A toolkit for data-driven discovery of governing equations in high-noise regimes

Charles B. Delahunt, J. Nathan Kutz

We consider the data-driven discovery of governing equations from time-series data in the limit of high noise. The algorithms developed describe an extensive toolkit of methods for…