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