tag:joss.theoj.org,2005:/papers/by/Jean-Christophe%20LoiseauJournal of Open Source Software2022-01-29T01:16:01ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/31222022-01-29T01:16:01Z2022-01-30T00:01:12ZPySINDy: A comprehensive Python package for robust sparse system identificationacceptedv1.2.32021-10-21 18:46:09 UTC692022-01-29 01:16:01 UTC720223994AlanA.KaptanogluDepartment of Physics, University of WashingtonBrianM.de SilvaDepartment of Applied Mathematics, University of WashingtonUrbanFaselDepartment of Mechanical Engineering, University of WashingtonKadierdanKahemanDepartment of Mechanical Engineering, University of WashingtonAndyJ.GoldschmidtDepartment of Physics, University of WashingtonJaredCallahamDepartment of Mechanical Engineering, University of WashingtonCharlesB.DelahuntDepartment of Applied Mathematics, University of WashingtonZacharyG.NicolaouDepartment of Applied Mathematics, University of WashingtonKathleenChampionDepartment of Applied Mathematics, University of WashingtonJean-ChristopheLoiseauArts et Métiers Institute of Technology, CNAM, DynFluid, HESAM UniversitéJ.NathanKutzDepartment of Applied Mathematics, University of WashingtonStevenL.BruntonDepartment of Mechanical Engineering, University of Washington10.21105/joss.03994https://doi.org/10.5281/zenodo.5842612Pythonhttps://joss.theoj.org/papers/10.21105/joss.03994.pdfdynamical systems, sparse regression, model discovery, system identification, machine learningtag:joss.theoj.org,2005:Paper/15102020-05-18T20:15:54Z2021-02-15T11:31:00ZPySINDy: A Python package for the sparse identification of nonlinear dynamical systems from dataacceptedv0.12.02020-02-11 01:09:30 UTC492020-05-18 20:15:54 UTC520202104BrianM.de SilvaDepartment of Applied Mathematics, University of WashingtonKathleenChampionDepartment of Applied Mathematics, University of WashingtonMarkusQuadeAmbrosys GmbHJean-ChristopheLoiseauÉcole Nationale Supérieure des Arts et MétiersJ.NathanKutzDepartment of Applied Mathematics, University of WashingtonStevenL.BruntonDepartment of Mechanical Engineering, University of Washington, Department of Applied Mathematics, University of Washington10.21105/joss.02104https://doi.org/10.5281/zenodo.3832319Pythonhttps://joss.theoj.org/papers/10.21105/joss.02104.pdfdynamical systems, sparse regression, model discovery, system identification, machine learning