PySINDy: A comprehensive Python package for robust sparse system identification

Volume: 7, Issue: 69, Pages: 3994 - 3994
Published: Jan 29, 2022
Abstract
Automated data-driven modeling, the process of directly discovering the governing equations of a system from data, is increasingly being used across the scientific community. PySINDy is a Python package that provides tools for applying the sparse identification of nonlinear dynamics (SINDy) approach to data-driven model discovery. In this major update to PySINDy, we implement several advanced features that enable the discovery of more general...
Paper Details
Title
PySINDy: A comprehensive Python package for robust sparse system identification
Published Date
Jan 29, 2022
Volume
7
Issue
69
Pages
3994 - 3994
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.