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Item Details
Title: APPROXIMATION ALGORITHMS FOR N-P HARD PROBLEMS
By: Dorit Hochbaum
Format: Hardback

List price: £46.99


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ISBN 10: 0534949681
ISBN 13: 9780534949686
Publisher: CENGAGE LEARNING, INC
Pub. date: 25 August, 1996
Pages: 464
Description: Discussing approximation algorithms for n-p hard problems, this study details scheduling, connectivity problems, randomization in approximations, best possible results, and on-line and server problems.
Synopsis: This is the first book to fully address the study of approximation algorithms as a tool for coping with intractable problems. With chapters contributed by leading researchers in the field, this book introduces unifying techniques in the analysis of approximation algorithms. APPROXIMATION ALGORITHMS FOR NP-HARD PROBLEMS is intended for computer scientists and operations researchers interested in specific algorithm implementations, as well as design tools for algorithms. Among the techniques discussed: the use of linear programming, primal-dual techniques in worst-case analysis, semidefinite programming, computational geometry techniques, randomized algorithms, average-case analysis, probabilistically checkable proofs and inapproximability, and the Markov Chain Monte Carlo method. The text includes a variety of pedagogical features: definitions, exercises, open problems, glossary of problems, index, and notes on how best to use the book.
Illustrations: Illustrations
Publication: US
Imprint: Course Technology Inc
Returns: Non-returnable
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