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  1. 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

  2. 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

  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. 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

  5. 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

  6. Simulation of a random field with given distribution of one-dimensional integral

    Kablukova, E. G., Mikhailov, G. A., Ogorodnikov, V. A. & Prigarin, S. M., 1 Dec 2019, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 34, 6, p. 327-338 12 p.

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

  7. Study and Optimization of N-Particle Numerical Statistical Algorithm for Solving the Boltzmann Equation

    Lotova, G. Z., Mikhailov, G. A. & Rogasinsky, S. V., May 2024, In: Computational Mathematics and Mathematical Physics. 64, 5, p. 1065-1075 11 p.

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

  8. Study of Superexponential Growth of the Mean Particle Flux by Monte Carlo Method

    Lotova, G. Z. & Mikhailov, G. A., Sept 2023, In: Numerical Analysis and Applications. 16, 3, p. 229-235 7 p.

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

  9. Study of the Bias in Monte Carlo N-Particle Estimates for Problems with Particle Interaction

    Mikhailov, G. A., Lotova, G. Z. & Rogasinsky, S. V., 10 Jan 2025, In: Doklady Mathematics. 110, 2, p. 416-420 5 p.

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

  10. The study of time dependence of particle flux with multiplication in a random medium

    Lotova, G. Z. & Mikhailov, G. A., 1 Feb 2020, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 35, 1, p. 11-20 10 p.

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

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