Results 281 to 290 of about 125,297 (309)
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On Assessing the Performance of Randomized Algorithms

Journal of Algorithms, 2000
Summary: We study randomized algorithms with random input. We adapt to such algorithms the notion of probability of a false positive which is common in epidemiological studies. The probability of a false positive takes into account both the (controlled) error of the randomization and the randomness of the input, which needs to be modeled. We illustrate
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Introduction to randomized algorithms

1998
This chapter presents a short introduction to randomized algorithms, demonstrating their usefulness by showing that an essentially trivial randomized algorithm for MAXE3SAT (the version of MAX3SAT in which all clauses have exactly three literals) has expected performance ratio 8/7.
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Algorithms and Randomness

Revue de l'Institut International de Statistique / Review of the International Statistical Institute, 1969
P. Martin-Löf, P. Martin-Lof
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Randomized algorithms for the approximations of Tucker and the tensor train decompositions

Advances in Computational Mathematics, 2018
Maolin Che, Yimin Wei, Che Maolin
exaly  

Monte Carlo and Las Vegas Randomized Algorithms for Systems and Control*

European Journal of Control, 2007
Roberto Tempo, Hideaki Ishii
exaly  

Randomized consensus algorithms over large scale networks

IEEE Journal on Selected Areas in Communications, 2008
Fabio Fagnani, Sandro Zampieri
exaly  

Randomized algorithms for total least squares problems

Numerical Linear Algebra With Applications, 2019
Pengpeng Xie, Hua Xiang, Yimin Wei
exaly  

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