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The Design of Approximation Algorithms

David P. Williamson, David B. Shmoys




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 | #549455 in Books |  2011-04-26 | Original language:English | PDF # 1 |  9.96 x1.14 x8.46l,2.35 | File type: PDF | 518 pages

||5 of 5 people found the following review helpful.| A well presented mathematical reference book on the different ways approximation algorithms can be built|By Litsios James|Hidden in back of the dual gap that arises in the approximate formulation of primal and dual solutions to an optimization problem is a hidden world of magic. This book is a great reference on discovering this magic, as it presents the multiple ways these app| |"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

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 provabl...

You can specify the type of files you want, for your device.The Design of Approximation Algorithms   |  David P. Williamson, David B. Shmoys. I was recommended this book by a dear friend of mine.

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