缺k边时间图的探索

IF 0.4 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Acta Informatica Pub Date : 2022-08-27 DOI:10.1007/s00236-022-00421-5
Thomas Erlebach, Jakob T. Spooner
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引用次数: 2

摘要

一个生存期为L的时间图是L个图的序列\(G_1, \ldots ,G_L\),称为层,它们都有相同的顶点集V,但可以有不同的边集。底层图是顶点集V的图,它包含至少在一个层中出现的所有边。如果每一层都是连通图,则时间图总是连通的;如果每一层包含底层图的除最多k条边以外的所有边,则时间图是缺k边的。对于给定的起始顶点s,时间探索是从s开始的时间行走,在每层中最多遍历一条边,并访问时间图的所有顶点。我们证明了具有足够寿命的总是连通的,k边缺陷的时间图总是可以在\(O(kn \log n)\)时间步长中探索。我们还构造了总是连通的、缺少k边的时间图,其中任何探索都需要\(\varOmega (n \log k)\)时间步长。对于总是连通的,缺乏1边的时间图,我们证明O(n)个时间步足以进行时间探索。
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Exploration of k-edge-deficient temporal graphs

A temporal graph with lifetime L is a sequence of L graphs \(G_1, \ldots ,G_L\), called layers, all of which have the same vertex set V but can have different edge sets. The underlying graph is the graph with vertex set V that contains all the edges that appear in at least one layer. The temporal graph is always connected if each layer is a connected graph, and it is k-edge-deficient if each layer contains all except at most k edges of the underlying graph. For a given start vertex s, a temporal exploration is a temporal walk that starts at s, traverses at most one edge in each layer, and visits all vertices of the temporal graph. We show that always-connected, k-edge-deficient temporal graphs with sufficient lifetime can always be explored in \(O(kn \log n)\) time steps. We also construct always-connected, k-edge-deficient temporal graphs for which any exploration requires \(\varOmega (n \log k)\) time steps. For always-connected, 1-edge-deficient temporal graphs, we show that O(n) time steps suffice for temporal exploration.

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来源期刊
Acta Informatica
Acta Informatica 工程技术-计算机:信息系统
CiteScore
2.40
自引率
16.70%
发文量
24
审稿时长
>12 weeks
期刊介绍: Acta Informatica provides international dissemination of articles on formal methods for the design and analysis of programs, computing systems and information structures, as well as related fields of Theoretical Computer Science such as Automata Theory, Logic in Computer Science, and Algorithmics. Topics of interest include: • semantics of programming languages • models and modeling languages for concurrent, distributed, reactive and mobile systems • models and modeling languages for timed, hybrid and probabilistic systems • specification, program analysis and verification • model checking and theorem proving • modal, temporal, first- and higher-order logics, and their variants • constraint logic, SAT/SMT-solving techniques • theoretical aspects of databases, semi-structured data and finite model theory • theoretical aspects of artificial intelligence, knowledge representation, description logic • automata theory, formal languages, term and graph rewriting • game-based models, synthesis • type theory, typed calculi • algebraic, coalgebraic and categorical methods • formal aspects of performance, dependability and reliability analysis • foundations of information and network security • parallel, distributed and randomized algorithms • design and analysis of algorithms • foundations of network and communication protocols.
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