1. 2023
  2. Monte Carlo study of lidar returns depending on the cloud optical depth

    Kablukova, E. G. & Prigarin, S. M., 2023, Proceedings of SPIE - The International Society for Optical Engineering. SPIE-Intl Soc Optical Eng, Vol. 12780. 7 p. 127801A

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  3. Статистическое моделирование. Методы Монте-Карло

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

    Research output: Book/ReportTeaching manualpeer-review

  4. 2022
  5. 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 journalArticlepeer-review

  6. Stochastic Simulation Algorithms for Solving Transient Anisotropic Diffusion-recombination Equations and Application to Cathodoluminescence Imaging

    Sabelfeld, K. K. & Kireeva, A. E., 1 Dec 2022, In: Methodology and Computing in Applied Probability. 24, p. 3029-3048 20 p.

    Research output: Contribution to journalArticlepeer-review

  7. Stochastic model and simulation of GaN nanowires formation characterized by long incubation time followed by burst nucleation and growth

    Sabelfeld, K. K. & Kablukova, E. G., Oct 2022, In: Computational Materials Science. 213, 111664.

    Research output: Contribution to journalArticlepeer-review

  8. Monte Carlo Simulation of Ring-Shaped Structures of Laser Pulse Radiation Scattered in Atmospheric Clouds and Water Media

    Prigarin, S. M. & Mironova, D. E., Sept 2022, In: Numerical Analysis and Applications. 15, 3, p. 247-255 9 p.

    Research output: Contribution to journalArticlepeer-review

  9. Stochastic Model of Conditional Non-stationary Time Series of the Wind Chill Index in West Siberia

    Kargapolova, N. & Ogorodnikov, V., Sept 2022, In: Methodology and Computing in Applied Probability. 24, 3, p. 1467-1483 17 p.

    Research output: Contribution to journalArticlepeer-review

  10. 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 journalArticlepeer-review

  11. On the efficiency of using correlative randomized algorithms for solving problems of gamma radiation transfer in stochastic medium

    Medvedev, I. N., 1 Aug 2022, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 37, 4, p. 231-240 10 p.

    Research output: Contribution to journalArticlepeer-review

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