Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Zh. Vychisl. Mat. Mat. Fiz.:
Year:
Volume:
Issue:
Page:
Find




Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register

Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2018, Volume 58, Number 11, Pages 1900–1910
DOI: https://doi.org/10.31857/S004446690003541-6 (Mi zvmmf10846) 		 
This article is cited in 2 scientific papers (total in 2 papers)

Monte Carlo methods for estimating the probability distributions of criticality parameters of particle transport in a randomly perturbed medium

G. A. Mikhailovab, G. Z. Lotovaab

a Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
b Novosibirsk State University, Novosibirsk, Russia
Citations (2)
References:
PDF
HTML
DOI: https://doi.org/10.31857/S004446690003541-6
Abstract: Parallelizable Monte Carlo algorithms are developed for estimating the probability moments of criticality parameters for transport of particles with multiplication in a random medium. For this purpose, new iterative estimates of the multiplication factor and recurrence representations of statistical estimates of moments are constructed by applying the double randomization method and the randomized projection method. The practical efficiency of the proposed approaches is confirmed by test results obtained using special randomized homogenization with an improved diffusion approximation for a multilayered ball.
Key words: Monte Carlo method, statistical modeling, transport theory, effective particle multiplication factor.
Funding agency Grant number
Russian Foundation for Basic Research 18-01-00599_а
18-01-00356_а
17-01-00823_а
16-01-00530_а
16-01-00145_а
English version:
Computational Mathematics and Mathematical Physics, 2018, Volume 58, Issue 11, Pages 1828–1837
DOI: https://doi.org/10.1134/S0965542518110088
Bibliographic databases:
Document Type: Article
UDC: 519.676
Language: Russian
Citation: G. A. Mikhailov, G. Z. Lotova, “Monte Carlo methods for estimating the probability distributions of criticality parameters of particle transport in a randomly perturbed medium”, Zh. Vychisl. Mat. Mat. Fiz., 58:11 (2018), 1900–1910; Comput. Math. Math. Phys., 58:11 (2018), 1828–1837
Citation in format AMSBIB
\Bibitem{MikLot18}
\by G.~A.~Mikhailov, G.~Z.~Lotova
\paper Monte Carlo methods for estimating the probability distributions of criticality parameters of particle transport in a randomly perturbed medium
\jour Zh. Vychisl. Mat. Mat. Fiz.
\yr 2018
\vol 58
\issue 11
\pages 1900--1910
\mathnet{http://mi.mathnet.ru/zvmmf10846}
\crossref{https://doi.org/10.31857/S004446690003541-6}
\elib{https://elibrary.ru/item.asp?id=38641605}
\transl
\jour Comput. Math. Math. Phys.
\yr 2018
\vol 58
\issue 11
\pages 1828--1837
\crossref{https://doi.org/10.1134/S0965542518110088}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000452301900012}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85058852821}
Linking options:
  • https://www.mathnet.ru/eng/zvmmf10846
  • https://www.mathnet.ru/eng/zvmmf/v58/i11/p1900
    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Журнал вычислительной математики и математической физики Computational Mathematics and Mathematical Physics
    Statistics & downloads:
    Abstract page:264
    References:51
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024