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Item Details
Title:
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APPROXIMATION ALGORITHMS FOR N-P HARD PROBLEMS
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By: |
Dorit Hochbaum |
Format: |
Hardback |
List price:
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£46.99 |
We believe that this item is permanently unavailable, and so we cannot source
it.
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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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