A Variational Max Ensemble Numerical Algorism for a Transient Heat Model with Random Inputs

26 Pages Posted: 14 Aug 2023

See all articles by Tingfu Yao

Tingfu Yao

Guizhou University

Changlun Ye

Guizhou University

Xianbing Luo

Guizhou University

Shuwen Xiang

Guizhou University

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  numerical method which we call variational MAX ensemble Monte Carlo (VMEMC) method. In contrast with related methodologies, the novelty of this algorithm is that it is unconditional stability. And also, the error estimates are proved. Numerical tests illustrate the theoretical properties for the VMEMC method.

Keywords: Transient heat equation, Robin coefficient, Diffusion coefficient, Uncertain inputs, Variational MAX ensemble, Monte Carlo sampling

Suggested Citation

Yao, Tingfu and Ye, Changlun and Luo, Xianbing and Xiang, Shuwen, A Variational Max Ensemble Numerical Algorism for a Transient Heat Model with Random Inputs. Available at SSRN: https://ssrn.com/abstract=4538907 or http://dx.doi.org/10.2139/ssrn.4538907

Tingfu Yao

Guizhou University ( email )

Guizhou
China

Changlun Ye

Guizhou University ( email )

Guizhou
China

Xianbing Luo (Contact Author)

Guizhou University ( email )

Guizhou
China

Shuwen Xiang

Guizhou University ( email )

Guizhou
China

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