Probabilistic analysis of algorithms

Known as: Average-case analysis, Average-case computational complexity, Probabilistic analysis 
In analysis of algorithms, probabilistic analysis of algorithms is an approach to estimate the computational complexity of an algorithm or a… (More)
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Highly Cited
2013
Highly Cited
2013
The purpose of this paper is to provide a complete probabilistic analysis of a large class of stochastic differential games with… (More)
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Highly Cited
2006
Highly Cited
2006
Randomized algorithms (making random choices during their execution) play an important role in modern computer science, with… (More)
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Highly Cited
2002
Highly Cited
2002
On input a random 3-CNF formula of clauses-to-variables ratio r3 applies repeatedly the following simple heuristic: Set to True a… (More)
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Highly Cited
2002
Highly Cited
2002
The traditional approach to worst-case static-timing analysis is becoming unacceptably conservative due to an ever-increasing… (More)
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Highly Cited
1997
Highly Cited
1997
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information… (More)
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Highly Cited
1991
Highly Cited
1991
Flajolet, P., Salvy, B. and Zimmermann, P., Automatic average-case analysis of algorithms, Theoretical Computer Science 79 (1991… (More)
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Highly Cited
1990
Highly Cited
1990
This report is a contributed chapter to the Handbook of Theoretical Computer Science (North-Holland, 1990). Its aim is to… (More)
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Highly Cited
1990
Highly Cited
1990
Two algorithms for the k-Satissability problem are presented and a probabilistic analysis is performed. The analysis is based on… (More)
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Highly Cited
1986
Highly Cited
1986
An algorithm for the 3-Satissability problem is presented and a probabilistic analysis is performed. The analysis is based on an… (More)
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Highly Cited
1977
Highly Cited
1977
The main purpose of this paper is to give techniques for analysing the probabilistic performance of certain kinds of algorithms… (More)
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