImprovementGlobalFit.h

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//* This file is part of the MOOSE framework
//* https://www.mooseframework.org
//*
//* 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 "ParallelAcquisitionFunctionBase.h"
 
// Proposed by by Lam and Notz 2008
class ExpectedImprovementGlobalFit : public ParallelAcquisitionFunctionBase
{
public:
  static InputParameters validParams();
  ExpectedImprovementGlobalFit(const InputParameters & parameters);
 
protected:
  void computeAcquisitionInternal(std::vector<Real> & acq,
                                  const std::vector<Real> & gp_mean,
                                  const std::vector<Real> & gp_std,
                                  const std::vector<std::vector<Real>> & test_inputs,
                                  const std::vector<std::vector<Real>> & train_inputs,
                                  const std::vector<Real> & generic) const override;
 
private:
  static void computeDistance(unsigned int & req_index,
                              const std::vector<Real> & current_input,
                              const std::vector<std::vector<Real>> & train_inputs);
};