On finding short reconfiguration sequences between independent sets

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE
Akanksha Agrawal , Soumita Hait , Amer E. Mouawad
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引用次数: 0

Abstract

Token Sliding Optimization asks whether there exists a sequence of at most steps that transforms independent set S into T, where at each step a token slides to an unoccupied neighboring vertex (while maintaining independence). In Token Jumping Optimization, we are instead allowed to jump from a vertex to any unoccupied vertex. Both problems are known to be FPT when parameterized by on nowhere dense graphs. In this work, we show that both problems are FPT for parameter k++d on d-degenerate graphs as well as for parameter |M|++Δ on graphs having a modulator M to maximum degree Δ. We complement these results by showing that for parameter both problems become hard already on 2-degenerate graphs. Finally, we show that using such families one can obtain a unified algorithm for the standard Token Jumping problem parameterized by k on degenerate and nowhere dense graphs.

关于在独立集合之间寻找短重组序列
令牌滑动优化(Token Sliding Optimization)询问是否存在一个最多 ℓ 步的序列,能将独立集 S 转变为 T,其中每一步都有一个令牌滑动到一个未被占用的相邻顶点(同时保持独立性)。在令牌跳转优化中,我们可以从一个顶点跳转到任何一个未被占用的顶点。已知这两个问题在无处密集图上以ℓ 为参数时都是 FPT 问题。在这项研究中,我们证明了在参数 k+ℓ+d 为 d 的畸变图上,以及参数 |M|+ℓ+Δ 为最大度数 Δ 的调制器 M 的图上,这两个问题都是 FPT。最后,我们证明了利用这些族,可以在退化图和无处密集图上获得以 k 为参数的标准令牌跳跃问题的统一算法。
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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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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