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苗条树割宽

Slim Tree-Cut Width.

作者信息

Ganian Robert, Korchemna Viktoriia

机构信息

Algorithms and Complexity Group, TU Wien, Vienna, Austria.

出版信息

Algorithmica. 2024;86(8):2714-2738. doi: 10.1007/s00453-024-01241-4. Epub 2024 Jun 1.

DOI:10.1007/s00453-024-01241-4
PMID:39072212
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11272708/
Abstract

Tree-cut width is a parameter that has been introduced as an attempt to obtain an analogue of treewidth for edge cuts. Unfortunately, in spite of its desirable structural properties, it turned out that tree-cut width falls short as an edge-cut based alternative to treewidth in algorithmic aspects. This has led to the very recent introduction of a simple edge-based parameter called edge-cut width [WG 2022], which has precisely the algorithmic applications one would expect from an analogue of treewidth for edge cuts, but does not have the desired structural properties. In this paper, we study a variant of tree-cut width obtained by changing the threshold for so-called thin nodes in tree-cut decompositions from 2 to 1. We show that this "slim tree-cut width" satisfies all the requirements of an edge-cut based analogue of treewidth, both structural and algorithmic, while being less restrictive than edge-cut width. Our results also include an alternative characterization of slim tree-cut width via an easy-to-use spanning-tree decomposition akin to the one used for edge-cut width, a characterization of slim tree-cut width in terms of forbidden immersions as well as approximation algorithm for computing the parameter.

摘要

树割宽度是为了尝试获得边割的树宽类似物而引入的一个参数。不幸的是,尽管它具有理想的结构特性,但事实证明,在算法方面,树割宽度作为基于边割的树宽替代方案存在不足。这导致了最近引入了一个简单的基于边的参数,称为边割宽度[WG 2022],它具有人们从边割的树宽类似物所期望的算法应用,但不具有理想的结构特性。在本文中,我们研究了树割宽度的一个变体,通过将树割分解中所谓瘦节点的阈值从2改为1得到。我们表明,这种“苗条树割宽度”满足基于边割的树宽类似物的所有结构和算法要求,同时比边割宽度限制更少。我们的结果还包括通过类似于用于边割宽度的易于使用的生成树分解对苗条树割宽度的另一种刻画,根据禁止浸入对苗条树割宽度的刻画以及计算该参数的近似算法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2b/11272708/8dbeae8b1ad4/453_2024_1241_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2b/11272708/6eac6fde18b9/453_2024_1241_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2b/11272708/0062dce2a5e9/453_2024_1241_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2b/11272708/f26dbf09c4ef/453_2024_1241_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2b/11272708/8e65419b636e/453_2024_1241_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2b/11272708/8dbeae8b1ad4/453_2024_1241_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2b/11272708/6eac6fde18b9/453_2024_1241_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2b/11272708/0062dce2a5e9/453_2024_1241_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2b/11272708/f26dbf09c4ef/453_2024_1241_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2b/11272708/8e65419b636e/453_2024_1241_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2b/11272708/8dbeae8b1ad4/453_2024_1241_Fig5_HTML.jpg

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本文引用的文献

1
The Power of Cut-Based Parameters for Computing Edge-Disjoint Paths.用于计算边不相交路径的基于割的参数的力量。
Algorithmica. 2021;83(2):726-752. doi: 10.1007/s00453-020-00772-w. Epub 2020 Oct 21.
2
New algorithms for maximum disjoint paths based on tree-likeness.基于树状结构的最大不相交路径新算法。
Math Program. 2018;171(1):433-461. doi: 10.1007/s10107-017-1199-3. Epub 2017 Nov 14.