Please join us this next Tuesday for a presentation on Efficient Surrogate Model Generation by John Eason and Selen Cremaschi at the University of Tulsa.
Abstract:
Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allow the use of traditional optimization algorithms for otherwise intractable problems. This talk discusses three possible algorithms for efficient surrogate model building.
A full schedule of presentations including the recorded presentation this week on "Fast NMPC and MHE" by Milan Vukov and Moritz Diehl, KU Leuven are available below:
