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  1. 2021

  2. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2021, Москва: Юрайт. 323 p.

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

  3. Статистическое моделирование многомерных гауссовских распределений

    Пригарин, С. М., 2021, Москва: Юрайт. 83 p.

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

  4. Численные методы. Алгоритмы моделирования систем со случайной структурой

    Аверина, Т. А., 2021, Москва: Юрайт. 156 p.

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

  5. Численные методы. Верификация алгоритмов решения систем со случайной структурой

    Аверина, Т. А., 2021, Москва: Юрайт. 179 p.

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

  6. 2020

  7. Electron-hole transport in semiconductors: Stochastic dynamics simulation

    Sabelfeld, K. K. & Kireeva, A., 21 Dec 2020, In: Journal of Physics: Conference Series. 1680, 1, 012044.

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

  8. 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

  9. Drift velocity in GaN semiconductors: Monte Carlo simulation and comparison with experimental measurements

    Kablukova, E., Sabelfeld, K., Protasov, D. Y. & Zhuravlev, K. S., 1 Dec 2020, In: Monte Carlo Methods and Applications. 26, 4, p. 263-271 9 p.

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

  10. Numerically statistical investigation of the partly super-exponential growth rate in the COVID-19 pandemic (throughout the world)

    Lotova, G. Z. & Mikhailov, G. A., 1 Dec 2020, In: Journal of Inverse and Ill-Posed Problems. 28, 6, p. 877-879 3 p.

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

  11. Numerical simulation of optical phenomena in atmospheric clouds and fogs

    Zakovryashin, A. V. & Prigarin, S. M., 1 Dec 2020, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 35, 6, p. 367-375 9 p.

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

  12. Modelling Multiphase Flows of Hydrocarbons in Gas-Condensate and Oil Wells

    Usov, E. V., Ulyanov, V. N., Butov, A. A., Chuhno, V. I. & Lyhin, P. A., Nov 2020, In: Mathematical Models and Computer Simulations. 12, 6, p. 1005-1013 9 p.

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

  13. On Moment Methods in Krylov Subspaces

    Il’in, V. P., Nov 2020, In: Doklady Mathematics. 102, 3, p. 478-482 5 p.

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

  14. Stochastic simulation algorithms for solving a nonlinear system of drift–diffusion-Poisson equations of semiconductors

    Sabelfeld, K. K. & Kireeva, A., 15 Oct 2020, In: Physica A: Statistical Mechanics and its Applications. 556, 19 p., 124800.

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

  15. Calculation of the expansion dynamics of evaporated tungsten under the action of a laser pulse

    Arakcheev, A. S., Lazareva, G. G., Maksimova, A. G., Popov, V. A. & Ivashin, N. E., 14 Oct 2020, In: Journal of Physics: Conference Series. 1640, 1, 012007.

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

  16. 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

  17. Monte Carlo tracking drift-diffusion trajectories algorithm for solving narrow escape problems

    Sabelfeld, K. K. & Popov, N., 1 Sept 2020, In: Monte Carlo Methods and Applications. 26, 3, p. 177-191 15 p.

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

  18. A new Global Random Walk algorithm for calculation of the solution and its derivatives of elliptic equations with constant coefficients in an arbitrary set of points

    Sabelfeld, K. & Kireeva, A., Sept 2020, In: Applied Mathematics Letters. 107, 9 p., 106466.

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

  19. Iterative Solution of Saddle-Point Systems of Linear Equations

    Il’in, V. P. & Kazantcev, G. Y., 1 Aug 2020, In: Journal of Mathematical Sciences (United States). 249, 2, p. 199-208 10 p.

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

  20. On Multigrid Methods for Solving Two-Dimensional Boundary-Value Problems

    Gurieva, Y. L., Il’in, V. P. & Petukhov, A. V., 1 Aug 2020, In: Journal of Mathematical Sciences (United States). 249, 2, p. 118-127 10 p.

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

  21. New Statistical Kernel-Projection Estimator in the Monte Carlo Method

    Mikhailov, G. A., Tracheva, N. V. & Ukhinov, S. A., 1 Jul 2020, In: Doklady Mathematics. 102, 1, p. 313-317 5 p.

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

  22. Mesh-free stochastic algorithms for systems of drift–diffusion–reaction equations and anisotropic diffusion flux calculations

    Sabelfeld, K., Jul 2020, In: Probabilistic Engineering Mechanics. 61, 11 p., 103065.

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

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