Iterative methods in combinatorial optimization / Lap Chi Lau, R. Ravi, Mohit Singh.

"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...

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Bibliographic Details
Main Author: Lau, Lap Chi
Other Authors: Ravi, R. (Ramamoorthi), 1969-, Singh, Mohit
Language:English
Published: Cambridge ; New York : Cambridge University Press, 2011.
Series:Cambridge texts in applied mathematics.
Subjects:
Physical Description:xi, 242 pages : illustrations ; 24 cm.
Format: Book

MARC

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100 1 |a Lau, Lap Chi.  |0 http://id.loc.gov/authorities/names/n2011006981 
245 1 0 |a Iterative methods in combinatorial optimization /  |c Lap Chi Lau, R. Ravi, Mohit Singh. 
260 |a Cambridge ;  |a New York :  |b Cambridge University Press,  |c 2011. 
300 |a xi, 242 pages :  |b illustrations ;  |c 24 cm. 
336 |a text  |b txt  |2 rdacontent 
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338 |a volume  |b nc  |2 rdacarrier 
490 1 |a Cambridge texts in applied mathematics 
504 |a Includes bibliographical references and index. 
505 8 |a Machine generated contents note: 1. Introduction; 2. Preliminaries; 3. Matching and vertex cover in bipartite graphs; 4. Spanning trees; 5. Matroids; 6. Arborescence and rooted connectivity; 7. Submodular flows and applications; 8. Network matrices; 9. Matchings; 10. Network design; 11. Constrained optimization problems; 12. Cut problems; 13. Iterative relaxation: early and recent examples; 14. Summary. 
520 |a "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"--  |c Provided by publisher. 
520 |a "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"--  |c Provided by publisher. 
650 0 |a Iterative methods (Mathematics)  |0 http://id.loc.gov/authorities/subjects/sh85069058 
650 0 |a Combinatorial optimization.  |0 http://id.loc.gov/authorities/subjects/sh85028809 
700 1 |a Ravi, R.  |q (Ramamoorthi),  |d 1969-  |0 http://id.loc.gov/authorities/names/n00003544 
700 1 |a Singh, Mohit.  |0 http://id.loc.gov/authorities/names/n2011006983 
830 0 |a Cambridge texts in applied mathematics.  |0 http://id.loc.gov/authorities/names/n86719346 
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