The 4-Set Tree Connectivity of Folded Hypercube

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS
Junzhen Wang, Shumin Zhang, Bo Zhu
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引用次数: 0

Abstract

The [Formula: see text]-set tree connectivity, as a natural extension of classical connectivity, is a very important index to evaluate the fault-tolerance of interconnection networks. Let [Formula: see text] be a connected graph and a subset [Formula: see text], an [Formula: see text]-tree of graph [Formula: see text] is a tree [Formula: see text] that contains all the vertices of [Formula: see text] and [Formula: see text]. Two [Formula: see text]-trees [Formula: see text] and [Formula: see text] are internally disjoint if and only if [Formula: see text] and [Formula: see text]. The cardinality of maximum internally disjoint [Formula: see text]-trees is defined as [Formula: see text], and the [Formula: see text]-set tree connectivity is defined by [Formula: see text]. In this paper, we show that the [Formula: see text]-set tree connectivity of folded hypercube when [Formula: see text], that is, [Formula: see text], where [Formula: see text] is folded hypercube for [Formula: see text].
折叠超立方体的 4 集树连接性
公式:见正文]集树连通性作为经典连通性的自然扩展,是评价互连网络容错性的一个非常重要的指标。设[式:见文]是一个连通图和一个子集[式:见文],图[式:见文]的[式:见文]树是包含[式:见文]和[式:见文]所有顶点的树[式:见文]。当且仅当[公式:见文本]和[公式:见文本]是两棵[公式:见文本]树时,[公式:见文本]和[公式:见文本]内部不相交。最大内部不相交[式:见文本]-树的心数定义为[式:见文本],[式:见文本]-集树的连通性定义为[式:见文本]。本文证明,当[式:见文]时,折叠超立方体的[式:见文]集树连通性为[式:见文],即[式:见文],其中[式:见文]为[式:见文]的折叠超立方体。
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来源期刊
International Journal of Foundations of Computer Science
International Journal of Foundations of Computer Science 工程技术-计算机:理论方法
CiteScore
1.60
自引率
12.50%
发文量
63
审稿时长
3 months
期刊介绍: The International Journal of Foundations of Computer Science is a bimonthly journal that publishes articles which contribute new theoretical results in all areas of the foundations of computer science. The theoretical and mathematical aspects covered include: - Algebraic theory of computing and formal systems - Algorithm and system implementation issues - Approximation, probabilistic, and randomized algorithms - Automata and formal languages - Automated deduction - Combinatorics and graph theory - Complexity theory - Computational biology and bioinformatics - Cryptography - Database theory - Data structures - Design and analysis of algorithms - DNA computing - Foundations of computer security - Foundations of high-performance computing
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