02494cam a22003494a 4500 16611561 OSt 20150408114153.0 110114s2011 nyua b 001 0 eng 2011001945 9780521195270 (hardback) 0521195276 (hardback) (OCoLC)ocn671709856 DLC DLC YDX BTCTA YDXCP CDX GIKBM DLC pcc QA221 .W55 2011 518.5 22 WDD COM051300 bisacsh Williamson, David P. 19125 The design of approximation algorithms / David P. Williamson, David B. Shmoys. New York : Cambridge University Press, 2011. xi, 504 p. : ill. ; 26 cm. Includes bibliographical references and indexes. "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"-- Approximation theory. 19126 Mathematical optimization. 12151 Shmoys, David Bernard. 19127 Cover image http://assets.cambridge.org/97805211/95270/cover/9780521195270.jpg 7 cbc orignew 1 ecip 20 y-gencatlg ddc DVD 32226 266726 0 2013-11-17 0 0 518.5 WDD 2013-11-17 CL CL 2013-11-17 00:00:00 BOOK ddc 0