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  1. 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

  2. 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

  3. 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

  4. 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

  5. Development and Optimization of Randomized Functional Numerical Methods for Solving the Practically Significant Fredholm Integral Equations of the Second Kind

    Voytishek, A. V., 1 Apr 2018, In: Journal of Applied and Industrial Mathematics. 12, 2, p. 382-394 13 p.

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

  6. 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

  7. On randomized algorithms for numerical solution of applied Fredholm integral equations of the second kind

    Voytishek, A. V. & Shipilov, N. M., 14 Nov 2017, Proceedings of the 8th International Conference on Mathematical Modeling, ICMM 2017. Egorov, IE., Popov, SV., Vabishchevich, PN., Antonov, MY., Lazarev, NP., Troeva, MS., Troeva, MS., Ivanova, AO. & Grigorev, YM. (eds.). American Institute of Physics Inc., Vol. 1907. 15 p. 030015. (AIP Conference Proceedings; vol. 1907).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  8. Optimization of Kernel Estimators of Probability Densities

    Voytishek, A. V. & Bulgakova, T. E., 1 Jan 2020, Optimization and Applications - 10th International Conference, OPTIMA 2019, Revised Selected Papers. Jaćimović, M., Khachay, M., Malkova, V. & Posypkin, M. (eds.). Springer Gabler, p. 254-266 13 p. (Communications in Computer and Information Science; vol. 1145 CCIS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  9. 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

  10. Вычислимые моделируемые преобразования декартовых координат для случайных векторов

    Abdrazakova, A. R. & Voytishek, A. V., Oct 2020, In: Journal of Computational Technologies. 25, 6, p. 62-84 23 p., 3.

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

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