Sparse identification of non-linear dynamics

Sparse Identification of Nonlinear Dynamics (SINDy) is a data-driven approach that aims to discover the governing equations of dynamical systems from time series data. It is particularly useful in fields such as fluid dynamics, robotics, biology, and economics, where the underlying governing equations may not be known or may be complex.