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Algorithmic Graph Theory

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Algorithmic Graph Theory Cover

 

Synopses & Reviews

Publisher Comments:

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.

Synopsis:

An introduction to pure and applied graph theory with an emphasis on algorithms and their complexity.

Synopsis:

Algorithm Graph Theory introduces most of the classical concepts of pure and applied graph theory (spanning trees, connectivity, genus, colourability, flows in networks, matching and transversals) and covers many of the classical theorems. Its emphasis is on algorithms and their complexity ñwhich graph problems have known efficient solutions and which are intractable.

Synopsis:

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.

Synopsis:

An introduction to pure and applied graph theory with an emphasis on algorithms and their complexity.

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.

Product Details

ISBN:
9780521288811
Preface:
Gibbons, Alan
Author:
Gibbons, Alan
Publisher:
Cambridge University Press
Location:
Cambridge Cambridgeshire ;
Subject:
General
Subject:
Applied
Subject:
Data processing
Subject:
Graphic Methods
Subject:
Graph theory
Subject:
Algorithms
Subject:
Graph theory -- Data processing.
Subject:
General Computers
Subject:
Graph theory Graph theory
Subject:
Mathematics - General
Edition Description:
Trade paper
Series Volume:
9022
Publication Date:
19850731
Binding:
TRADE PAPER
Grade Level:
College/higher education:
Language:
English
Illustrations:
Yes
Pages:
272
Dimensions:
9.08x6.10x.69 in. .93 lbs.

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Related Subjects

Computers and Internet » Computers Reference » General
Science and Mathematics » Mathematics » Advanced
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Combinatorics
Science and Mathematics » Mathematics » General

Algorithmic Graph Theory New Trade Paper
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$72.50 In Stock
Product details 272 pages Cambridge University Press - English 9780521288811 Reviews:
"Synopsis" by , An introduction to pure and applied graph theory with an emphasis on algorithms and their complexity.
"Synopsis" by , Algorithm Graph Theory introduces most of the classical concepts of pure and applied graph theory (spanning trees, connectivity, genus, colourability, flows in networks, matching and transversals) and covers many of the classical theorems. Its emphasis is on algorithms and their complexity ñwhich graph problems have known efficient solutions and which are intractable.
"Synopsis" by , 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.
"Synopsis" by , An introduction to pure and applied graph theory with an emphasis on algorithms and their complexity.
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