https://mooseframework.inl.gov
Loading...
Searching...
No Matches
Gaussian.h
Go to the documentation of this file.
1//* This file is part of the MOOSE framework
2//* https://mooseframework.inl.gov
3//*
4//* All rights reserved, see COPYRIGHT for full restrictions
5//* https://github.com/idaholab/moose/blob/master/COPYRIGHT
6//*
7//* Licensed under LGPL 2.1, please see LICENSE for details
8//* https://www.gnu.org/licenses/lgpl-2.1.html
9
10#pragma once
11
13#include "ReporterInterface.h"
14
19{
20public:
22
24
25 virtual Real function(const std::vector<Real> & x) const override;
26
34 static Real function(const std::vector<Real> & exp,
35 const std::vector<Real> & model,
36 const Real & noise,
37 const bool & log_likelihood);
38
39protected:
41 const bool _log_likelihood;
42
44 const Real & _noise;
45
47 std::vector<Real> _exp_values;
48};
const std::vector< double > x
const PertinentGeochemicalSystem model(database, {"H2O", "H+", "HCO3-", "O2(aq)", "Ca++", ">(s)FeOH", "radius_neg1", "radius_neg1.5"}, {"Calcite"}, {}, {"Calcite_asdf"}, {"CH4(aq)"}, {">(s)FeOCa+"}, "O2(aq)", "e-")
A class used to generate a Gaussian likelihood of observing model predictions.
Definition Gaussian.h:19
const Real & _noise
Noise value.
Definition Gaussian.h:44
std::vector< Real > _exp_values
Experimental data values.
Definition Gaussian.h:47
virtual Real function(const std::vector< Real > &x) const override
Return the probability density or mass function at vector x.
Definition Gaussian.C:77
const bool _log_likelihood
return log-likelihood or likelihood
Definition Gaussian.h:41
static InputParameters validParams()
Definition Gaussian.C:17
All Likelihoods should inherit from this class.
const InputParameters & parameters() const