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UID:20260729T102919EDT-3371fvexOn@132.216.98.100
DTSTAMP:20260729T142919Z
DESCRIPTION:Title: Model-based methods in derivative-free nonsmooth optimiz
 ation\n\nAbstract: Derivative-free optimization (DFO) is the mathematical 
 study of the optimization algorithms that do not use derivatives. One bran
 ch of DFO focuses on model-based DFO methods\, where an approximation of t
 he objective function is used to guide the optimization algorithm. Histori
 cally\, model-based DFO has often assumed that the objective function is s
 mooth\, but unavailable analytically. However\, recent progress has brough
 t model-based DFO into the realm of nonsmooth optimization. We survey some
  of the progress of model-based DFO for nonsmooth optimization. We begin w
 ith some historical context on model-based DFO. From there\, we discuss me
 thods for constructing models of smooth functions and their accuracy. This
  leads to modelling techniques for nonsmooth functions and a discussion on
  several frameworks for model-based DFO for NSO. We conclude with some opi
 nions on profitable research directions in model-based DFO for NSO.\n
DTSTART:20190214T210000Z
DTEND:20190214T220000Z
LOCATION:Room 1205\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Warren Hare\, UBC - Cancelled
URL:https://www.mcgill.ca/mathstat/channels/event/warren-hare-ubc-cancelled
 -294456
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