Integrating Data Methods and Dynamical Systems
SPRING QUARTER 2016 — NONLINEAR MODEL REDUCTION (Featuring Dr. Kevin Carlberg, Sandia)
WINTER QUARTER 2016 — DATA-DRIVEN DISCOVERY OF DYNAMICAL SYSTEMS
Lecture 1 (Bethany Lusch)
- M. Schmidt and H. Lipson, Distilling Free-Form Natural Laws from Experimental Data, Science 324 (2009) 81-85.
- A response to this paper from C. Hillar and F. Sommer, Comment on Distilling Free-Form Natural Laws from Experimental Data, arxiv1210.7273.
- A response from Schmidt/Lipson to Hillar/Sommer, Rebuttal of rebuttal, arxiv1210.7273.
Lecture 2 (Sam Rudy)
- W.-X. Wang, R. Yang, Y.-C. Lai, V. Kovanis and C. Grebori, Predicting Catastrophes in Nonlinear Dynamical Systems by Compressive Sensing, Phys. Rev. Lett. 106 (2011) 154101.
Lecture 3 (Niall Mangan)
- I. Arnaldo, U.-M. O’Reilly and K. Veeramachaneni Building Predictive Models via Feature Synthesis, GECCO 2015.