1. Monte-Carlo simulation of daily precipitation and river flow conditional spatio-temporal fields

    Kargapolova, N. A., 1 Jan 2017, 31st Annual European Simulation and Modelling Conference 2017, ESM 2017. EUROSIS, p. 295-300 6 p.

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

  2. Monte Carlo simulation of a laser beam image in the landing navigation system

    Kablukova, E. G., Prigarin, S. M. & Oshlakov, V. G., 2020, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics. Matvienko, G. G. & Romanovskii, O. A. (eds.). The International Society for Optical Engineering, 115601P. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11560).

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

  3. Monte Carlo Methods for Estimating the Probability Distributions of Criticality Parameters of Particle Transport in a Randomly Perturbed Medium

    Mikhailov, G. A. & Lotova, G. Z., 1 Nov 2018, In: Computational Mathematics and Mathematical Physics. 58, 11, p. 1828-1837 10 p.

    Research output: Contribution to journalArticlepeer-review

  4. Monte Carlo Method for Numerical Simulation of Solar Energy Radiation Transfer in Crystal Clouds

    Kargin, B. A., Kablukova, E. G., Mu, Q. & Prigarin, S. M., Jun 2024, In: Numerical Analysis and Applications. 17, 2, p. 140-151 12 p.

    Research output: Contribution to journalArticlepeer-review

  5. Monte Carlo Estimation of Functional Characteristics of Field Intensity of Radiation Passing through a Random Medium

    Ambos, A. Y. & Mikhailov, G. A., 1 Oct 2018, In: Numerical Analysis and Applications. 11, 4, p. 279-292 14 p.

    Research output: Contribution to journalArticlepeer-review

  6. Monte-Carlo calculation of the optical transfer function of the ocean-atmosphere system

    Kargin, B. A. & Ukhinova, O. S., 18 Dec 2019, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Matvienko, G. G. & Romanovskii, O. A. (eds.). The International Society for Optical Engineering, 8 p. 1120827. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11208).

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

  7. Monte Carlo algorithms for simulating optical radiation transfer in stochastic clouds

    Kablukova, E. G., Kargin, B. A. & Prigarin, S. M., 18 Dec 2019, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Matvienko, G. G. & Romanovskii, O. A. (eds.). The International Society for Optical Engineering, 8 p. 1120828. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11208).

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

  8. Monte Carlo Algorithms for Estimating Time Asymptotics of Multiplication Particle Flow in a Random Medium

    Mikhailov, G. A. & Lotova, G. Z., 1 Jan 2020, In: Doklady Mathematics. 101, 1, p. 40-42 3 p.

    Research output: Contribution to journalArticlepeer-review

  9. Monte-Carlo algorithms for defining the components of the aerosol scattering matrix

    Korda, A. S. & Ukhinov, S. A., 1 Jan 2018, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Romanovskii, O. A. & Matvienko, G. G. (eds.). The International Society for Optical Engineering, 10 p. 1083324. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 10833).

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

  10. Modifications of the standard vector Monte Carlo estimate for characteristics analysis of scattered polarized radiation

    Mikhailov, G. A., Prigarin, S. M. & Rozhenko, S. A., 1 Sept 2017, In: Doklady Mathematics. 96, 2, p. 461-464 4 p.

    Research output: Contribution to journalArticlepeer-review

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