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stochastic_tools
include
likelihoods
Gaussian.h
Go to the documentation of this file.
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//* This file is part of the MOOSE framework
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//* https://mooseframework.inl.gov
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//*
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//* All rights reserved, see COPYRIGHT for full restrictions
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//* https://github.com/idaholab/moose/blob/master/COPYRIGHT
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//*
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//* Licensed under LGPL 2.1, please see LICENSE for details
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//* https://www.gnu.org/licenses/lgpl-2.1.html
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#pragma once
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#include "
LikelihoodFunctionBase.h
"
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#include "
ReporterInterface.h
"
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class
Gaussian
:
public
LikelihoodFunctionBase
,
public
ReporterInterface
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{
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public
:
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static
InputParameters
validParams
();
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Gaussian
(
const
InputParameters
&
parameters
);
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virtual
Real
function
(
const
std::vector<Real> &
x
)
const override
;
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static
Real
function
(
const
std::vector<Real> & exp,
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const
std::vector<Real> &
model
,
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const
Real & noise,
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const
bool
& log_likelihood);
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protected
:
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const
bool
_log_likelihood
;
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const
Real &
_noise
;
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std::vector<Real>
_exp_values
;
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};
x
const std::vector< double > x
Definition
EquilibriumConstantFitTest.C:17
model
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-")
LikelihoodFunctionBase.h
ReporterInterface.h
Gaussian
A class used to generate a Gaussian likelihood of observing model predictions.
Definition
Gaussian.h:19
Gaussian::_noise
const Real & _noise
Noise value.
Definition
Gaussian.h:44
Gaussian::_exp_values
std::vector< Real > _exp_values
Experimental data values.
Definition
Gaussian.h:47
Gaussian::function
virtual Real function(const std::vector< Real > &x) const override
Return the probability density or mass function at vector x.
Definition
Gaussian.C:77
Gaussian::_log_likelihood
const bool _log_likelihood
return log-likelihood or likelihood
Definition
Gaussian.h:41
Gaussian::validParams
static InputParameters validParams()
Definition
Gaussian.C:17
LikelihoodFunctionBase
All Likelihoods should inherit from this class.
Definition
LikelihoodFunctionBase.h:19
MooseObject::parameters
const InputParameters & parameters() const
ReporterInterface
InputParameters
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