The Leading eBooks Store Online 3,788,875 members ⚫ 1,234,658 ebooks

New to

Learn more

The Design of Approximation Algorithms

The Design of Approximation Algorithms by David P. Williamson
Add to cart
US$ 52.00 US$ 46.99
(If any tax is payable it will be calculated and shown at checkout.)
Discrete optimization problems are everywhere, from traditional operations research planning (scheduling, facility location and network design); to computer science databases; to advertising issues in viral marketing. Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. 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 section is devoted to a single algorithmic technique applied to several different problems, with more sophisticated treatment in the second section. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithm courses, it will also serve as a reference for researchers interested in the heuristic solution of discrete optimization problems.
Cambridge University Press; April 2011
520 pages; ISBN 9781139234733
Read online, or download in secure EPUB or secure PDF format
Title: The Design of Approximation Algorithms
Author: David P. Williamson; David B. Shmoys