PySINDy: A comprehensive Python package for robust sparse system identification. (arXiv:2111.08481v2 [eess.SY] UPDATED)

Web: http://arxiv.org/abs/2111.08481

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
differential equations from noisy and limited data. The library of candidate
terms is extended for the …

arxiv identification package python