Chromatic Graph Theory

Regular price €235.60
A01=Gary Chartrand
A01=Ping Zhang
Adjacent Vertices
Author_Gary Chartrand
Author_Ping Zhang
Bipartite Graph
Category=PBV
channel assignment problem
chromatic graph theory
chromatic index
Chromatic Number
Color Conjecture
Color Theorem
Complete Bipartite Graph
Complete Subgraphs
Connected Graph
distance colorings
Distinct Vertices
Edge Colorings
Edges Incident
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
four color problem
Gary Chartrand
graph colorings
Greedy Coloring
Hamiltonian Cycle
Hamiltonian Path
Independent Sets
Induced Subgraph
list colorings
Nonadjacent Vertices
Odd Cycle
Partite Set
Petersen Graph
Planar Graph
Pppppp Pppppp
Proper Vertex Coloring
rainbow colorings
Ramsey numbers
Red Blue Coloring
vertex colorings

Product details

  • ISBN 9781584888000
  • Weight: 839g
  • Dimensions: 156 x 234mm
  • Publication Date: 22 Sep 2008
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Beginning with the origin of the four color problem in 1852, the field of graph colorings has developed into one of the most popular areas of graph theory. Introducing graph theory with a coloring theme, Chromatic Graph Theory explores connections between major topics in graph theory and graph colorings as well as emerging topics.

This self-contained book first presents various fundamentals of graph theory that lie outside of graph colorings, including basic terminology and results, trees and connectivity, Eulerian and Hamiltonian graphs, matchings and factorizations, and graph embeddings. The remainder of the text deals exclusively with graph colorings. It covers vertex colorings and bounds for the chromatic number, vertex colorings of graphs embedded on surfaces, and a variety of restricted vertex colorings. The authors also describe edge colorings, monochromatic and rainbow edge colorings, complete vertex colorings, several distinguishing vertex and edge colorings, and many distance-related vertex colorings.

With historical, applied, and algorithmic discussions, this text offers a solid introduction to one of the most popular areas of graph theory.

Western Michigan University, Kalamazoo, Michigan, USA Monmouth University, Middletown, New Jersey, USA