Machine learning is enabling the discovery of dynamical systems models and governing equations purely from measurement data. Five years after the original SINDy paper, we revisit this topic, describing the algorithm and exploring the main challenges for computing sparse nonlinear models from data. This is part of a multi-part series.
Original SINDy paper: www.pnas.org/c...
SINDy for PDEs: advances.scien...
Citable link for this video at: doi.org/10.528...
Joint work with Nathan Kutz: / @nathankutzuw
@eigensteve on Twitter
eigensteve.com
databookuw.com
This video was produced at the University of Washington
22 авг 2024