A computational study of Gomory-Hu construction tree algorithms

Fuente: arXiv
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Auteur principal: Kolmogorov, Vladimir
Format: Preprint
Publié: 2022
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author Kolmogorov, Vladimir
author_facet Kolmogorov, Vladimir
contents This paper studies algorithms for computing a Gomory-Hu tree, which is a classical data structure that compactly stores all minimum $s$-$t$ cuts of an undirected weighted graph. We consider two classes of algorithms: the original method by Gomory and Hu and the method based on "OrderedCuts" that we recently proposed. We describe practical implementations of these methods, and compare them experimentally with the algorithms from the previous experimental studies by Goldberg and Tsioutsiouliklis (2001) and by Akibo et al. (2016) (designed for unweighted simple graphs). Results indicate that the method based on OrderedCuts is the most robust, and often outperforms other implementations by a large factor.
format Preprint
id arxiv_https___arxiv_org_abs_2204_10169
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle A computational study of Gomory-Hu construction tree algorithms
Kolmogorov, Vladimir
Data Structures and Algorithms
This paper studies algorithms for computing a Gomory-Hu tree, which is a classical data structure that compactly stores all minimum $s$-$t$ cuts of an undirected weighted graph. We consider two classes of algorithms: the original method by Gomory and Hu and the method based on "OrderedCuts" that we recently proposed. We describe practical implementations of these methods, and compare them experimentally with the algorithms from the previous experimental studies by Goldberg and Tsioutsiouliklis (2001) and by Akibo et al. (2016) (designed for unweighted simple graphs). Results indicate that the method based on OrderedCuts is the most robust, and often outperforms other implementations by a large factor.
title A computational study of Gomory-Hu construction tree algorithms
topic Data Structures and Algorithms
url https://arxiv.org/abs/2204.10169