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A - Graph Theory

Published online by Cambridge University Press:  05 June 2012

Thomas E. Stern
Affiliation:
Columbia University, New York
Georgios Ellinas
Affiliation:
University of Cyprus
Krishna Bala
Affiliation:
Xtellus, New Jersey
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Summary

Graph and hypergraph terminology has evolved over the years. The following definitions are adapted from [Berge89, Bermond+97, Chartrand+96]. Some of the material in this appendix is found in other parts of the book. It is repeated here for convenience.

Graphs

A graph G consists of a set of vertices V(G) and a set of edges E(G), where each edge e is a pair of distinct vertices (u, v). (If the two vertices are the same, then the edge is a loop. We rule out these cases.) A graph with vertex set V and edge set E is typically denoted by G(V, E). If e = (u, v), then u and v are adjacent vertices and e is incident on u and v. Two edges are adjacent if they are incident on the same vertex. Nonadjacent edges or nonadjacent vertices are called independent. A set of pairwise independent vertices of a graph G, which is of maximal cardinality, is called a maximal independent set. Figure A.1 shows an example of a maximal independent set of vertices (outlined in dashed circles).

A graph in which every two vertices are adjacent is called a complete or fully connected graph. The complete graph with n vertices is denoted by Kn. Figure A.2 shows K5.

A graph G is called bipartite if its vertices can be partitioned into two subsets, V1 and V2, (called partite sets) such that every edge of G joins a vertex in V1 to one in V2.

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Chapter
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Multiwavelength Optical Networks
Architectures, Design, and Control
, pp. 869 - 878
Publisher: Cambridge University Press
Print publication year: 2008

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