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MATHEMATICS
Comparative analysis of various numerically statistical projection algorithms for the solving the transfer theory problems
G. A. Mikhailovab, A. S. Kordaa, S. V. Rogazinskiiab a Institute of Computational Mathematics and Mathematical Geophysics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
b Novosibirsk State University, Novosibirsk, Russia
Abstract:
A comparative analysis of various variants of the Monte Carlo projective algorithm for estimating the particles flow through a layer of medium with scattering of the Henyey–Greenstein type is carried out. The possibility of minimizing the mean-square error by equalizing the corresponding stochastic and deterministic terms is investigated.
Keywords:
Monte Carlo method, projection estimator, mean-square error, collision estimator, direct simulation, Laguerre polynomials, Henyey–Greenstein indicatrix.
Received: 29.10.2021 Revised: 29.10.2021 Accepted: 20.12.2021
Citation:
G. A. Mikhailov, A. S. Korda, S. V. Rogazinskii, “Comparative analysis of various numerically statistical projection algorithms for the solving the transfer theory problems”, Dokl. RAN. Math. Inf. Proc. Upr., 502 (2022), 42–45; Dokl. Math., 105:1 (2022), 35–38
Linking options:
https://www.mathnet.ru/eng/danma236 https://www.mathnet.ru/eng/danma/v502/p42
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