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  1. 2025

  2. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2025, Москва: Юрайт. 321 p.

    Research output: Book/Report › Teaching manual › peer-review

  3. 2024

  4. Choice of a constant in the expression for the error of the Monte Carlo method

    Bryzgalov, V., Shlimbetov, N. & Voytishek, A., 1 Jun 2024, In: Monte Carlo Methods and Applications. 30, 2, p. 131-136 6 p.

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

  5. Choice of Approximation Bases Used in Computational Functional Algorithms for Approximating Probability Densities on the Basis of Given Sample

    Voytishek, A. V. & Shlimbetov, N. K., Jun 2024, In: Numerical Analysis and Applications. 17, 2, p. 116-131 16 p.

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

  6. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2024, Москва: Юрайт. 323 p.

    Research output: Book/Report › Teaching manual › peer-review

  7. 2023

  8. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2023, Москва: Юрайт. 323 p.

    Research output: Book/Report › Teaching manual › peer-review

  9. 2022

  10. On numerical stability of randomized projection functional algorithms

    Bulgakova, T. E. & Voytishek, A. V., 2022, In: Communications in Statistics: Simulation and Computation. 51, 4, p. 1637-1646 10 p.

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

  11. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2022, Москва: Юрайт. 323 p.

    Research output: Book/Report › Teaching manual › peer-review

  12. 2021

  13. Using the inverse distribution function method and the modified superposition method in the NMPUD computer system

    Cherkashin, D. A. & Voytishek, A. V., 13 Dec 2021, In: Journal of Physics: Conference Series. 2099, 1, 012071.

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

  14. Conditional Optimization of the Functional Computational Kernel Algorithm for Approximating the Probability Density on the Basis of a Given Sample

    Bulgakova, T. E. & Voytishek, A. V., Sept 2021, In: Computational Mathematics and Mathematical Physics. 61, 9, p. 1401-1415 15 p., 3.

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

  15. Classification and Applications of Randomized Functional Numerical Algorithms for the Solution of Second-Kind Fredholm Integral Equations

    Voytishek, A. V., May 2021, In: Journal of Mathematical Sciences (United States). 254, 5, p. 589-605 17 p.

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

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