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Hauptverfasser: He, Zhongtian, Huang, Shang-En, Saranurak, Thatchaphol
Format: Preprint
Veröffentlicht: 2024
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Online-Zugang:https://arxiv.org/abs/2401.10856
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author He, Zhongtian
Huang, Shang-En
Saranurak, Thatchaphol
author_facet He, Zhongtian
Huang, Shang-En
Saranurak, Thatchaphol
contents Given an undirected weighted graph with $n$ vertices and $m$ edges, we give the first deterministic $m^{1+o(1)}$-time algorithm for constructing the cactus representation of \emph{all} global minimum cuts. This improves the current $n^{2+o(1)}$-time state-of-the-art deterministic algorithm, which can be obtained by combining ideas implicitly from three papers [Karger JACM'2000, Li STOC'2021, and Gabow TALG'2016] The known explicitly stated deterministic algorithm has a runtime of $\tilde{O}(mn)$ [Fleischer 1999, Nagamochi and Nakao 2000]. Using our technique, we can even speed up the fastest randomized algorithm of [Karger and Panigrahi, SODA'2009] whose running time is at least $Ω(m\log^4 n)$ to $O(m\log^3 n)$.
format Preprint
id arxiv_https___arxiv_org_abs_2401_10856
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Cactus Representation of Minimum Cuts: Derandomize and Speed up
He, Zhongtian
Huang, Shang-En
Saranurak, Thatchaphol
Data Structures and Algorithms
Given an undirected weighted graph with $n$ vertices and $m$ edges, we give the first deterministic $m^{1+o(1)}$-time algorithm for constructing the cactus representation of \emph{all} global minimum cuts. This improves the current $n^{2+o(1)}$-time state-of-the-art deterministic algorithm, which can be obtained by combining ideas implicitly from three papers [Karger JACM'2000, Li STOC'2021, and Gabow TALG'2016] The known explicitly stated deterministic algorithm has a runtime of $\tilde{O}(mn)$ [Fleischer 1999, Nagamochi and Nakao 2000]. Using our technique, we can even speed up the fastest randomized algorithm of [Karger and Panigrahi, SODA'2009] whose running time is at least $Ω(m\log^4 n)$ to $O(m\log^3 n)$.
title Cactus Representation of Minimum Cuts: Derandomize and Speed up
topic Data Structures and Algorithms
url https://arxiv.org/abs/2401.10856