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DTSTART:20170312T070000
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UID:69ce95f65ffb1
DTSTART;TZID=America/Toronto:20180112T093000
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TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/combinatorics-and-optimization/events/special-semi
 nar-cong-han-lim
LOCATION:MC - Mathematics &amp; Computer Building 200 University Avenue West 55
 01 Waterloo ON N2L 3G1 Canada
SUMMARY:Special Seminar - Cong Han Lim
CLASS:PUBLIC
DESCRIPTION:TITLE: Towards Large-Scale Nonconvex/Stochastic Discrete Optim
 ization\n\nSpeaker:\n Cong Han Lim\n\nAffiliation:\n University of Wiscons
 in-Madison\n\nRoom:\n MC 5501\n\nABSTRACT:\n\nModern data analytics is pow
 ered by scalable mathematical optimization\nmethods. For decision-making\,
  we want to be able to solve large-scale\nmathematical problems that inclu
 de discrete choices or structures.\nThese can already be very challenging 
 to solve exactly even when the\nobjective and feasible region are convex.
DTSTAMP:20260402T161446Z
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