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The Design of Approximation Algorithms by David P Williamson; David Bernard Shmoys is a nonfiction available to read on EtoBox.

What is The Design of Approximation Algorithms about?

"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 solu

Who reads The Design of Approximation Algorithms?

Author

David P Williamson; David Bernard Shmoys

Publisher

Cambridge University Press - M.U.A

Published

2011

Language

EN

ISBN

9780511921735

Category

nonfiction

Subjects

Mathematics, Computer Science, Programming

Rating

4.5 / 5 (9 ratings)

Updated

2026-03-14