| 000 -LEADER |
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| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
190810b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780521195270 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
518.5 |
| Item number |
WIL |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Williamson, David P |
| 245 ## - TITLE STATEMENT |
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| Title |
Design of approximation algorithms |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc |
Cambridge University Press |
| Date of publication, distribution, etc |
2011 |
| Place of publication, distribution, etc |
Cambridge |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xi, 504 p. |
| Other physical details |
ill. |
| Dimensions |
26 cm |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
51.99 |
| Price type code |
EUR |
| Unit of pricing |
4772.68 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references and indexes. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
Discrete optimization problems are everywhere, from traditional operations research planning problems, such as scheduling, facility location, and network design; to computer science problems in databases; to advertising issues in viral marketing. Yet most such problems are NP-hard. Thus unless P = NP, there are no efficient algorithms to find optimal solutions to such problems. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first part of the book is devoted to a single algorithmic technique, which is then applied to several different problems. The second part revisits the techniques but offers more sophisticated treatments of them. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithms courses, the book will also serve as a reference for researchers interested in the heuristic solution of discrete optimization problems. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Approximation theory |
|
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| Topical term or geographic name as entry element |
Mathematical optimization |
|
|---|
| Topical term or geographic name as entry element |
Algorithmus |
|
|---|
| Topical term or geographic name as entry element |
Approximationstheorie |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Shmoys, David Bernard |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
|
| Item type |
Books |