Results 21 to 30 of about 11,341,287 (236)
Generation of Random Numbers and Parallel Random Number Streams for Monte Carlo Simulations
Моделирование и анализ информационных систем, 2015 Modern methods and libraries for high quality pseudorandom number generation and for generation of parallel random number streams for Monte Carlo simulations are considered.
L. Yu. Barash, L. N. Shchur
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Configurable cellular automata for pseudorandom number generation [PDF]
, 2005 This paper proposes a generalized structure of cellular automata (CA) – the configurable cellular automata (CoCA). With selected properties from programmable CA (PCA) and controllable CA (CCA), a new approach to cellular automata is developed.
Guan, SU +3 more
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Quantum generators of random numbers
Scientific Reports, 2021 Generation of random numbers is a central problem for many applications in the field of information processing, including, e.g., cryptography, in classical and quantum regime, but also mathematical modeling, Monte Carlo methods, gambling and many others.
Marcin M. Jacak +3 more
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Pseudorandom number generation based on controllable cellular automata [PDF]
, 2003 A novel Cellular Automata (CA) Controllable CA (CCA) is proposed in this paper. Further, CCA are applied in Pseudorandom Number Generation. Randomness test results on CCA Pseudorandom Number Generators (PRNGs) show that they are better than 1-d CA PRNGs
Zhang, S. +5 more
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On Combining Pseudorandom Number Generators
The Annals of Statistics, 1979 A technique used in pseudorandom number generation is to combine two or more different generators with the goal of producing a new generator with improved randomness properties. We study such a class of generators and show that in a strong sense the combined generator does offer improvement. Our approach applies results from majorization theory.
Brown, Mark, Solomon, Herbert
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Applying AVX512 vectorization to improve the performance of a random number generator
Труды Института системного программирования РАН, 2018 The generation of uniformly distributed random numbers is necessary for computer simulation by Monte Carlo methods and molecular dynamics. Generators of pseudo-random numbers (GPRS) are used to generate random numbers.
M. S. Guskova +2 more
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Pseudo-Random Number Generation in an Agent-based Gamified Cellular Automata Environment [PDF]
Journal of Universal Computer ScienceHigh-quality random number generation is a need for many engineering application areas grounded on different theoretical bases, including probability theory & statistics, game theory, information theory, etc.
Ozan Can Acar, Hürevren Kılıç
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On a decentralized trustless pseudo-random number generation algorithm
Journal of Mathematical Cryptology, 2017 We construct an algorithm that permits a large group of individuals to reach consensus on a random number, without having to rely on any third parties. The algorithm works with high probability if there are less than 50 of colluding parties in the group.
Popov Serguei
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A transformation sequencing approach to pseudorandom number generation [PDF]
, 2007 This paper presents a new approach to designing pseudorandom number generators based on cellular automata. Current cellular automata designs either focus on i) ensuring desirable sequence properties such as maximum length period, balanced distribution ...
Guan, SU, Tan, SK
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Pseudorandom number generation and space complexity
Information and Control, 1983 This is a revised and expanded version of the authors' paper in Lect. Notes Comput. Sci. 158, 171-176 (1983; Zbl 0549.68032).
Merrick L. Furst +2 more
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