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  1. 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 journal › Article › peer-review

  2. 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 journal › Article › peer-review

  3. 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 journal › Article › peer-review

  4. 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

  5. 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

  6. International conference «Marchuk scientific readings 2020» (MSR-2020), dedicated to the 95th anniversary of the birthday of Academician Guri I. Marchuk

    Mikhailov, G. A., Kabanikhin, S. I., Laevskii, Y. M., Penenko, V. V., Glinsky, B. M. & Penenko, A. V., 4 Jan 2021, In: Journal of Physics: Conference Series. 1715, 1, 011001.

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

  7. Improvement of Multidimensional Randomized Monte Carlo Algorithms with “Splitting”

    Mikhailov, G. A., 1 May 2019, In: Computational Mathematics and Mathematical Physics. 59, 5, p. 775-781 7 p.

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

  8. 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

  9. 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

  10. 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

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