**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

**Algorithms: Fundamental Techniques**

by

**Macneil Shonle, Matthew Wilson, Martin Krischik**-

**Wikibooks**

An accessible introduction into the design and analysis of efficient algorithms. It explains only the most basic techniques, and gives intuition for and an introduction to the rigorous mathematical methods needed to describe and analyze them.

(

**10681**views)

**Problems on Algorithms, 2nd edition**

by

**Ian Parberry, William Gasarch**-

**Prentice Hall**

A collection of problems on the design, analysis, and verification of algorithms for practicing programmers who wish to hone and expand their skills, as a supplementary text for students, and as a self-study text for graduate students.

(

**11207**views)

**Computer Arithmetic of Geometrical Figures: Algorithms and Hardware Design**

by

**Solomon I. Khmelnik**-

**MiC**

This book describes various processors, designed for affine transformations of many-dimensional figures -- planar and spatial. Designed for students, engineers and developers, who intend to use the computer arithmetic of geometrical figures.

(

**4775**views)

**Average Case Analysis of Algorithms on Sequences**

by

**Wojciech Szpankowski**-

**Wiley-Interscience**

A book on a topic that has witnessed a surge of interest over the last decade, owing in part to several novel applications in data compression and computational molecular biology. It describes methods employed in average case analysis of algorithms.

(

**6881**views)