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Research Article | Open Access

A variational MAX ensemble numerical algorism for a transient heat model with random inputs

Tingfu Yao1,2Changlun Ye3Xianbing Luo1( )Shuwen Xiang1,2
School of Mathematics and Statistics, Guizhou University, Guiyang 550025, China
College of Science, Guiyang University, Guiyang 550005, China
School of Mathematical Sciences, Guizhou Normal University, Guiyang 550001, China
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Abstract

A variational MAX ensemble-based time-stepping numerical method is proposed to simulate a transient heat equation with uncertain Robin boundary and diffusion coefficients. Instead of employing ensemble means for Robin coefficients as well as diffusion coefficients, the maximums of these coefficients are utilized at per time step. This is a new variational ensemble Monte Carlo (MC) numerical method, which we call the variational MAX ensemble Monte Carlo (VMEMC) method. In contrast with related methodologies, the novelty of this algorithm is that it is unconditionally stable. And also, the error estimates are proved. Numerical tests illustrate the theoretical properties for the VMEMC method.

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Networks and Heterogeneous Media
Pages 1013-1037

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Cite this article:
Yao T, Ye C, Luo X, et al. A variational MAX ensemble numerical algorism for a transient heat model with random inputs. Networks and Heterogeneous Media, 2024, 19(3): 1013-1037. https://doi.org/10.3934/nhm.2024045

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Received: 22 August 2024
Revised: 18 September 2024
Accepted: 23 September 2024
Published: 27 September 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)