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Rainbow Connections of Graphs / by Xueliang Li, Yuefang Sun
(SpringerBriefs in Mathematics. ISSN:21918201)

1st ed. 2012.
出版者 (New York, NY : Springer New York : Imprint: Springer)
出版年 2012
本文言語 英語
大きさ VIII, 103 p : online resource
著者標目 *Li, Xueliang author
Sun, Yuefang author
SpringerLink (Online service)
件 名 LCSH:Graph theory
LCSH:Data structures (Computer science)
LCSH:Information theory
LCSH:Number theory
FREE:Graph Theory
FREE:Data Structures and Information Theory
FREE:Number Theory
一般注記 1. Introduction (Motivation and definitions, Terminology and notations) -- 2. (Strong) Rainbow connection number(Basic results, Upper bounds for rainbow connection number, For some graph classes, For dense and sparse graphs, For graph operations, An upper bound for strong rainbow connection number) -- 3. Rainbow k-connectivity --  4. k-rainbow index -- 5. Rainbow vertex-connection number -- 6. Algorithms and computational complexity -- References
Rainbow connections are natural combinatorial measures that are used in applications to secure the transfer of classified information between agencies in communication networks. Rainbow Connections of Graphs covers this new and emerging topic in graph theory and brings together a majority of the results that deal with the concept of rainbow connections, first introduced by Chartrand et al. in 2006. The authors begin with an introduction to rainbow connectedness, rainbow coloring, and  rainbow connection number. The work is organized into the following categories, computation of the exact values of the rainbow connection numbers for some special graphs, algorithms and complexity analysis, upper bounds in terms of other graph parameters, rainbow connection for dense and sparse graphs, for some graph classes and graph products, rainbow k-connectivity and k-rainbow index, and, rainbow vertex-connection number. Rainbow Connections of Graphs appeals to researchers and graduate students in the field of graph theory. Conjectures, open problems and questions are given throughout the text with the  hope for motivating young graph theorists and graduate students to do further study in this subject
HTTP:URL=https://doi.org/10.1007/978-1-4614-3119-0
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ISBN 9781461431190

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