arrow
Return

Solving High-Dimensional Partial Integral Differential Equations: The Finite Expression Method

delete2025-08-10
delete0
PRE
AI
G
Gareth Hardwick
S
Senwei Liang
H
Haizhao Yang
DOI:10.1016/j.jcp.2025.114273delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• Solving high-dimensional partial integro-differential equations (PIDEs) with machine accu-racy; • A novel and efficient solver for symbolic machine learning via reinforcement learning; • Significantly outperform deep neural network-based approaches in terms of solution accuracy and interpretability.
Keywords:
high-dimensional PIDEs
symbolic machine learning
reinforcement learning
solution accuracy
interpretability

Journal

Journal of Computational Physics cover
Journal of Computational Physics
IF:
3.8
Papers:
1.5W
Citations:
7.4W

Organization

L
Lawrence Berkeley National Laboratory
Scholars:
1.5W
Papers: 1.1W
Citations: 6.1W
P
Purdue University
Scholars:
2.6W
Papers: 2.1W
Citations: 147