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UID:20260407T093238EDT-2373DLoH8D@132.216.98.100
DTSTAMP:20260407T133238Z
DESCRIPTION:Title: Model-based methods in derivative-free nonsmooth optimiz
 ation\n\nAbstract:\n\nDerivative-free optimization (DFO) is the mathematic
 al study of the optimization algorithms that do not use derivatives. One b
 ranch of DFO focuses on model-based DFO methods\, where an approximation o
 f the objective function is used to guide the optimization algorithm. Hist
 orically\, model-based DFO has often assumed that the objective function i
 s smooth\, but unavailable analytically. However\, recent progress has bro
 ught model-based DFO into the realm of nonsmooth optimization. We survey s
 ome of the progress of model-based DFO for nonsmooth optimization. We begi
 n with some historical context on model-based DFO. From there\, we discuss
  methods for constructing models of smooth functions and their accuracy. T
 his leads to modelling techniques for nonsmooth functions and a discussion
  on several frameworks for model-based DFO for NSO. We conclude with some 
 opinions on profitable research directions in model-based DFO for NSO.\n
DTSTART:20190416T190000Z
DTEND:20190416T200000Z
LOCATION:Room 1205\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Warren Hare (UBC)
URL:https://www.mcgill.ca/mathstat/channels/event/warren-hare-ubc-295988
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