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SUMMARY:Rasmus Kyng (ETH Zürich)
DTSTART:20220420T170000Z
DTEND:20220420T180000Z
DTSTAMP:20260423T021019Z
UID:TCSPlus/39
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/TCSPlus/39/"
 >Almost-Linear Time Algorithms for Maximum Flow and More</a>\nby Rasmus Ky
 ng (ETH Zürich) as part of TCS+\n\n\nAbstract\nWe give the first almost-l
 inear time algorithm for computing exact maximum flows and minimum-cost fl
 ows on directed graphs. By well-known reductions\, this implies almost-lin
 ear time algorithms for several problems including bipartite matching\, op
 timal transport\, and undirected vertex connectivity.\n\nOur algorithm use
 s a new Interior Point Method (IPM) that builds the optimal flow as a sequ
 ence of an almost-linear number of approximate undirected minimum-ratio cy
 cles\, each of which is computed and processed very efficiently using a ne
 w dynamic data structure.\n\nOur framework extends to give an almost-linea
 r time algorithm for computing flows that minimize general edge-separable 
 convex functions to high accuracy. This gives the first almost-linear time
  algorithm for several problems including entropy-regularized optimal tran
 sport\, matrix scaling\, p-norm flows\, and Isotonic regression.\n\nJoint 
 work with Li Chen\, Yang Liu\, Richard Peng\, Maximilian Probst Gutenberg\
 , and Sushant Sachdeva.\n
LOCATION:https://researchseminars.org/talk/TCSPlus/39/
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