1. 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, p. 229 8 p. 1120827. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11208).

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

  2. 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, p. 230 8 p. 1120828. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11208).

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

  3. 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

  4. 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, p. 223 10 p. 1083324. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 10833).

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

  5. 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

  6. Modelling Multiphase Flows of Hydrocarbons in Gas-Condensate and Oil Wells

    Usov, E. V., Ulyanov, V. N., Butov, A. A., Chuhno, V. I. & Lyhin, P. A., Nov 2020, In: Mathematical Models and Computer Simulations. 12, 6, p. 1005-1013 9 p.

    Research output: Contribution to journalArticlepeer-review

  7. (m, k)-Methods for Control Theory Problems

    Novikov, A., Levykin, A. & Novikov, E., Aug 2019, 2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019. Institute of Electrical and Electronics Engineers Inc., p. 120-124 5 p. 8880174. (2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019).

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

  8. Mesh-free stochastic algorithms for systems of drift–diffusion–reaction equations and anisotropic diffusion flux calculations

    Sabelfeld, K., Jul 2020, In: Probabilistic Engineering Mechanics. 61, 11 p., 103065.

    Research output: Contribution to journalArticlepeer-review

  9. Maximum cross section method in the filtering problem for continuous systems with Markovian switching

    Averina, T. A. & Rybakov, K. A., 1 Jun 2021, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 36, 3, p. 127-137 11 p.

    Research output: Contribution to journalArticlepeer-review

  10. Maximum Cross Section Method in Optimal Filtering of Jump-Diffusion Random Processes

    Averina, T. & Rybakov, K., Aug 2019, 2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019. Institute of Electrical and Electronics Engineers Inc., p. 8-11 4 p. 8880234. (2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019).

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

ID: 3086447