非循环匹配的参数化结果及其对相关问题的影响

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.2024.103599
Juhi Chaudhary , Meirav Zehavi
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引用次数: 0

摘要

如果 M 的边的端点所诱导的 G 子图是一个森林,那么图 G 中的匹配 M 就是非循环匹配。给定一个图 G 和 ℓ∈N,非循环匹配问 G 是否有大小至少为 ℓ 的非循环匹配。在本文中,我们证明了假设 W[1]⊈FPT 时,不存在任何 FPT 近似算法,可以在以ℓ 为参数时,以常数因子内逼近 Acyclic Matching。我们的还原也证明了诱导匹配和唯一限制匹配的 FPT 近似性。我们还考虑了 Acyclic Matching 的三个低于保证的参数,即 n2-ℓ、MM(G)-ℓ 和 IS(G)-ℓ,其中 n=V(G), MM(G) 是匹配数,IS(G) 是 G 的独立数。此外,我们还证明,除非 NP⊆coNP/poly,否则无循环匹配并不表现出关于顶点覆盖数(或顶点到小块的删除距离)加上匹配大小的多项式内核。
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Parameterized results on acyclic matchings with implications for related problems
A matching M in a graph G is an acyclic matching if the subgraph of G induced by the endpoints of the edges of M is a forest. Given a graph G and N, Acyclic Matching asks whether G has an acyclic matching of size at least . In this paper, we prove that assuming W[1]FPT, there does not exist any FPT-approximation algorithm for Acyclic Matching that approximates it within a constant factor when parameterized by . Our reduction also asserts FPT-inapproximability for Induced Matching and Uniquely Restricted Matching. We also consider three below-guarantee parameters for Acyclic Matching, viz. n2, MM(G), and IS(G), where n=V(G), MM(G) is the matching number, and IS(G) is the independence number of G. Also, we show that Acyclic Matching does not exhibit a polynomial kernel with respect to vertex cover number (or vertex deletion distance to clique) plus the size of the matching unless NPcoNP/poly.
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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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