Algorithmic Graph Theory (Paperback)

Alan Gibbons

ISBN 10: 0521288819 / ISBN 13: 9780521288811

Published by Cambridge University Press, Cambridge, 1985

About this Item

Paperback. 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. An introduction to pure and applied graph theory with an emphasis on algorithms and their complexity. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9780521288811

Bibliographic Details

• Title: Algorithmic Graph Theory (Paperback)
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 1985
• Language: English
• ISBN 10: 0521288819
• ISBN 13: 9780521288811
• Binding: Paperback
• Condition: new

About this title

Synopsis

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.

Book Description

This introduction to most of the classical concepts of pure and applied graph theory covers many of the major classical theorems. The emphasis is on algorithms and their complexity--what graph problems have known efficient solutions and which are intractable.