Gaussian process learning of nonlinear dynamics-Reference-Cited by-同舟云学术

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Gaussian process learning of nonlinear dynamics

Published:2024-11 Issue: Volume:138 Page:108184
ISSN:1007-5704
Container-title:Communications in Nonlinear Science and Numerical Simulation
language:en
Short-container-title:Communications in Nonlinear Science and Numerical Simulation

Author:

Ye Dongwei,Guo Mengwu^ORCID

Publisher

Elsevier BV

Reference47 articles.

1. Learning physics-based models from data: perspectives from inverse problems and model reduction;Ghattas;Acta Numer,2021

2. The imperative of physics-based modeling and inverse theory in computational science;Willcox;Nat Comput Sci,2021

3. Discovering governing equations from data by sparse identification of nonlinear dynamical systems;Brunton;Proc Natl Acad Sci,2016

4. Data-driven operator inference for nonintrusive projection-based model reduction;Peherstorfer;Comput Methods Appl Mech Engrg,2016

5. Reduced operator inference for nonlinear partial differential equations;Qian;SIAM J Sci Comput,2022

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