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SUMMARY:Stephen Wright (University of Wisconsin)
DTSTART:20200928T133000Z
DTEND:20200928T143000Z
DTSTAMP:20260423T021005Z
UID:OWOS/19
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OWOS/19/">Se
 cond-Order Methods for Nonconvex Optimization with Complexity Guarantees</
 a>\nby Stephen Wright (University of Wisconsin) as part of One World Optim
 ization seminar\n\n\nAbstract\nWidely used algorithms for smooth nonconvex
  optimization problems - unconstrained\, bound-constrained\, and general e
 quality-constrained - can be modified slightly to ensure that approximate 
 first- and\nsecond-order optimal points are found\, with complexity guaran
 tees that depend on the desired accuracy. We discuss methods constructed f
 rom Newton's method\, conjugate gradients\, randomized Lanczos\, trust-reg
 ion\nframeworks\, log-barrier\, and augmented Lagrangians. We derive upper
  bounds on various measures of complexity in terms of the tolerances requi
 red. Our methods use Hessian information only in the form of Hessian-vecto
 r products - an operation that does not require the Hessian itself to be e
 valuated or stored explicitly.\n\nthe address and password of the zoom roo
 m of the seminar are sent by e-mail on the mailinglist of the seminar one 
 day before each talk\n
LOCATION:https://researchseminars.org/talk/OWOS/19/
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