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  1. 2021

  2. Numerical-statistical study of the prognostic efficiency of the SEIR model

    Lotova, G. Z., Lukinov, V. L., Marchenko, M. A., Mikhailov, G. A. & Smirnov, D. D., 1 Dec 2021, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 36, 6, p. 337-345 9 p.

    Research output: Contribution to journal › Article › peer-review

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

    Mikhailov, G. A. & Medvedev, I. N., 1 Aug 2021, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 36, 4, p. 219-225 7 p.

    Research output: Contribution to journal › Article › peer-review

  4. Numerical-Statistical and Analytical Study of Asymptotics for the Average Multiplication Particle Flow in a Random Medium

    Lotova, G. Z. & Mikhailov, G. A., Aug 2021, In: Computational Mathematics and Mathematical Physics. 61, 8, p. 1330-1338 9 p.

    Research output: Contribution to journal › Article › peer-review

  5. New Correlative Randomized Algorithm for Estimating the Influence of the Medium Stochasticity on Particle Transport

    Mikhailov, G. A. & Medvedev, I. N., May 2021, In: Doklady Mathematics. 103, 3, p. 143-145 3 p.

    Research output: Contribution to journal › Article › peer-review

  6. International conference «Marchuk scientific readings 2020» (MSR-2020), dedicated to the 95th anniversary of the birthday of Academician Guri I. Marchuk

    Mikhailov, G. A., Kabanikhin, S. I., Laevskii, Y. M., Penenko, V. V., Glinsky, B. M. & Penenko, A. V., 4 Jan 2021, In: Journal of Physics: Conference Series. 1715, 1, 011001.

    Research output: Contribution to journal › Editorial › peer-review

  7. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2021, Москва: Юрайт. 323 p.

    Research output: Book/Report › Teaching manual › peer-review

  8. 2020

  9. A new kernel-projective statistical estimator in the Monte Carlo method

    Mikhailov, G. A., Tracheva, N. V. & Ukhinov, S. A., 1 Dec 2020, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 35, 6, p. 341-353 13 p.

    Research output: Contribution to journal › Article › peer-review

  10. Numerically statistical investigation of the partly super-exponential growth rate in the COVID-19 pandemic (throughout the world)

    Lotova, G. Z. & Mikhailov, G. A., 1 Dec 2020, In: Journal of Inverse and Ill-Posed Problems. 28, 6, p. 877-879 3 p.

    Research output: Contribution to journal › Article › peer-review

  11. New Statistical Kernel-Projection Estimator in the Monte Carlo Method

    Mikhailov, G. A., Tracheva, N. V. & Ukhinov, S. A., 1 Jul 2020, In: Doklady Mathematics. 102, 1, p. 313-317 5 p.

    Research output: Contribution to journal › Article › peer-review

  12. Randomized exponential transformation algorithm for solving the stochastic problems of gamma-ray transport theory

    Medvedev, I. N. & Mikhailov, G. A., 1 Jun 2020, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 35, 3, p. 153-162 10 p.

    Research output: Contribution to journal › Article › peer-review

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