**The Design of Approximation Algorithms**

by D. P. Williamson, D. B. Shmoys

**Publisher**: Cambridge University Press 2010**ISBN/ASIN**: 0521195276**ISBN-13**: 9780521195270**Number of pages**: 496

**Description**:

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.

Download or read it online for free here:

**Download link**

(2.3MB, PDF)

## Similar books

**Essentials of Metaheuristics**

by

**Sean Luke**

This is an open set of lecture notes on metaheuristics algorithms, intended for undergraduate students, practitioners, programmers, and other non-experts. It was developed as a series of lecture notes for an undergraduate course.

(

**5756**views)

**Data Structures and Algorithms**

by

**John Morris**

The text focuses on data structures and algorithms for manipulating them. Data structures for storing information in tables, lists, trees, queues and stacks are covered. Some basic graph and discrete transform algorithms are also discussed.

(

**8370**views)

**Combinatorial Algorithms**

by

**Albert Nijenhuis, Herbert S. Wilf**-

**Academic Press Inc**

This is a collection of mathematical algorithms with many new and interesting examples in this second edition. The authors tried to place in the reader's hands a kit of building blocks with which the reader can construct more elaborate structures.

(

**12122**views)

**Data Structures and Algorithms**

by

**Catherine Leung**-

**GitBook**

This book is a survey of several standard algorithms and data structures. It will also introduce the methodology used to perform a formal analysis of an algorithm so that the reason behind the different implementations can be better understood.

(

**1370**views)