Algorithmic Graph Theory
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 language to describe the algorithms. A number of exercises and outlines of solutions are included to extend and motivate the material of the text.
1100959599
Algorithmic Graph Theory
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 language to describe the algorithms. A number of exercises and outlines of solutions are included to extend and motivate the material of the text.
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Algorithmic Graph Theory

Algorithmic Graph Theory

by Alan Gibbons
Algorithmic Graph Theory

Algorithmic Graph Theory

by Alan Gibbons

Paperback(New Edition)

$66.00 
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Overview

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 language to describe the algorithms. A number of exercises and outlines of solutions are included to extend and motivate the material of the text.

Product Details

ISBN-13: 9780521288811
Publisher: Cambridge University Press
Publication date: 06/27/1985
Edition description: New Edition
Pages: 272
Product dimensions: 6.10(w) x 9.09(h) x 0.71(d)

Table of Contents

Preface; 1. Introducing graphs and algorithmic complexity; 2. Spanning-trees, branchings and connectivity; 3. Planar graphs; 4. Networks and flows; 5. Matchings; 6. Eulerian and Hamiltonian tours; 7. Colouring graphs; 8. Graph problems and intractability; Appendix; Author Index; Subject Index.
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