Bayesian inference for solving a class of heat conduction problems

Bayesian inference for solving a class of heat conduction problems

This paper considers a heat conduction problem of a common continuum-type stochastic mathematical model in an engineering field. The approximate solution is calculated with the Markov chain Monte-Carlo algorithm for the heat conduction problem. Three examples are given to illustrate the solution pro...

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Bibliographic Details
Main Authors: Lai Jun-Feng, Yan Zai-Zai, He Ji-Huan
Format: Article
Language:English
Published: VINCA Institute of Nuclear Sciences 2021-01-01
Series:Thermal Science
Subjects:
bayesian inference
heat conduction problem
markov chain monte-carlo
Online Access:http://www.doiserbia.nb.rs/img/doi/0354-9836/2021/0354-98362100098L.pdf
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spelling doaj-1b413f66dfa64a08bb39afaaf18ece5a2021-05-27T13:12:06ZengVINCA Institute of Nuclear SciencesThermal Science0354-98362334-71632021-01-01253 Part B2135214210.2298/TSCI191226098L0354-98362100098LBayesian inference for solving a class of heat conduction problemsLai Jun-Feng0Yan Zai-Zai1He Ji-Huan2Science College, Inner Mongolia University of Technology, Hohhot, ChinaScience College, Inner Mongolia University of Technology, Hohhot, ChinaSchool of Mathematics and Information Science, Henan Polytechnic University, Jiaozuo, China + National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, Suzhou, ChinaThis paper considers a heat conduction problem of a common continuum-type stochastic mathematical model in an engineering field. The approximate solution is calculated with the Markov chain Monte-Carlo algorithm for the heat conduction problem. Three examples are given to illustrate the solution process of the method.http://www.doiserbia.nb.rs/img/doi/0354-9836/2021/0354-98362100098L.pdfbayesian inferenceheat conduction problemmarkov chain monte-carlo
collection DOAJ
language English
format Article
sources DOAJ
author Lai Jun-Feng
Yan Zai-Zai
He Ji-Huan
spellingShingle Lai Jun-Feng
Yan Zai-Zai
He Ji-Huan
Bayesian inference for solving a class of heat conduction problems
Thermal Science
bayesian inference
heat conduction problem
markov chain monte-carlo
author_facet Lai Jun-Feng
Yan Zai-Zai
He Ji-Huan
author_sort Lai Jun-Feng
title Bayesian inference for solving a class of heat conduction problems
title_short Bayesian inference for solving a class of heat conduction problems
title_full Bayesian inference for solving a class of heat conduction problems
title_fullStr Bayesian inference for solving a class of heat conduction problems
title_full_unstemmed Bayesian inference for solving a class of heat conduction problems
title_sort bayesian inference for solving a class of heat conduction problems
publisher VINCA Institute of Nuclear Sciences
series Thermal Science
issn 0354-9836
2334-7163
publishDate 2021-01-01
description This paper considers a heat conduction problem of a common continuum-type stochastic mathematical model in an engineering field. The approximate solution is calculated with the Markov chain Monte-Carlo algorithm for the heat conduction problem. Three examples are given to illustrate the solution process of the method.
topic bayesian inference
heat conduction problem
markov chain monte-carlo
url http://www.doiserbia.nb.rs/img/doi/0354-9836/2021/0354-98362100098L.pdf
work_keys_str_mv AT laijunfeng bayesianinferenceforsolvingaclassofheatconductionproblems
AT yanzaizai bayesianinferenceforsolvingaclassofheatconductionproblems
AT hejihuan bayesianinferenceforsolvingaclassofheatconductionproblems
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