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The design of approximation algorithms /

"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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Williamson, David P.
Otros Autores: Shmoys, David Bernard
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge ; New York : Cambridge University Press, ©2011.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:"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"--
Descripción Física:1 online resource (xi, 504 pages) : illustrations
Bibliografía:Includes bibliographical references and indexes.
ISBN:9781139077750
1139077759
9781139080040
1139080040
9780511921735
051192173X
1107214513
9781107214514
1283110962
9781283110969
1139075497
9781139075497
9786613110961
6613110965
1139082310
9781139082310