A new ensemble Monte Carlo method for a parabolic optimal control problem with random coefficient

A new ensemble Monte Carlo (EMC) method is proposed and applied to numerically simulate a parabolic optimal control problem with random coefficients. The state equation is discretized by the EMC method, which shares a common coefficient matrix with multiple right-hand vectors. It saves the computational cost compared with the Monte Carlo (MC) method. For this new EMC method, it is unconditionally stable and does not need to subgroup the samples in the simulation. Under natural regularity condition, some error estimates are obtained for the EMC approximation of the optimal control problem. Two numerical examples are presented to test the theoretical results.

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Publication Details

Journal
Networks and Heterogeneous Media
Published
2025-01-01
DOI
https://doi.org/10.3934/nhm.2025031
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
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article

A new ensemble Monte Carlo method for a parabolic optimal control problem with random coefficient

Changlun Ye, Xianbing Luo, Yan Guo
Networks and Heterogeneous Media
Advanced Numerical Methods in Computational Mathematics
article

A new ensemble Monte Carlo method for a parabolic optimal control problem with random coefficient

Changlun Ye, Xianbing Luo, Yan Guo
article en

Abstract

A new ensemble Monte Carlo (EMC) method is proposed and applied to numerically simulate a parabolic optimal control problem with random coefficients. The state equation is discretized by the EMC method, which shares a common coefficient matrix with multiple right-hand vectors. It saves the computational cost compared with the Monte Carlo (MC) method. For this new EMC method, it is unconditionally stable and does not need to subgroup the samples in the simulation. Under natural regularity condition, some error estimates are obtained for the EMC approximation of the optimal control problem. Two numerical examples are presented to test the theoretical results.

Networks and Heterogeneous MediaVol. 20(3)
Guizhou Normal University (CN), Guizhou University (CN)
Openalex Percentile: Top 84%
Advanced Numerical Methods in Computational Mathematics
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