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: Algorithms and Data Structures for External MemoryAlgorithms and Data Structures for External Memory
by - Now Publishers
The book describes several useful paradigms for the design and implementation of efficient EM algorithms and data structures. The problem domains considered include sorting, permuting, FFT, scientific computing, computational geometry, graphs, etc.
(10407 views)
Book cover: Problem Solving with Algorithms and Data Structures Using PythonProblem Solving with Algorithms and Data Structures Using Python
by - Franklin, Beedle & Associates
This textbook is designed as a text for a first course on data structures and algorithms, taught as the second course in the computer science curriculum. We cover abstract data types and data structures, writing algorithms, and solving problems.
(13826 views)
Book cover: Algorithms: Fundamental TechniquesAlgorithms: Fundamental Techniques
by - 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.
(15376 views)
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.
(17676 views)