New correlative randomized algorithms for statistical modelling of radiation transfer in stochastic medium

IF 0.5 4区 数学 Q4 MATHEMATICS, APPLIED Russian Journal of Numerical Analysis and Mathematical Modelling Pub Date : 2021-08-01 DOI:10.1515/rnam-2021-0018
G. Mikhailov, I. N. Medvedev
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引用次数: 2

Abstract

Abstract 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.
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随机介质辐射传递统计建模的新相关随机化算法
摘要相关随机化算法是通过使用一维分布和随机介质的相关函数或仅相关长度对最大截面算法(均衡、delta跟踪)进行简单随机化而构建的。可以使用简单的测试研究来调整所使用的相关长度的值。所进行的计算证实了新算法的实际有效性。
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来源期刊
CiteScore
1.40
自引率
16.70%
发文量
31
审稿时长
>12 weeks
期刊介绍: The Russian Journal of Numerical Analysis and Mathematical Modelling, published bimonthly, provides English translations of selected new original Russian papers on the theoretical aspects of numerical analysis and the application of mathematical methods to simulation and modelling. The editorial board, consisting of the most prominent Russian scientists in numerical analysis and mathematical modelling, selects papers on the basis of their high scientific standard, innovative approach and topical interest. Topics: -numerical analysis- numerical linear algebra- finite element methods for PDEs- iterative methods- Monte-Carlo methods- mathematical modelling and numerical simulation in geophysical hydrodynamics, immunology and medicine, fluid mechanics and electrodynamics, geosciences.
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