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SUMMARY:Lindon Roberts (University of Sydney)
DTSTART:20231012T020000Z
DTEND:20231012T030000Z
DTSTAMP:20260423T024751Z
UID:OneSchool/5
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OneSchool/5/
 ">Blackbox Optimisation Algorithms</a>\nby Lindon Roberts (University of S
 ydney) as part of OneSchool Seminar\n\nLecture held in Quad S249 & Online.
 \n\nAbstract\nNumerical optimisation - being able to find maxima/minima of
  functions - is an important part in numerical analysis\, with many applic
 ations across different disciplines. This problem becomes much harder if o
 nly limited information about the functions is available - no analytic exp
 ression and/or no exact function values available\, for example. In this c
 ase\, specialised techniques known as 'blackbox optimisation' must be used
 . In this talk\, I will give an overview of some useful techniques for bla
 ckbox optimisation and some recent work on improving the scalability of th
 ese techniques using tools from random matrix theory.\n
LOCATION:https://researchseminars.org/talk/OneSchool/5/
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