Advances in Randomized Parallel Computing

Advances in Randomized Parallel Computing
Author :
Publisher : Springer Science & Business Media
Total Pages : 307
Release :
ISBN-10 : 9781461332824
ISBN-13 : 1461332826
Rating : 4/5 (24 Downloads)

Book Synopsis Advances in Randomized Parallel Computing by : Panos M. Pardalos

Download or read book Advances in Randomized Parallel Computing written by Panos M. Pardalos and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 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 p0:.sible inputs.


Advances in Randomized Parallel Computing Related Books

Advances in Randomized Parallel Computing
Language: en
Pages: 307
Authors: Panos M. Pardalos
Categories: Computers
Type: BOOK - Published: 2013-12-01 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The technique of randomization has been employed to solve numerous prob lems of computing both sequentially and in parallel. Examples of randomized algorithms t
Advances in Randomized Parallel Computing
Language: en
Pages: 320
Authors: Panos M. Pardalos
Categories: Computers
Type: BOOK - Published: 1999-05-31 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The technique of randomization has become very prevalent since it offers superior performance and simplicity. Numerous researchers work in this area of vital im
Advances in Parallel Computing Algorithms, Tools and Paradigms
Language: en
Pages: 670
Authors: D.J. Hemanth
Categories: Computers
Type: BOOK - Published: 2022-11-23 - Publisher: IOS Press

DOWNLOAD EBOOK

Recent developments in parallel computing for various fields of application are providing improved solutions for handling data. These newer, innovative ideas of
Parallel Computing on Distributed Memory Multiprocessors
Language: en
Pages: 348
Authors: Füsun Özgüner
Categories: Computers
Type: BOOK - Published: 1993-02-10 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Proceedings of the NATO Advanced Study Institute on Parallel Computing on Distributed Memory Multiprocessors, held at Bilkent University, Ankara, Turkey, July 1
Parallel Scientific Computing and Optimization
Language: en
Pages: 287
Authors: Raimondas Ciegis
Categories: Mathematics
Type: BOOK - Published: 2008-10-08 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. T