Fully Dynamic Electrical Flows: Sparse Maxflow Faster Than Goldberg-Rao

发布者:实验室发布时间:2024-05-08浏览次数:11

Abstract

We give an algorithm for computing exact maximum flows on graphs with m edges and integer capacities in the range [1, U] in O(m^1.497 polylog(m) log(U)) time. For sparse graphs with polynomially bounded integer capacities, this is the first improvement over the O(m^1.5 polylog(m) log(U)) time bound from [Goldberg-Rao JACM '98].


Our algorithm revolves around dynamically maintaining the augmenting electrical flows at the core of the interior point method based algorithm from [Mądry JACM '16]. This entails designing data structures that, in limited settings, return edges with large electric energy in a graph undergoing resistance updates.


Joint work with Yang P. Liu and Richard Peng. https://arxiv.org/abs/2101.07233


Time

2024年4月6日  15:00--16:00 

Speaker

Yu Gao is a PhD student from the Algorithms, Combinatorics and Optimization program of Georgia Institute of Technology.

Room

信息学院602室


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