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UID:c2923c689a162595178d495aee60ec18
DTSTAMP:20260720T165325Z
SUMMARY:Solving linear vector optimization problems with the Alternating Di
 rection Method of Multipliers
DESCRIPTION:Contact: pontus.giselsson@control.lth.se\n\nSpeakerDaniel Herna
 ndez EscobarAbstractWe consider the numerical solution of optimization pro
 blems with vector-valued objectives\, where preferences are encoded by a g
 eneralized inequality rather than the usual componentwise order. We focus 
 on the linear case and propose a highly parallelizable solution strategy b
 ased on the Alternating Direction Method of Multipliers (ADMM). The propos
 ed method can exploit GPUs or TPUs to achieve fast convergence to accuracy
  levels that are typically sufficient in practice. It is also sufficiently
  robust to support extensions such as Pareto navigation and alternative wa
 rm-start strategies. We illustrate the approach on problems in which the g
 eneralized inequality is induced by the Lorentz cone.\n\nMore information 
 about the event: https://www.control.lth.se/calendar/solving-linear-vector
 -optimization-problems-alternating-direction-method-multipliers
DTSTART;TZID=GMT:20260213T121557
DTEND;TZID=GMT:20260213T130057
LOCATION:Seminar Room M 3170-73 in the M-building\, LTH
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