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SUMMARY:Ronald de Wolf (CWI and Universiteit van Amsterdam)
DTSTART:20200910T130000Z
DTEND:20200910T135500Z
DTSTAMP:20260404T132232Z
UID:HAC/2
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/HAC/2
 /">Efficient algorithms for graph sparsification</a>\nby Ronald de Wolf (C
 WI and Universiteit van Amsterdam) as part of Heilbronn Annual Conference 
 2020\n\n\nAbstract\nGraphs occur everywhere in discrete mathematics\, but 
 also in practical problems in logistics\, the internet\, social networks\,
  etc. Sparse graphs (i.e.\, ones with few edges) are easier to handle than
  dense graphs: they take less space to store and are often cheaper to comp
 ute on. A long line of work by Karger\, Spielman\, Teng\, and others resul
 ted in nearly-linear-time algorithms that can sparsify any given n-vertex 
 graph G to another n-vertex graph H whose number of edges is only O(n)\, w
 hile preserving many important properties of G. This then gives nearly-lin
 ear-time algorithms for solving various cut problems in graphs\, for graph
  partitioning\, and for solving Laplacian linear systems. We will describe
  these developments\, and end with our recent work with Simon Apers showin
 g that *quantum* algorithms can even compute such a good graph sparsificat
 ion in sublinear time.\n
LOCATION:https://stable.researchseminars.org/talk/HAC/2/
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