Logo

The Design of Approximation Algorithms

Large book cover: The Design of Approximation Algorithms

The Design of Approximation Algorithms
by

Publisher: Cambridge University Press
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.

Home page url

Download or read it online for free here:
Download link
(2.3MB, PDF)

Similar books

Book cover: Design and Analysis of AlgorithmsDesign and Analysis of Algorithms
by - Duke University
The main topics to be covered in this course are: Design Techniques; Searching; Prioritizing; Graph Algorithms; Topological Algorithms; Geometric Algorithms; NP-completeness. The emphasis will be on algorithm design and on algorithm analysis.
(19621 views)
Book cover: Data Structures and AlgorithmsData Structures and Algorithms
by - 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.
(11857 views)
Book cover: Tabu SearchTabu Search
by - InTech
Tabu search is a mathematical optimization method. The goal of the book is to report original researches on algorithms and applications of Tabu Search to real-world problems as well as recent improvements and extensions on its concepts and algorithms.
(13897 views)
Book cover: Average Case Analysis of Algorithms on SequencesAverage Case Analysis of Algorithms on Sequences
by - 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.
(11998 views)