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¡¾·ÖÏí¡¿The Design of Approximation Algorithms £¨½£ÇÅ2011Äê³ö°æ£©¡¾ÒÑËÑÎÞÖØ¸´¡¿
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Ïêϸ½éÉܲμûamazon: http://www.amazon.com/Design-App ... amson/dp/0521195276 Õª×ÔÑÇÂíÑ·£º Editorial Reviews Review "This is a beautifully written book that will bring anyone who reads it to the current frontiers of research in approximation algorithms. It covers everything from the classics to the latest, most exciting results such as ARV's sparsest cut algorithm, and does so in an extraordinarily clear, rigorous and intuitive manner." Anna Karlin, University of Washington "The authors of this book are leading experts in the area of approximation algorithms. They do a wonderful job in providing clear and unified explanations of subjects ranging from basic and fundamental algorithmic design techniques to advanced results in the forefront of current research. This book will be very valuable to students and researchers alike." Uriel Feige, Professor of Computer Science and Applied Mathematics, the Weizmann Institute "Theory of approximation algorithms is one of the most exciting areas in theoretical computer science and operations research. This book, written by two leading researchers, systematically covers all the important ideas needed to design effective approximation algorithms. The description is lucid, extensive and up-to-date. This will become a standard textbook in this area for graduate students and researchers." Toshihide Ibaraki, The Kyoto College of Graduate Studies for Informatics "This book on approximation algorithms is a beautiful example of an ideal textbook. It gives a concise treatment of the major techniques, results and references in approximation algorithms and provides an extensive and systematic coverage of this topic up to the frontier of current research. It will become a standard textbook and reference for graduate students, teachers and researchers in the field." Rolf H. Möhring, Technische Universität Berlin "I have fond memories of learning approximation algorithms from an embryonic version of this book. The reader can expect a clearly written and thorough tour of all the important paradigms for designing efficient heuristics with provable performance guarantees for combinatorial optimization problems." Tim Roughgarden, Stanford University Product Details Hardcover: 520 pages Publisher: Cambridge University Press; 1 edition (April 26, 2011) Language: English ISBN-10: 0521195276 ISBN-13: 978-0521195270 [ Last edited by pauldlx on 2011-8-7 at 15:00 ] |
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