Constructing hidden differential equations using a data-driven approach with the alternating direction method of multipliers (ADMM)

This paper adopted the alternating direction method of multipliers (ADMM) which aims to delve into data-driven differential equations. ADMM is an optimization method designed to solve convex optimization problems. This paper attempted to illustrate the conceptual ideas and parameter discovery of the...

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Bibliographic Details
Main Authors: Jye Ying Sia, Yong Kheng Goh, How Hui Liew, Yun Fah Chang
Format: Article
Language:English
Published: AIMS Press 2025-02-01
Series:Electronic Research Archive
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Online Access:https://www.aimspress.com/article/doi/10.3934/era.2025040
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