最小分离器重新配置

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE
Guilherme C.M. Gomes , Clément Legrand-Duchesne , Reem Mahmoud , Amer E. Mouawad , Yoshio Okamoto , Vinicius F. dos Santos , Tom C. van der Zanden
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引用次数: 0

摘要

我们研究了在有限简单图上重新配置分隔符的问题。我们考虑了该问题的几种变体,重点是令牌滑动和跳跃模型。我们首先提出了一种多项式时间算法,它能计算(如果存在)最短的滑动序列,另一种算法能判断是否存在跳跃序列,并输出见证序列。我们还证明,判断是否存在一个最多跳转的重构序列是一个不完全问题。作为对这一结果的补充,我们研究了该问题自然参数化的参数化复杂度:最小分隔符的大小和跳跃次数。我们的研究表明,该问题的参数化复杂度为 ,但它并不承认一个多项式内核,除非 。我们的最终结果是一个具有顶点和边的内核。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minimum separator reconfiguration

We study the problem of reconfiguring s-t-separators on finite simple graphs. We consider several variants of the problem, focusing on the token sliding and jumping models. We begin with a polynomial-time algorithm that computes (if one exists) a shortest sequence of slides and another that decides if a sequence of jumps exists and outputs a witnessing sequence. We also show that deciding if a reconfiguration sequence of at most jumps exists is an NP-complete problem. To complement this result, we investigate the parameterized complexity of the natural parameterizations of the problem: by the size k of the minimum s-t-separators and by the number of jumps . We show that the problem is in FPT parameterized by k, but that it does not admit a polynomial kernel unless NPcoNP/poly. Our final result is a kernel with O(2) vertices and edges.

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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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