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  1. Randomized Monte Carlo Algorithms for Problems with Random Parameters (“Double Randomization” Method)

    Mikhailov, G. A., 1 Apr 2019, In: Numerical Analysis and Applications. 12, 2, p. 155-165 11 p.

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

  2. Randomized exponential transformation algorithm for solving the stochastic problems of gamma-ray transport theory

    Medvedev, I. N. & Mikhailov, G. A., 1 Jun 2020, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 35, 3, p. 153-162 10 p.

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

  3. Probability representations and the Monte Carlo method for solving equations with powers of elliptic operators

    Mikhailov, GA. & Lukinov, VL., 2003, In: Doklady Mathematics. 67, 3, p. 423-425 3 p.

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

  4. Probabilistic representation and Monte Carlo methods for the first boundary value problem for a polyharmonic equation

    Lukinov, VL. & Mikhailov, GA., 2004, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 19, 5, p. 433-448 16 p.

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

  5. Optimization of Randomized Monte Carlo Algorithms for Solving Problems with Random Parameters

    Mikhailov, G. A., 1 Sept 2018, In: Doklady Mathematics. 98, 2, p. 448-451 4 p.

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

  6. Optimization of a Numerical-Statistical Algorithm for Estimating the Mean Particle Flow in a Bounded Random Medium with Multiplication

    Lotova, G. Z., Mikhailov, G. A. & Rozhenko, S. A., 25 Dec 2024, In: Computational Mathematics and Mathematical Physics. 64, 11, p. 2705-2715 11 p.

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

  7. Numerical-statistical study of the prognostic efficiency of the SEIR model

    Lotova, G. Z., Lukinov, V. L., Marchenko, M. A., Mikhailov, G. A. & Smirnov, D. D., 1 Dec 2021, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 36, 6, p. 337-345 9 p.

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

  8. Numerical-Statistical Investigation of Superexponential Growth of Mean Particle Flow with Multiplication in a Homogeneous Random Medium

    Михайлов, Г. А. & Лотова, Г. З., Dec 2023, In: Doklady Mathematics. 108, 3, p. 519-523 5 p.

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

  9. Numerical-Statistical and Analytical Study of Asymptotics for the Average Multiplication Particle Flow in a Random Medium

    Lotova, G. Z. & Mikhailov, G. A., Aug 2021, In: Computational Mathematics and Mathematical Physics. 61, 8, p. 1330-1338 9 p.

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

  10. Numerically statistical simulation of the intensity field of the radiation transmitted through a random medium

    Ambos, A. Y. & Mikhailov, G. A., 26 Jun 2018, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 33, 3, p. 161-171 11 p.

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

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