Hamiltonian Operator Inference: Physics-preserving Learning of Reduced-order Models for Canonical Hamiltonian Systems
Physica D Nonlinear Phenomena（2021）
Key words
Structure-preserving model reduction,Hamiltonian systems,Physics-informed machine learning,Data-driven modeling,Operator inference
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