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  1. 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

  2. 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

  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. 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

  5. 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

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