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Combinatorial Optimization

 
 
 
 
Combinatorial Optimization
Author: William J. Cook - William H. Cunningham - William
ISBN 13: 9780471558941
ISBN 10: 47155894
Edition: 1
Publisher: Wiley-Interscience
Publication Date: 1997-11-12
Format: Hardcover
Pages: 368
List Price: $198.00
 
 

A complete, highly accessible introduction to one of today's most exciting areas of applied mathematics

One of the youngest, most vital areas of applied mathematics, combinatorial optimization integrates techniques from combinatorics, linear programming, and the theory of algorithms. Because of its success in solving difficult problems in areas from telecommunications to VLSI, from product distribution to airline crew scheduling, the field has seen a ground swell of activity over the past decade.

Combinatorial Optimization is an ideal introduction to this mathematical discipline for advanced undergraduates and graduate students of discrete mathematics, computer science, and operations research. Written by a team of recognized experts, the text offers a thorough, highly accessible treatment of both classical concepts and recent results. The topics include:

* Network flow problems

* Optimal matching

* Integrality of polyhedra

* Matroids

* NP-completeness

Featuring logical and consistent exposition, clear explanations of basic and advanced concepts, many real-world examples, and helpful, skill-building exercises, Combinatorial Optimization is certain to become the standard text in the field for many years to come.

Booknews

An introduction to combinatorial optimization for advanced undergraduates and graduate students of discrete mathematics, computer science, and operations research. Covers both classical concepts and recent results, with chapters on areas such as optimal trees and paths, maximum flow problems, integrality of polyhedra, the traveling salesman problem, and matroids. Contains more material than can be covered in a single course. Learning features include logical and consistent exposition, real-world examples, and chapter exercises. Familiarity with linear programming duality is helpful, although a background appendix on this subject is provided. Annotation c. by Book News, Inc., Portland, Or.