Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
New correlative randomized algorithms for statistical modelling of radiation transfer in stochastic medium. / Mikhailov, Guennady A.; Medvedev, Ilia N.
в: Russian Journal of Numerical Analysis and Mathematical Modelling, Том 36, № 4, 01.08.2021, стр. 219-225.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - New correlative randomized algorithms for statistical modelling of radiation transfer in stochastic medium
AU - Mikhailov, Guennady A.
AU - Medvedev, Ilia N.
N1 - Publisher Copyright: © 2021 Walter de Gruyter GmbH, Berlin/Boston.
PY - 2021/8/1
Y1 - 2021/8/1
N2 - Correlative randomized algorithms are constructed by simple randomization of the algorithm of maximum cross-section (equalization, delta tracking) with the use of a one-dimensional distribution and the correlation function or only correlation length of a random medium. The value of the used correlation length can be adjusted using simple test studies. The calculations carried out confirmed the practical effectiveness of the new algorithms.
AB - Correlative randomized algorithms are constructed by simple randomization of the algorithm of maximum cross-section (equalization, delta tracking) with the use of a one-dimensional distribution and the correlation function or only correlation length of a random medium. The value of the used correlation length can be adjusted using simple test studies. The calculations carried out confirmed the practical effectiveness of the new algorithms.
KW - computational cost
KW - correlation length
KW - correlative randomized algorithms
KW - gamma radiation transfer
KW - Maximum cross-section method (delta tracking)
KW - stochastic medium
UR - http://www.scopus.com/inward/record.url?scp=85117912948&partnerID=8YFLogxK
U2 - 10.1515/rnam-2021-0018
DO - 10.1515/rnam-2021-0018
M3 - Article
AN - SCOPUS:85117912948
VL - 36
SP - 219
EP - 225
JO - Russian Journal of Numerical Analysis and Mathematical Modelling
JF - Russian Journal of Numerical Analysis and Mathematical Modelling
SN - 0927-6467
IS - 4
ER -
ID: 34598028