The Algorithms for the Eulerian Cycle and Eulerian Trail Problems for a Multiple Graph

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS
A. V. Smirnov
{"title":"The Algorithms for the Eulerian Cycle and Eulerian Trail Problems for a Multiple Graph","authors":"A. V. Smirnov","doi":"10.3103/S0146411624700342","DOIUrl":null,"url":null,"abstract":"<p>In this article, we consider undirected multiple graphs of any natural multiplicity <i>k</i> &gt; 1. A multiple graph contains edges of three types: ordinary edges, multiple edges, and multiedges. Each edge of the last two types is a union of <i>k</i> linked edges that connect 2 or (<i>k</i> + 1) vertices, correspondingly. The linked edges should be used simultaneously. If a vertex is incident to a multiple edge, then it can be incident to other multiple edges, and it can also be the common end of <i>k</i> linked edges of a multiedge. If a vertex is the common end of a multiedge, then it cannot be the common end of another multiedge. We set the problem of finding the Eulerian walk (the cycle or the trail) in a multiple graph, which generalizes the classical problem for an ordinary graph. The necessary conditions of existence of an Eulerian walk in a multiple graph are formulated; it is shown that these conditions are not sufficient. In addition, it is shown that the necessary conditions of existence of an Eulerian cycle and an Eulerian trail are not mutually exclusive for an arbitrary multiple graph; therefore, it is possible to construct a multiple graph in which two types of Eulerian walks exist simultaneously. Any multiple graph can be juxtaposed to the ordinary graph with quasi-vertices, which represents the structure of the initial graph in a simpler form. In particular, each Eulerian walk in the multiple graph corresponds to the Eulerian walk in the graph with quasi-vertices. The algorithm for constructing such a graph is formulated. The auxiliary problem of finding the covering trails with the given endpoints in an ordinary graph is also considered, and two algorithms for solving it are obtained. We elaborate the algorithm for finding the Eulerian walk in a multiple graph, which has exponential complexity. For the special case of a multiple graph, a polynomial algorithm is proposed; it is shown that in this special case the necessary conditions of existence of an Eulerian walk are sufficient.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 7","pages":"889 - 903"},"PeriodicalIF":0.6000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0146411624700342","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

In this article, we consider undirected multiple graphs of any natural multiplicity k > 1. A multiple graph contains edges of three types: ordinary edges, multiple edges, and multiedges. Each edge of the last two types is a union of k linked edges that connect 2 or (k + 1) vertices, correspondingly. The linked edges should be used simultaneously. If a vertex is incident to a multiple edge, then it can be incident to other multiple edges, and it can also be the common end of k linked edges of a multiedge. If a vertex is the common end of a multiedge, then it cannot be the common end of another multiedge. We set the problem of finding the Eulerian walk (the cycle or the trail) in a multiple graph, which generalizes the classical problem for an ordinary graph. The necessary conditions of existence of an Eulerian walk in a multiple graph are formulated; it is shown that these conditions are not sufficient. In addition, it is shown that the necessary conditions of existence of an Eulerian cycle and an Eulerian trail are not mutually exclusive for an arbitrary multiple graph; therefore, it is possible to construct a multiple graph in which two types of Eulerian walks exist simultaneously. Any multiple graph can be juxtaposed to the ordinary graph with quasi-vertices, which represents the structure of the initial graph in a simpler form. In particular, each Eulerian walk in the multiple graph corresponds to the Eulerian walk in the graph with quasi-vertices. The algorithm for constructing such a graph is formulated. The auxiliary problem of finding the covering trails with the given endpoints in an ordinary graph is also considered, and two algorithms for solving it are obtained. We elaborate the algorithm for finding the Eulerian walk in a multiple graph, which has exponential complexity. For the special case of a multiple graph, a polynomial algorithm is proposed; it is shown that in this special case the necessary conditions of existence of an Eulerian walk are sufficient.

Abstract Image

多图的欧拉循环和欧拉轨迹问题的算法
在本文中,我们考虑任意自然多重k >;1. 一个多重图包含三种类型的边:普通边、多重边和多重边。最后两种类型的每条边都是k条连接边的并,这些连接边对应地连接了2个或(k + 1)个顶点。连接边应同时使用。如果一个顶点关联到一条多边,那么它也可以关联到其他多条边,它也可以是一条多边的k条连接边的公共端。如果一个顶点是一条多边的公共端,那么它就不能是另一条多边的公共端。我们提出了在多图中求欧拉行走(循环或轨迹)的问题,这是对普通图的经典问题的推广。给出了多重图中欧拉行走存在的必要条件;结果表明,这些条件是不充分的。此外,还证明了对于任意多重图,欧拉环和欧拉尾存在的必要条件是不互斥的;因此,可以构造两种欧拉行走同时存在的多重图。任意多图都可以与带拟顶点的普通图并置,以一种更简单的形式表示初始图的结构。特别是,多重图中的每个欧拉行走对应于具有拟顶点的图中的欧拉行走。给出了构造这种图的算法。考虑了在普通图中寻找具有给定端点的覆盖轨迹的辅助问题,并给出了求解该问题的两种算法。我们详细阐述了在具有指数复杂度的多重图中寻找欧拉行走的算法。针对多图的特殊情况,提出了一种多项式算法;在这种特殊情况下,证明欧拉行走存在的必要条件是充分的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
期刊介绍: Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信