Combinatorial Optimization Advances in Randomized Parallel Computing, Book 5, (Paperback)
Randomized algorithms achieve superior performances without making any assumptions on the inputs by making coin flips within the algorithm.
Combinatorial Optimization Advances in Randomized Parallel Computing, Book 5, (Paperback)
Item #: 273834201

Combinatorial Optimization Advances in Randomized Parallel Computing, Book 5, (Paperback)

Item #: 273834201

RWF 288113

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Randomized algorithms achieve superior performances without making any assumptions on the inputs by making coin flips within the algorithm.
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  • 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.
Publication dateOctober, 2011
AuthorPanos M Pardalos
Book formatPaperback
GenreTextbooks
Pages287
Age groupAdult
Binding typePerfect Binding
Series titleCombinatorial Optimization
Fiction/nonfictionNon-Fiction
PublisherSpringer Us
Educational levelHigher
SubgenreGeneral
Original languagesEnglish
Edu focusMathematics
Number in series5
Recording time0 min
Is collectibleN
Bisac subject headingMathematics
Editionsoftcover reprint of the original 1st 1999 Edition
LanguageEnglish
Pub date1999
Item Weight1.2 lbs (540 grams)

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Combinatorial Optimization Advances in Randomized Parallel Computing, Book 5, (Paperback)

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