@article{Yao2024, 
author = {Tingfu Yao and Changlun Ye and Xianbing Luo and Shuwen Xiang},
title = {A variational MAX ensemble numerical algorism for a transient heat model with random inputs},
year = {2024},
journal = {Networks and Heterogeneous Media},
volume = {19},
number = {3},
pages = {1013-1037},
keywords = {transient heat equation, Robin coefficient, diffusion coefficient, uncertain inputs, variational MAX ensemble, MC sampling},
url = {https://www.sciopen.com/article/10.3934/nhm.2024045},
doi = {10.3934/nhm.2024045},
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.}
}