Deterministic Min-cut in Poly-logarithmic Max-flows
Jason Li, Debmalya Panigrahi

TL;DR
This paper presents a deterministic polylogarithmic max-flow based algorithm for finding minimum cuts in graphs, improving the previous best time bounds and introducing the novel concept of isolating cuts.
Contribution
It introduces a new deterministic algorithm for minimum cuts with polylogarithmic max-flow calls and the isolating cut lemma, advancing the efficiency of graph cut computations.
Findings
First deterministic polylogarithmic max-flow min-cut algorithm
Improved running time bounds for weighted and unweighted graphs
Introduction of the isolating cut lemma for efficient vertex separation
Abstract
We give a deterministic algorithm for finding the minimum (weight) cut of an undirected graph on vertices and edges using calls to any maximum flow subroutine. Using the current best deterministic maximum flow algorithms, this yields an overall running time of for weighted graphs, and for unweighted (multi)-graphs. This marks the first improvement for this problem since a running time bound of was established by several papers in the early 1990s. Our global minimum cut algorithm is obtained as a corollary of a minimum Steiner cut algorithm, where a minimum Steiner cut is a minimum (weight) set of edges whose removal disconnects at least one pair of vertices among a designated set of terminal vertices. The running time of our deterministic minimum Steiner cut algorithm matches that of…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Optimization and Search Problems
