Performance comparison of random number generators based on Adaptive Rejection Sampling | Zendy

Hyotae Kim | Zendy; Seongil Jo | Zendy; Taeryon Choi | Zendy

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Performance comparison of random number generators based on Adaptive Rejection Sampling

Author(s) -

Hyotae Kim,

Seongil Jo,

Taeryon Choi

Publication year - 2015

Publication title -

journal of the korean data and information science society

Language(s) - English

Resource type - Journals

ISSN - 1598-9402

DOI - 10.7465/jkdi.2015.26.3.593

Subject(s) - random number generation , rejection sampling , sampling (signal processing) , convolution random number generator , generator (circuit theory) , adaptive sampling , computer science , slice sampling , mathematics , sampling distribution , algorithm , importance sampling , distribution (mathematics) , empirical distribution function , random function , statistics , random variable , monte carlo method , markov chain monte carlo , power (physics) , hybrid monte carlo , mathematical analysis , physics , filter (signal processing) , quantum mechanics , computer vision

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