https://mooseframework.inl.gov
Loading...
Searching...
No Matches
IndependentGaussianMH.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
12#include "PMCMCBase.h"
13
18{
19public:
21
23
24 virtual int decisionStep() const override { return 2; }
25
26protected:
27 virtual void proposeSamples() override;
28
29private:
31 const std::vector<Real> & _seed_inputs;
32
34 const std::vector<Real> & _std_prop;
35};
A class for performing M-H MCMC sampling with independent Gaussian propoposals.
virtual void proposeSamples() override
Fill in the _new_samples vector of vectors (happens within sampleSetUp)
static InputParameters validParams()
const std::vector< Real > & _seed_inputs
Reporter value the seed input values for proposing the next set of samples.
const std::vector< Real > & _std_prop
Standard deviations for making the next proposal.
virtual int decisionStep() const override
Return the step after which decision making can begin.
const InputParameters & parameters() const
A base class used to perform Parallel Markov Chain Monte Carlo (MCMC) sampling.
Definition PMCMCBase.h:20