纤细的树形切割宽度

IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Algorithmica Pub Date : 2024-06-01 DOI:10.1007/s00453-024-01241-4
Robert Ganian, Viktoriia Korchemna
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引用次数: 0

摘要

树状切割宽度是一个参数,它的引入是为了获得边缘切割的树状宽度。遗憾的是,尽管树切宽度具有理想的结构特性,但作为基于边缘切割的树宽替代参数,它在算法方面却存在不足。这就导致了最近一种简单的基于边缘的参数--边缘切割宽度 [WG 2022]--的出现,它在算法上的应用正是人们所期望的边缘切割树状宽度的类似物,但却不具备理想的结构特性。在本文中,我们研究了树割宽度的一种变体,即把树割分解中所谓薄节点的阈值从 2 改为 1。我们证明,这种 "纤细树切宽度 "满足基于边缘切割的树切宽度的所有要求,无论是结构上还是算法上,同时比边缘切割宽度的限制更少。我们的研究成果还包括:通过与边缘切分宽度类似的易于使用的生成树分解来表征纤细树切宽度的另一种方法;从禁止浸入的角度表征纤细树切宽度;以及计算该参数的近似算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Slim Tree-Cut Width

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.

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来源期刊
Algorithmica
Algorithmica 工程技术-计算机:软件工程
CiteScore
2.80
自引率
9.10%
发文量
158
审稿时长
12 months
期刊介绍: Algorithmica is an international journal which publishes theoretical papers on algorithms that address problems arising in practical areas, and experimental papers of general appeal for practical importance or techniques. The development of algorithms is an integral part of computer science. The increasing complexity and scope of computer applications makes the design of efficient algorithms essential. Algorithmica covers algorithms in applied areas such as: VLSI, distributed computing, parallel processing, automated design, robotics, graphics, data base design, software tools, as well as algorithms in fundamental areas such as sorting, searching, data structures, computational geometry, and linear programming. In addition, the journal features two special sections: Application Experience, presenting findings obtained from applications of theoretical results to practical situations, and Problems, offering short papers presenting problems on selected topics of computer science.
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