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  1. 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

  2. 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

  3. Construction and optimization of numerically-statistical projection algorithms for solving integral equations

    Korda, A. S., Mikhailov, G. A. & Rogasinsky, S. V., 1 Aug 2022, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 37, 4, p. 213-219 7 p.

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

  4. Constructing a numerically statistical model of a homogeneous random field with a given distribution of the integral over one of the phase coordinates

    Mikhailov, G. A., Kablukova, E. G., Ogorodnikov, V. A. & Prigarin, S. M., Nov 2019, In: Doklady Mathematics. 100, 3, p. 529-532 4 p.

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

  5. Comparative analysis of vector algorithms for statistical modelling of polarized radiative transfer process

    Mikhailov, G. A., Prigarin, S. M. & Rozhenko, S. A., 28 Aug 2018, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 33, 4, p. 253-263 11 p.

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

  6. Comparative Analysis of Numerical-Statistical Projection Algorithms for Solving Transfer Theory Problems

    Mikhailov, G. A., Korda, A. S. & Rogasinsky, S. V., Feb 2022, In: Doklady Mathematics. 105, 1, p. 35-38 4 p.

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

  7. A new kernel-projective statistical estimator in the Monte Carlo method

    Mikhailov, G. A., Tracheva, N. V. & Ukhinov, S. A., 1 Dec 2020, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 35, 6, p. 341-353 13 p.

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

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