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SUMMARY:R. Tyrrell Rockafellar (University of Washington)
DTSTART:20201012T133000Z
DTEND:20201012T143000Z
DTSTAMP:20260423T035027Z
UID:OWOS/21
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OWOS/21/">Au
 gmented Lagrangians and Hidden Convexity in Sufficient Conditions for Loca
 l Optimality</a>\nby R. Tyrrell Rockafellar (University of Washington) as 
 part of One World Optimization seminar\n\n\nAbstract\nSecond-order suffici
 ent conditions for local optimality have long been central to designing so
 lution algorithms and justifying claims about their convergence.  In this 
 talk a far-reaching extension of such conditions\, called variational suff
 iciency\, will be explained in territory beyond just nonlinear programming
 .  Variational sufficiency is already known to support multiplier methods 
 that are able\, even without convexity\, to achieve problem decomposition\
 , but further insight has been needed to see how it coordinates with other
  sufficient conditions.  In fact it characterizes local optimality in term
 s of having a convex-concave-type local saddle point of an augmented Lagra
 ngian function.  \n\nA stronger version of variational sufficiency corresp
 onds in turn to local strong convexity in the primal argument of that func
 tion and a property of augmented tilt stability which offers crucial aid t
 o Lagrange multiplier methods at a fundamental level of analysis.  Moreove
 r\, that strong version can be translated through second-order variational
  analysis into statements which may readily be compared to existing suffic
 ient conditions in nonlinear programming\, second-order cone programming\,
  and other problem formulations that are able to incorporate nonsmooth obj
 ectives and regularization terms.\n\nthe address and password of the zoom 
 room of the seminar are sent by e-mail on the mailinglist of the seminar o
 ne day before each talk\n
LOCATION:https://researchseminars.org/talk/OWOS/21/
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