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SUMMARY:Lieven Vandenberghe (UCLA)
DTSTART:20210308T143000Z
DTEND:20210308T153000Z
DTSTAMP:20260423T021019Z
UID:OWOS/39
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OWOS/39/">Br
 egman Proximal Methods for Semidefinite Optimization</a>\nby Lieven Vanden
 berghe (UCLA) as part of One World Optimization seminar\n\n\nAbstract\nGen
 eralized proximal methods based on Bregman distances offer the possibility
  of matching the distance to the structure in the problem\, with the goal 
 of reducing the complexity per iteration. In semidefinite optimization\, t
 he use of a generalized distance can allow us to avoid expensive eigendeco
 mpositions\, needed in standard proximal methods for Euclidean projections
  on the positive semidefinite cone. We discuss applications to sparse semi
 definite optimization\, and to other types of structure that are common in
  control and signal processing\, such as Toeplitz structure.\n\nThe addres
 s and password of the zoom room of the seminar are sent by e-mail on the m
 ailinglist of the seminar one day before each talk\n
LOCATION:https://researchseminars.org/talk/OWOS/39/
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