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  1. 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

  2. Nested alternating - triangular incomplete factorization methods

    Gololobov, S. V., Il'in, V. P., Krylov, A. M. & Petukhov, A. V., 4 Jan 2021, In: Journal of Physics: Conference Series. 1715, 1, 012003.

    Research output: Contribution to journal › Conference article › peer-review

  3. Multi-preconditioned domain decomposition methods in the krylov subspaces

    Ilin, V. P., 1 Jan 2017, Numerical Analysis and Its Applications - 6th International Conference, NAA 2016, Revised Selected Papers. Dimov, Farago & Vulkov, L. (eds.). Springer, p. 95-106 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10187 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  4. Monte Carlo tracking drift-diffusion trajectories algorithm for solving narrow escape problems

    Sabelfeld, K. K. & Popov, N., 1 Sept 2020, In: Monte Carlo Methods and Applications. 26, 3, p. 177-191 15 p.

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

  5. 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. The International Society for Optical Engineering, Vol. 12780. 7 p. 127801A

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  6. Monte Carlo Simulation of Wide-Angle Lidar Signals

    Prigarin, S. M. & Mironova, D. E., Jun 2024, In: Numerical Analysis and Applications. 17, 2, p. 188-195 8 p.

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

  7. Monte Carlo simulation of the optical radiation transfer process in stochastic scattering media

    Kargin, B. A., Kablukova, E. G. & Zhen, P., 2021, In: Communications in Statistics: Simulation and Computation. 50, 12, p. 3984-3991 8 p.

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

  8. Monte Carlo simulation of the laser pulse propagation in water layers with reflection on boundaries

    Mironova, D. E. & Prigarin, S. M., 4 Jan 2021, In: Journal of Physics: Conference Series. 1715, 1, 012065.

    Research output: Contribution to journal › Conference article › peer-review

  9. Monte Carlo simulation of the joint non-Gaussian periodically correlated time-series of air temperature and relative humidity

    Kargapolova, N., Khlebnikova, E. & Ogorodnikov, V., 1 Dec 2018, In: Statistical Papers. 59, 4, p. 1471-1481 11 p.

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

  10. Monte Carlo simulation of the effects caused by multiple scattering of ground-based and spaceborne lidar pulses in clouds

    Prigarin, S. M., 1 Jan 2017, In: Atmospheric and Oceanic Optics. 30, 1, p. 79-83 5 p.

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

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