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PyDMD: A Python package for robust dynamic mode decomposition

PyDMD: A Python package for robust dynamic mode decomposition

12 February 2024
Sara M. Ichinaga
Francesco Andreuzzi
N. Demo
M. Tezzele
Karl Lapo
G. Rozza
Steven L. Brunton
J. Nathan Kutz
    AI4CE
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Papers citing "PyDMD: A Python package for robust dynamic mode decomposition"

3 / 3 papers shown
Title
When Graph Neural Networks Meet Dynamic Mode Decomposition
When Graph Neural Networks Meet Dynamic Mode Decomposition
Dai Shi
Lequan Lin
Andi Han
Zhiyong Wang
Yi Guo
Junbin Gao
AI4CE
23
0
0
08 Oct 2024
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
Priyam Gupta
Peter J. Schmid
D. Sipp
T. Sayadi
Georgios Rigas
9
4
0
16 Oct 2023
The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving
  Dynamical Systems
The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving Dynamical Systems
Matthew J. Colbrook
20
34
0
06 Sep 2022
1