The design of approximation algorithms

Saved in:
Bibliographic Details
Main Authors: Williamson David P.
Group Author: Shmoys David Bernard.
Published: Cambridge University Press,
Publisher Address: New York
Publication Dates: 2011.
Literature type: Book
Language: English
Subjects:
Carrier Form: xi, 504 p.: ill. ; 26 cm.
ISBN: 9780521195270 (hardback)
0521195276 (hardback)
Index Number: O174
CLC: O174.41
Call Number: O174.41/W729
Contents: 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. "--