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Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia, 2020, Volume 490, Pages 47–50
DOI: https://doi.org/10.31857/S2686954320010051 (Mi danma31) 		 
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
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DOI: https://doi.org/10.31857/S2686954320010051
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.
Funding agency Grant number
Russian Foundation for Basic Research 18–01–00599
18–01–00356
This work was supported in part by the Russian Foundation for Basic Research, project nos. 18-01-00599 and 18-01-00356.
Received: 06.06.2019
Revised: 06.06.2019
Accepted: 29.10.2019
English version:
Doklady Mathematics, 2020, Volume 101, Issue 1, Pages 40–42
DOI: https://doi.org/10.1134/S1064562420010056
Bibliographic databases:
Document Type: Article
UDC: 519.676
Language: Russian
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
Citation in format AMSBIB
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\by G.~A.~Mikhailov, G.~Z.~Lotova
\paper Monte Carlo algorithms for estimating time asymptotics of multiplication particle flow in a random medium
\jour Dokl. RAN. Math. Inf. Proc. Upr.
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\vol 490
\pages 47--50
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\crossref{https://doi.org/10.31857/S2686954320010051}
\zmath{https://zbmath.org/?q=an:07424547}
\elib{https://elibrary.ru/item.asp?id=42579057}
\transl
\jour Dokl. Math.
\yr 2020
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\pages 40--42
\crossref{https://doi.org/10.1134/S1064562420010056}
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    • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    		Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia
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