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[1] Averina T. A., Karachanskaya E. V., Rybakov K. A., “Statistical modeling of random processes with invariants”, Proc. of the 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON (Novosibirsk, Akademgorodok, Russia, September 18–22, 2017), IEEE, 2017, 34–37
[2] Averina T. A., Karachanskaya E. V., Rybakov K. A., “Statistical analysis of diffusion systems with invariants”, Russ. J. of Numerical Analysis and Mathematical Modelling, 33:1 (2018), 1–13 | DOI | MR | Zbl
[3] Dubko V. A., Voprosy teorii i primeneniya stokhasticheskikh differentsial'nykh uravnenii, DVO AN SSSR, Vladivostok, 1989
[4] Dubko V. A., Stokhasticheskie differentsial'nye uravneniya. Izbrannye razdely, Logos, Kiev, 2012
[5] Dubko V. A., Karachanskaya E. V., “Stokhasticheskie pervye integraly, yadra integral'nykh invariantov i uravneniya Kolmogorova”, Dal'nevostochnyi matematicheskii zhurnal, 14:2 (2014), 200–216 | Zbl
[6] Karachanskaya E. V., Sluchainye protsessy s invariantami, Izd-vo Tikhookeanskogo gos. universiteta, Khabarovsk, 2014
[7] Mukharlyamov R. G., Beshaw A. W., “Solving differential equations of motion for constrained mechanical systems”, Vestnik RUDN. Seriya: Matematika. Informatika. Fizika, 2013, no. 3, 81–91
[8] Galiullin I. A., Svyazi v mekhanike: teoriya poverkhnostei, Izd-vo MAI, M., 2016
[9] Hairer E., Lubich C., Wanner G., Geometric Numerical Integration. Structure Preserving Algorithms for Ordinary Differential Equations, Springer, 2006 | MR | Zbl
[10] Milshtein G. N., Tretyakov M. V., Stochastic Numerics for Mathematical Physics, Springer, 2004 | MR
[11] Levakov A. A., Stokhasticheskie differentsial'nye uravneniya, BGU, Minsk, 2009
[12] Kloeden P. E., Platen E., Numerical Solution of Stochastic Differential Equations, Springer, 1995 | MR
[13] Averina T. A., “Ustoichivye chislennye metody resheniya stokhasticheskikh differentsial'nykh uravnenii v smysle Stratonovicha”, Vestnik Buryatskogo gos. universiteta. Seriya: Matematika. Informatika, 2012, no. 9, 91–95
[14] Kuznetsov D. F., “Stokhasticheskie differentsial'nye uravneniya: teoriya i praktika chislennogo resheniya. S programmami v srede Matlab. 5-e izdanie (pererabotannoe i dopolnennoe)”, Differentsial'nye uravneniya i protsessy upravleniya, 2017, no. 2
[15] Il'in V. A., Poznyak E. G., Osnovy matematicheskogo analiza, v. 1, Nauka, M., 1982
[16] Artemiev S. S., Averina T. A., Numerical Analysis of Systems of Ordinary and Stochastic Differential Equations, VSP, 1997 | MR | Zbl
[17] Artemiev S. S., Marchenko M. A., Korneev V. D., Yakunin M. A., Ivanov A. A., Smirnov D. D., Analiz stokhasticheskikh kolebanii metodom Monte-Karlo na superkomp'yuterakh, Izd-vo SO RAN, Novosibirsk, 2016
[18] Gusev S. A., “Minimizing the variance of a mathematical expectation estimate for a diffusion process functional based on a parametric transformation of a parabolic boundary value problem”, Numerical Analysis and Applications, 4:2 (2011), 114–124 | DOI | Zbl
[19] Rybakov K. A., Statisticheskie metody analiza i fil'tratsii v nepreryvnykh stokhasticheskikh sistemakh, Izd-vo MAI, M., 2017
[20] Averina T. A., Rybakov K. A., “An approximate solution of the prediction problem for stochastic jump-diffusion systems”, Numerical Analysis and Applications, 10:1 (2017), 1–10 | DOI | MR | Zbl