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SUMMARY:Consensus-based optimization - Claudia Totzeck (Bergische Universi
 tät Wuppertal)
DTSTART:20220429T090000Z
DTEND:20220429T100000Z
UID:TALK171899@talks.cam.ac.uk
DESCRIPTION:Consensus-based optimization combines ideas from swarming and 
 opinion formation to minimize cost functions. A central role plays an weig
 hted average which is used to transport information through the swarm. Dur
 ing the modeling process it was taken care that&nbsp\; the dynamic and in 
 particular the weighted average allows to pass to the mean-field limit. In
  fact\, using the kinetic equation and certain assumptions on the cost fun
 ction\, it is possible to prove consensus formation near the global minimi
 zer. The talk is mainly based on joint work with Jos&eacute\; Antonio Carr
 illo\, Young-Pil Choi\, Ren&eacute\; Pinnau\, Stephan Martin and Oliver Ts
 e.
LOCATION:Seminar Room 1\, Newton Institute
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