PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data

Brian de Silva, Kathleen Champion, Markus Quade, Jean-Christophe Loiseau, J. Kutz, Steven Brunton

Open source

DOI: 10.21105/joss.02104
Published: 2020-05-18
Container: Journal of Open Source Software
Publisher: The Open Journal
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.21105/joss.02104,
  title = {PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data},
  author = {Brian de Silva and Kathleen Champion and Markus Quade and Jean-Christophe Loiseau and J. Kutz and Steven Brunton},
  year = {2020},
  journal = {Journal of Open Source Software},
  doi = {10.21105/joss.02104},
  url = {https://doi.org/10.21105/joss.02104}
}

RIS

TY  - JOUR
TI  - PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data
AU  - Brian de Silva
AU  - Kathleen Champion
AU  - Markus Quade
AU  - Jean-Christophe Loiseau
AU  - J. Kutz
AU  - Steven Brunton
PY  - 2020
JO  - Journal of Open Source Software
DO  - 10.21105/joss.02104
UR  - https://doi.org/10.21105/joss.02104
ER  -

APA

Silva, B. D., Champion, K., Quade, M., Loiseau, J., Kutz, J., & Brunton, S. (2020). PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data. Journal of Open Source Software. https://doi.org/10.21105/joss.02104

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crossref · retrieved 2026-09-24T19:51:17.455Z