Handbook of Randomized Computing: Volume I/II: 9 (Combinatorial Optimization, 9) - Softcover

9781461348863: Handbook of Randomized Computing: Volume I/II: 9 (Combinatorial Optimization, 9)

Softcover

ISBN 10: 1461348862 ISBN 13: 9781461348863

Publisher: Springer-Verlag New York Inc., 2013

A brief introduction to randomized algorithms In the analysis of algorithms, at least three different measures of performance can be used: the best case, the worst case, and the average case. 2 For instance, the worst case run time of Hoare's quicksort is O(n ), whereas its average case run time is only O(nlogn).

"synopsis" may belong to another edition of this title.

Publisher: Springer-Verlag New York Inc.
Publication date: 2013
Language: English
ISBN 10: 1461348862
ISBN 13: 9781461348863
Binding: Paperback
Number of pages: 1046
Editor: Rajasekaran Sanguthevar, Pardalos Panos M., Reif J.H., Rolim Jos�

Search results for Handbook of Randomized Computing: Volume I/II: 9 (Combinator...

Seller Image

Handbook of Randomized Computing

Sanguthevar Rajasekaran

Published by Springer US Dez 2013, 2013

ISBN 10: 1461348862 ISBN 13: 9781461348863

New Taschenbuch

Print on Demand

Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany

Seller rating 5 out of 5 stars

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The technique of randomization has been employed to solve numerous prob lems of computing both sequentially and in parallel. Examples of randomized algorithms that are asymptotically better than their deterministic counterparts in solving various fundamental problems abound. Randomized algorithms have the advantages of simplicity and better performance both in theory and often is a collection of articles written by renowned experts in practice. This book in the area of randomized parallel computing. A brief introduction to randomized algorithms In the analysis of algorithms, at least three different measures of performance can be used: the best case, the worst case, and the average case. Often, the average case run time of an algorithm is much smaller than the worst case. 2 For instance, the worst case run time of Hoare's quicksort is O(n ), whereas its average case run time is only O(nlogn). The average case analysis is conducted with an assumption on the input space. The assumption made to arrive at the O(n logn) average run time for quicksort is that each input permutation is equally likely. Clearly, any average case analysis is only as good as how valid the assumption made on the input space is. Randomized algorithms achieve superior performances without making any assumptions on the inputs by making coin flips within the algorithm. Any analysis done of randomized algorithms will be valid for all possible inputs. 1052 pp. Englisch. Seller Inventory # 9781461348863

Contact seller