Geodesic
Monte Carlo algorithms for estimating time asymptotics of multiplication particle flow in a random medium
Doklady Rossijskoj akademii nauk. Matematika, informatika, processy upravleniâ, Tome 490 (2020), pp. 47-50

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The fluctuations of the number of scattering and multiplying particles in a random medium are investigated as functions of time. For this purpose, randomized Monte Carlo algorithms for estimating the probabilistic moments of the corresponding exponential asymptotic parameter are constructed.
Keywords: Monte Carlo method, weighted modifications, transport theory, time constant. 
@article{DANMA_2020_490_a9,
     author = {G. A. Mikhailov and G. Z. Lotova},
     title = {Monte {Carlo} algorithms for estimating time asymptotics of multiplication particle flow in a random medium},
     journal = {Doklady Rossijskoj akademii nauk. Matematika, informatika, processy upravleni\^a},
     pages = {47--50},
     publisher = {mathdoc},
     volume = {490},
     year = {2020},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/DANMA_2020_490_a9/}
}
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G. A. Mikhailov; G. Z. Lotova. Monte Carlo algorithms for estimating time asymptotics of multiplication particle flow in a random medium. Doklady Rossijskoj akademii nauk. Matematika, informatika, processy upravleniâ, Tome 490 (2020), pp. 47-50. http://geodesic.mathdoc.fr/item/DANMA_2020_490_a9/