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Fully Dynamic Min-Cut of Superconstant Size in Subpolynomial Time

Data Structures and Algorithms 2024-01-19 v1

Abstract

We present a deterministic fully dynamic algorithm with subpolynomial worst-case time per graph update such that after processing each update of the graph, the algorithm outputs a minimum cut of the graph if the graph has a cut of size at most cc for some c=(logn)o(1)c = (\log n)^{o(1)}. Previously, the best update time was O~(n)\widetilde O(\sqrt{n}) for any c>2c > 2 and c=O(logn)c = O(\log n) [Thorup, Combinatorica'07].

Keywords

Cite

@article{arxiv.2401.09700,
  title  = {Fully Dynamic Min-Cut of Superconstant Size in Subpolynomial Time},
  author = {Wenyu Jin and Xiaorui Sun and Mikkel Thorup},
  journal= {arXiv preprint arXiv:2401.09700},
  year   = {2024}
}

Comments

SODA 2024