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English
Cambridge University Press
30 July 2009
Various problems in computer science are 'hard', that is NP-complete, and so not realistically computable; thus in order to solve them they have to be approximated. This book is a survey of the basic techniques for approximating combinatorial problems using parallel algorithms. Its core is a collection of techniques that can be used to provide parallel approximations for a wide range of problems (for example, flows, coverings, matchings, travelling salesman problems, graphs), but in order to make the book reasonably self-contained, the authors provide an introductory chapter containing the basic definitions and results. A final chapter deals with problems that cannot be approximated, and the book is ended by an appendix that gives a convenient summary of the problems described in the book. This is an up-to-date reference for research workers in the area of algorithms, but it can also be used for graduate courses in the subject.

By:   , , , , , ,
Imprint:   Cambridge University Press
Country of Publication:   United Kingdom
Volume:   No. 8
Dimensions:   Height: 244mm,  Width: 170mm,  Spine: 9mm
Weight:   280g
ISBN:   9780521117920
ISBN 10:   0521117925
Series:   Cambridge International Series on Parallel Computation
Pages:   168
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Reviews for Paradigms for Fast Parallel Approximability

Review of the hardback: 'Required reading for researchers working on parallel algorithms and of interest to anyone working in the area of parallel computing in general.' Brian Bramer, CVu


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