Iterative methods in combinatorial optimization /

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Bibliographic Details
Author / Creator:Lau, Lap Chi.
Imprint:Cambridge ; New York : Cambridge University Press, ©2011.
Description:1 online resource (xi, 242 pages) : illustrations
Language:English
Series:Cambridge texts in applied mathematics
Cambridge texts in applied mathematics.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11827310
Hidden Bibliographic Details
Other authors / contributors:Ravi, R. (Ramamoorthi), 1969-
Singh, Mohit.
ISBN:9781139081078
1139081071
9781139078801
1139078801
9780511977152
0511977158
9781283111164
1283111160
9781107007512
1107007518
9780521189439
0521189438
Digital file characteristics:data file
Notes:Includes bibliographical references (pages 233-240) and index.
Print version record.
Summary:"With the advent of approximation algorithms for NP-hard combinatorial optimization problems, several techniques from exact optimization such as the primal-dual method have proven their staying power and versatility. This book describes a simple and powerful method that is iterative in essence, and similarly useful in a variety of settings for exact and approximate optimization. The authors highlight the commonality and uses of this method to prove a variety of classical polyhedral results on matchings, trees, matroids, and flows. The presentation style is elementary enough to be accessible to anyone with exposure to basic linear algebra and graph theory, making the book suitable for introductory courses in combinatorial optimization at the upper undergraduate and beginning graduate levels. Discussions of advanced applications illustrate their potential for future application in research in approximation algorithms"--
Other form:Print version: Lau, Lap Chi. Iterative methods in combinatorial optimization. Cambridge ; New York : Cambridge University Press, 2011 9781107007512
Description
Summary:With the advent of approximation algorithms for NP-hard combinatorial optimization problems, several techniques from exact optimization such as the primal-dual method have proven their staying power and versatility. This book describes a simple and powerful method that is iterative in essence and similarly useful in a variety of settings for exact and approximate optimization. The authors highlight the commonality and uses of this method to prove a variety of classical polyhedral results on matchings, trees, matroids and flows. The presentation style is elementary enough to be accessible to anyone with exposure to basic linear algebra and graph theory, making the book suitable for introductory courses in combinatorial optimization at the upper undergraduate and beginning graduate levels. Discussions of advanced applications illustrate their potential for future application in research in approximation algorithms.
Physical Description:1 online resource (xi, 242 pages) : illustrations
Bibliography:Includes bibliographical references (pages 233-240) and index.
ISBN:9781139081078
1139081071
9781139078801
1139078801
9780511977152
0511977158
9781283111164
1283111160
9781107007512
1107007518
9780521189439
0521189438