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arXiv 2105.02401math.PRmath.CO
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通过随机 $K$-out-of-$N$ 系统评估图可靠性

Graph reliability evaluation via random $K$-out-of-$N$ systems

Hiroaki Mohri, Jun-ichi Takeshita

AI总结:

该研究将简单连通无向图关联到随机 $K$-out-of-$N$ 系统,以推导图生成过程中边数的递推关系,并通过简单图示例说明边失效下的可靠性评估。

摘要:

本研究关注简单连通无向图的网络失效问题。在假设只有边会失效且每条边具有相同失效分布的条件下,连通图会因边失效而变得不连通。本研究的主要目的是展示图生成过程中关于边数的递推关系。为此,将简单连通无向图与随机 $K$-out-of-$N$ 系统相关联,并应用了此类系统的关键特征。此外,还分析了一些简单图情形和示例。

英文摘要:

The present study was concerned with network failure problems for simple connected undirected graphs. A connected graph becomes unconnected through edge failure, under the assumptions that only edges can fail and each edge has an identical failure distribution. The main purpose of the present study was to show recurrent relations with respect to the number of edges in graph generation procedures. To this end, simple connected undirected graphs were correlated to random $K$-out-of-$N$ systems, and key features of such systems were applied. In addition, some simple graph cases and examples were analyzed.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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