Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 desilva2020pysindy
%A de Silva, Brian
%A Champion, Kathleen
%A Quade, Markus
%A Loiseau, Jean-Christophe
%A Kutz, J.
%A Brunton, Steven
%D 2020
%I The Open Journal
%J Journal of Open Source Software
%K 93-04-systems-theory-control-explicit-machine-computation-and-programs 93b30-system-identification
%N 49
%P 2104
%R 10.21105/joss.02104
%T PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data
%U https://doi.org/10.21105%2Fjoss.02104
%V 5
@article{desilva2020pysindy,
added-at = {2020-09-02T05:58:41.000+0200},
author = {de Silva, Brian and Champion, Kathleen and Quade, Markus and Loiseau, Jean-Christophe and Kutz, J. and Brunton, Steven},
biburl = {https://www.bibsonomy.org/bibtex/28b13cfd71eb8807fe6ede9e9e7c3053d/gdmcbain},
doi = {10.21105/joss.02104},
interhash = {467b594ed8b2f1bda5615ef029be2bbc},
intrahash = {8b13cfd71eb8807fe6ede9e9e7c3053d},
journal = {Journal of Open Source Software},
keywords = {93-04-systems-theory-control-explicit-machine-computation-and-programs 93b30-system-identification},
month = may,
number = 49,
pages = 2104,
publisher = {The Open Journal},
timestamp = {2020-09-02T05:58:41.000+0200},
title = {{PySINDy}: A Python package for the sparse identification of nonlinear dynamical systems from data},
url = {https://doi.org/10.21105%2Fjoss.02104},
volume = 5,
year = 2020
}