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This article is cited in 4 scientific papers (total in 4 papers)
MATHEMATICS
Monte Carlo algorithms for estimating time asymptotics of multiplication particle flow in a random medium
G. A. Mikhailovab, G. Z. Lotovaab a Institute of Computational Mathematics and Mathematical Geophysics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russian Federation
b Novosibirsk State University, Novosibirsk, Russian Federation
Abstract:
The fluctuations of the number of scattering and multiplying particles in a random medium are investigated as functions of time. For this purpose, randomized Monte Carlo algorithms for estimating the probabilistic moments of the corresponding exponential asymptotic parameter are constructed.
Keywords:
Monte Carlo method, weighted modifications, transport theory, time constant.
Received: 06.06.2019 Revised: 06.06.2019 Accepted: 29.10.2019
Citation:
G. A. Mikhailov, G. Z. Lotova, “Monte Carlo algorithms for estimating time asymptotics of multiplication particle flow in a random medium”, Dokl. RAN. Math. Inf. Proc. Upr., 490 (2020), 47–50; Dokl. Math., 101:1 (2020), 40–42
Linking options:
https://www.mathnet.ru/eng/danma31 https://www.mathnet.ru/eng/danma/v490/p47
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Abstract page: | 107 | Full-text PDF : | 41 | References: | 19 |
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