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Advances in Randomized Parallel Computing (Combinatorial Optimization (5)) by Aviad Cohen, Yuri Rabinovich, Assaf Schuster (auth.), Panos M. Pardalos, Sanguthevar Rajasekaran (eds.) is a nonfiction available to read on EtoBox.

What is Advances in Randomized Parallel Computing (Combinatorial Optimization (5)) about?

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 in practice. This book is a collection of articles written by renowned experts in the area of randomized parallel computing. A brief introduction to randomized algorithms In the aflalysis 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( n log n). The average case analysis is conducted with an assumption on the input space. The assumption made to arrive at the O( n log n) 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 mad

Who reads Advances in Randomized Parallel Computing (Combinatorial Optimization (5))?

Author

Aviad Cohen, Yuri Rabinovich, Assaf Schuster (auth.), Panos M. Pardalos, Sanguthevar Rajasekaran (eds.)

Publisher

Springer US

Published

1999

Language

EN

ISBN

9781461332824

Category

nonfiction

Subjects

Engineering, Mathematics, Programming