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Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia, 2021, Volume 498, Pages 55–58
DOI: https://doi.org/10.31857/S2686954321030139
(Mi danma177)
 

This article is cited in 4 scientific papers (total in 4 papers)

MATHEMATICS

New correlative randomized algorithm for estimating the influence of the medium stochasticity on particle transport

G. A. Mikhailovab, I. N. Medvedevab

a Institute of Computational Mathematics and Mathematical Geophysics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
b Novosibirsk State University, Novosibirsk, Russia
Full-text PDF (89 kB) Citations (4)
References:
Abstract: A new correlative randomized algorithm is constructed by applying simple randomization of the majorant cross section (alignment, delta tracking) algorithm and using a one-dimensional distribution and the correlation length of the stochastic medium. The value of this parameter can be adjusted using simple test analysis. The performed computations have confirmed the practical efficiency of the new algorithm.
Keywords: correlative randomized algorithm, correlation length, stochastic medium, majorant cross section method (delta tracking), gamma radiation transport, computation cost.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation 0251-2021-0002
This study was performed at the Institute of Computational Mathematics and Mathematical Geophysics of the Siberian Branch of the Russian Academy of Sciences within the state assignment no. 0251-2021-0002.
Received: 15.03.2021
Revised: 16.03.2021
Accepted: 04.04.2021
English version:
Doklady Mathematics, 2021, Volume 103, Issue 3, Pages 143–145
DOI: https://doi.org/10.1134/S1064562421030133
Bibliographic databases:
Document Type: Article
UDC: 519.245
Language: Russian
Citation: G. A. Mikhailov, I. N. Medvedev, “New correlative randomized algorithm for estimating the influence of the medium stochasticity on particle transport”, Dokl. RAN. Math. Inf. Proc. Upr., 498 (2021), 55–58; Dokl. Math., 103:3 (2021), 143–145
Citation in format AMSBIB
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\transl
\jour Dokl. Math.
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\crossref{https://doi.org/10.1134/S1064562421030133}
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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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    References:22
     
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