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" Iterative methods in combinatorial optimization / "
Lap Chi Lau, R. Ravi, Mohit Singh
Document Type
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BL
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Record Number
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639689
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Doc. No
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dltt
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Main Entry
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Lau, Lap Chi
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Title & Author
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Iterative methods in combinatorial optimization /\ Lap Chi Lau, R. Ravi, Mohit Singh
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Publication Statement
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Cambridge ;New York :: Cambridge University Press,, 2011
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Series Statement
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Cambridge texts in applied mathematics
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Page. NO
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xi, 242 p. :: ill. ;; 24 cm
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ISBN
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9781107007512 (hardback)
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: 1107007518 (hardback)
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: 9780521189439 (pbk.)
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: 0521189438 (pbk.)
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Bibliographies/Indexes
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Includes bibliographical references and index
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Abstract
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"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"--
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"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"--
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Subject
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Iterative methods (Mathematics)
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Subject
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Combinatorial optimization
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Dewey Classification
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518/.26
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LC Classification
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QA297.8.L38 2011
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Added Entry
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Ravi, R., (Ramamoorthi),1969-
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Singh, Mohit
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