Sparse Estimation for Hamiltonian Mechanics

Estimating governing equations from observed time-series data is crucial for understanding dynamical systems. From the perspective of system comprehension, the demand for accurate estimation and interpretable results has been particularly emphasized. Herein, we propose a novel data-driven method for...

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Hlavní autoři: Yuya Note, Masahito Watanabe, Hiroaki Yoshimura, Takaharu Yaguchi, Toshiaki Omori
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2024-03-01
Edice:Mathematics
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On-line přístup:https://www.mdpi.com/2227-7390/12/7/974