Efficient Approximation and Online Algorithms - Recent Progress on Classical Combinatorial Optimization Problems and New Applications (Paperback, 2006 ed.)


This book provides a good opportunity for computer science practitioners and researchers to get in sync with the current state-of-the-art and future trends in the field of combinatorial optimization and online algorithms. Recent advances in this area are presented focusing on the design of efficient approximation and on-line algorithms. One central idea in the book is to use a linear program relaxation of the problem, randomization and rounding techniques.

This state-of-the-art survey contains 11 carefully selected papers that cover some classical problems of scheduling, of packing, and of graph theory, but also new optimization problems arising in various applications like networks, data mining or classification.


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Product Description

This book provides a good opportunity for computer science practitioners and researchers to get in sync with the current state-of-the-art and future trends in the field of combinatorial optimization and online algorithms. Recent advances in this area are presented focusing on the design of efficient approximation and on-line algorithms. One central idea in the book is to use a linear program relaxation of the problem, randomization and rounding techniques.

This state-of-the-art survey contains 11 carefully selected papers that cover some classical problems of scheduling, of packing, and of graph theory, but also new optimization problems arising in various applications like networks, data mining or classification.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Theoretical Computer Science and General Issues, 3484

Release date

February 2006

Availability

Expected to ship within 10 - 15 working days

First published

2006

Editors

, ,

Dimensions

235 x 155 x 19mm (L x W x T)

Format

Paperback

Pages

348

Edition

2006 ed.

ISBN-13

978-3-540-32212-2

Barcode

9783540322122

Categories

LSN

3-540-32212-4



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