TCS+ Talk
Online Event
Faster Algorithms for Unit Maximum Flow
Yang Liu,
Stanford University,
Abstract: The maximum flow problem is one of the most well-studied problems in combinatorial optimization, encompassing a broad range of cut, matching, and scheduling problems. Here we present a recent line of work obtaining provably faster algorithms for solving the maximum flow problem using interior point methods. In particular, we show how to solve the maximum flow problem in m-edge unit capacity graphs in time almost m^(4/3), improving over the breakthrough m^(10/7) time algorithm of Mądry.
This is based on joint work with Aaron Sidford (https://arxiv.org/abs/1910.14276, https://arxiv.org/abs/2003.08929).
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Event Series
TCS+ Talks