Single-exponential FPT algorithms for enumerating secluded F-free subgraphs and deleting to scattered graph classes

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE Journal of Computer and System Sciences Pub Date : 2024-10-21 DOI:10.1016/j.jcss.2024.103597
Bart M.P. Jansen , Jari J.H. de Kroon , Michał Włodarczyk
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Abstract

The celebrated notion of important separators bounds the number of small (S,T)-separators in a graph which are ‘farthest from S’ in a technical sense. In this paper, we introduce a generalization of this powerful algorithmic primitive, tailored to undirected graphs, that is phrased in terms of k-secluded vertex sets: sets with an open neighborhood of size at most k. In this terminology, the bound on important separators says that there are at most 4k maximal k-secluded connected vertex sets C containing S but disjoint from T. We generalize this statement significantly: even when we demand that G[C] avoids a finite set F of forbidden induced subgraphs, the number of such maximal subgraphs is 2O(k) and they can be enumerated efficiently. This enumeration algorithm allows us to give improved parameterized algorithms for Connected k-Secluded F-Free Subgraph and for deleting into scattered graph classes.
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枚举僻静无 F 子图和删除到分散图类的单指数 FPT 算法
著名的重要分隔符概念限定了图中在技术意义上 "离 S 最远 "的小 (S,T) 分隔符的数量。在本文中,我们针对无向图引入了这一强大算法基本原理的广义化,用 k 个排除顶点集来表述:具有大小至多为 k 的开放邻域的集合。在这个术语中,重要分隔符的约束是指最多有 4k 个最大的 k-secluded连通顶点集 C,其中包含 S 但与 T 不相交。我们对这一声明进行了显著的概括:即使我们要求 G[C] 避免有限的禁止诱导子图集 F,这种最大子图的数量也是 2O(k),而且可以高效地枚举出来。有了这种枚举算法,我们就能给出改进的参数化算法,用于连接 k-Secluded F-Free Subgraph 和删除成分散图类。
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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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