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stochastic_tools
include
samplers
AISActiveLearning.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 "
AdaptiveImportanceSampler.h
"
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#include "
ReporterInterface.h
"
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class
AISActiveLearning
:
public
AdaptiveImportanceSampler
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{
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public
:
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static
InputParameters
validParams
();
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AISActiveLearning
(
const
InputParameters
&
parameters
);
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};
AdaptiveImportanceSampler.h
ReporterInterface.h
AISActiveLearning
A class used to perform Adaptive Importance Sampling using a Markov Chain Monte Carlo algorithm and G...
Definition
AISActiveLearning.h:20
AISActiveLearning::validParams
static InputParameters validParams()
Definition
AISActiveLearning.C:15
AdaptiveImportanceSampler
A class used to perform Adaptive Importance Sampling using a Markov Chain Monte Carlo algorithm.
Definition
AdaptiveImportanceSampler.h:19
Sampler::parameters
const InputParameters & parameters() const
InputParameters
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