Vertex Connectivity in Poly-logarithmic Max-flows
Abstract
The vertex connectivity of an -edge -vertex undirected graph is the smallest number of vertices whose removal disconnects the graph, or leaves only a singleton vertex. In this paper, we give a reduction from the vertex connectivity problem to a set of maxflow instances. Using this reduction, we can solve vertex connectivity in time for any , if there is a -time maxflow algorithm. Using the current best maxflow algorithm that runs in time (Kathuria, Liu and Sidford, FOCS 2020), this yields a -time vertex connectivity algorithm. This is the first improvement in the running time of the vertex connectivity problem in over 20 years, the previous best being an -time algorithm due to Henzinger, Rao, and Gabow (FOCS 1996). Indeed, no algorithm with an running time was known before our work, even if we assume an -time maxflow algorithm. Our new technique is robust enough to also improve the best -time bound for directed vertex connectivity to time
Cite
@article{arxiv.2104.00104,
title = {Vertex Connectivity in Poly-logarithmic Max-flows},
author = {Jason Li and Danupon Nanongkai and Debmalya Panigrahi and Thatchaphol Saranurak and Sorrachai Yingchareonthawornchai},
journal= {arXiv preprint arXiv:2104.00104},
year = {2021}
}