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Authors
Shaowu Pan (0000-0002-2462-362X), Eurika Kaiser (0000-0001-6049-0812), Brian M. de Silva (0000-0003-0944-900X), J. Nathan Kutz (0000-0002-6004-2275), Steven L. Brunton (0000-0002-6565-5118)
Citation
Pan et al., (2024). PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator. Journal of Open Source Software, 9(94), 5881, https://doi.org/10.21105/joss.05881
@article{Pan2024,
doi = {10.21105/joss.05881},
url = {https://doi.org/10.21105/joss.05881},
year = {2024},
publisher = {The Open Journal},
volume = {9},
number = {94},
pages = {5881},
author = {Shaowu Pan and Eurika Kaiser and Brian M. de Silva and J. Nathan Kutz and Steven L. Brunton},
title = {PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator},
journal = {Journal of Open Source Software}
}
Tags
dynamical systems Koopman operator system identification machine learning neural networks
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