PySINDy: A comprehensive Python package for robust sparse system identification

Python Submitted 21 October 2021 • Published 29 January 2022
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Authors

Alan A. Kaptanoglu, Brian M. de Silva, Urban Fasel, Kadierdan Kaheman, Andy J. Goldschmidt, Jared Callaham, Charles B. Delahunt, Zachary G. Nicolaou, Kathleen Champion, Jean-Christophe Loiseau, J. Nathan Kutz, Steven L. Brunton

Citation

Kaptanoglu et al., (2022). PySINDy: A comprehensive Python package for robust sparse system identification. Journal of Open Source Software, 7(69), 3994, https://doi.org/10.21105/joss.03994

@article{Kaptanoglu2022, doi = {10.21105/joss.03994}, url = {https://doi.org/10.21105/joss.03994}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {69}, pages = {3994}, author = {Alan A. Kaptanoglu and Brian M. de Silva and Urban Fasel and Kadierdan Kaheman and Andy J. Goldschmidt and Jared Callaham and Charles B. Delahunt and Zachary G. Nicolaou and Kathleen Champion and Jean-Christophe Loiseau and J. Nathan Kutz and Steven L. Brunton}, title = {PySINDy: A comprehensive Python package for robust sparse system identification}, journal = {Journal of Open Source Software} }
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dynamical systems sparse regression model discovery system identification machine learning

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