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  1. 2025

  2. Study of the Bias in Monte Carlo N-Particle Estimates for Problems with Particle Interaction

    Mikhailov, G. A., Lotova, G. Z. & Rogasinsky, S. V., 10 Jan 2025, In: Doklady Mathematics. 110, 2, p. 416-420 5 p.

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

  3. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2025, Москва: Юрайт. 321 p.

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

  4. 2024

  5. Optimization of a Numerical-Statistical Algorithm for Estimating the Mean Particle Flow in a Bounded Random Medium with Multiplication

    Lotova, G. Z., Mikhailov, G. A. & Rozhenko, S. A., 25 Dec 2024, In: Computational Mathematics and Mathematical Physics. 64, 11, p. 2705-2715 11 p.

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

  6. Efficiently Realized Approximate Models of Random Functions in Stochastic Problems of the Theory of Particle Transfer

    Mikhailov, G. A., Lotova, G. Z. & Medvedev, I. N., Jun 2024, In: Numerical Analysis and Applications. 17, 2, p. 152-168 17 p.

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

  7. Study and Optimization of N-Particle Numerical Statistical Algorithm for Solving the Boltzmann Equation

    Lotova, G. Z., Mikhailov, G. A. & Rogasinsky, S. V., May 2024, In: Computational Mathematics and Mathematical Physics. 64, 5, p. 1065-1075 11 p.

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

  8. New Computer Efficient Approximations of Random Functions for Solving Stochastic Transport Problems

    Mikhailov, G. A. & Medvedev, I. N., Feb 2024, In: Computational Mathematics and Mathematical Physics. 64, 2, p. 314-325 12 p.

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

  9. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2024, Москва: Юрайт. 323 p.

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

  10. 2023

  11. Investigation of Overexponential Growth of Mean Particle Flux with Multiplication in Random Medium

    Lotova, G. Z. & Mikhailov, G. A., Dec 2023, In: Numerical Analysis and Applications. 16, 4, p. 337-347 11 p.

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

  12. Numerical-Statistical Investigation of Superexponential Growth of Mean Particle Flow with Multiplication in a Homogeneous Random Medium

    Михайлов, Г. А. & Лотова, Г. З., Dec 2023, In: Doklady Mathematics. 108, 3, p. 519-523 5 p.

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

  13. Study of Superexponential Growth of the Mean Particle Flux by Monte Carlo Method

    Lotova, G. Z. & Mikhailov, G. A., Sept 2023, In: Numerical Analysis and Applications. 16, 3, p. 229-235 7 p.

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

  14. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2023, Москва: Юрайт. 323 p.

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

  15. 2022

  16. Estimation of the average particle flux in a stochastically homogeneous medium by Monte Carlo method

    Lotova, G. Z. & Mikhailov, G. A., 1 Dec 2022, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 37, 6, p. 363-371 9 p.

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

  17. Construction and optimization of numerically-statistical projection algorithms for solving integral equations

    Korda, A. S., Mikhailov, G. A. & Rogasinsky, S. V., 1 Aug 2022, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 37, 4, p. 213-219 7 p.

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

  18. Comparative Analysis of Numerical-Statistical Projection Algorithms for Solving Transfer Theory Problems

    Mikhailov, G. A., Korda, A. S. & Rogasinsky, S. V., Feb 2022, In: Doklady Mathematics. 105, 1, p. 35-38 4 p.

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

  19. Construction of Effective Randomized Projective Estimates for Solutions of Integral Equations Based on Legendre Polynomials

    Mikhailov, G. A., Korda, A. S. & Rogasinsky, S. V., 2022, In: Doklady Mathematics. 106, 3, p. 475-478 4 p.

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

  20. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2022, Москва: Юрайт. 323 p.

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

  21. 2021

  22. International Conference «Marchuk Scientific Readings 2021» (MSR-2021)

    Mikhailov, G. A., Kabanikhin, S. I., Laevsky, Y. M., Penenko, V. V., Glinsky, B. M., Zagorulko, Y. A., Shishlenin, M. A., Podkolodnyy, N. L. & Penenko, A. V., 13 Dec 2021, In: Journal of Physics: Conference Series. 2099, 1, 011001.

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

  23. 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

  24. 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

  25. 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

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