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Algorithmic Graph Theory

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ISBN-10: 0521288819

ISBN-13: 9780521288811

Edition: 1985

Authors: Alan Gibbons

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This is a textbook on graph theory, especially suitable for computer scientists but also suitable for mathematicians with an interest in computational complexity. Although it introduces most of the classical concepts of pure and applied graph theory (spanning trees, connectivity, genus, colourability, flows in networks, matchings and traversals) and covers many of the major classical theorems, the emphasis is on algorithms and thier complexity: which graph problems have known efficient solutions and which are intractable. For the intractable problems a number of efficient approximation algorithms are included with known performance bounds. Informal use is made of a PASCAL-like programming…    
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Book details

Copyright year: 1985
Publisher: Cambridge University Press
Publication date: 6/27/1985
Binding: Paperback
Pages: 272
Size: 6.25" wide x 9.25" long x 0.75" tall
Weight: 0.836
Language: English

Alan Gibbons is a full-time writer and a visiting speaker and lecturer at schools, colleges and literary events nationwide, including the major book festivals: Edinburgh, Northern Children's Book Festival, Swansea, Cheltenham, Sheffield and Salford. Alan has recently embarked on a high-profile, nationwide campaign to champion libraries and librarianship and to reevaluate government commitment to educational spending. He lives in Liverpool with his wife and four children. Visit his website at, read his blog at, follow him on Twitter at, Facebook at and Flickr at…    

Introducing graphs and algorithmic complexity
Introducing graphs
Introducing algorithmic complexity
Introducing data structures and depth-first searching
Adjacency matrices and adjacency lists
Depth-first searching
Two linear-time algorithms
Summary and references
Spanning-trees, branchings and connectivity
Spanning-trees and branchings
Optimum weight spanning-trees
Optimum branchings
Enumeration of spanning-trees
Circuits, cut-sets and connectivity
Fundamental circuits of a graph
Fundamental cut-sets of a graph
Summary and references
Planar graphs
Basic properties of planar graphs
Genus, crossing-number and thickness
Characterisations of planarity
Dual graphs
A planarity testing algorithm
Summary and references
Networks and flows
Networks and flows
Maximising the flow in a network
Menger's theorems and connectivity
A minimum-cost flow algorithm
Summary and references
Maximum-cardinality matchings
Perfect matchings
Maximum-weight matchings
Summary and references
Eulerian and Hamiltonian tours
Eulerian paths and circuits
Eulerian graphs
Finding Eulerian circuits
Postman problems
Counting Eulerian circuits
The Chinese postman problem for undirected graphs
The Chinese postman problem for digraphs
Hamiltonian tours
Some elementary existence theorems
Finding all Hamiltonian tours by matricial products
The travelling salesman problem
2-factors of a graph
Summary and references
Colouring graphs
Dominating sets, independence and cliques
Colouring graphs
Chromatic polynomials
Face-colourings of embedded graphs
The five-colour theorem
The four-colour theorem
Summary and references
Graph problems and intractability
Introduction to NP-completeness
The classes P and NP
NP-completeness and Cook's theorem
NP-complete graph problems
Problems of vertex cover, independent set and clique
Problems of Hamiltonian paths and circuits and the travelling salesman problem
Problems concerning the colouring of graphs
Concluding comments
Summary and references
On linear programming
Author index
Subject index