1. 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 journalConference articlepeer-review

  2. Using maximum cross section method for filtering jump-diffusion random processes

    Averina, T. A. & Rybakov, K. A., 1 Apr 2020, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 35, 2, p. 55-67 13 p.

    Research output: Contribution to journalArticlepeer-review

  3. Universal modification of vector weighted method of dependent trials

    Medvedev, I. N., 2022, In: Communications in Statistics: Simulation and Computation. 51, 2, p. 518-526 9 p.

    Research output: Contribution to journalArticlepeer-review

  4. Universal modification of vector weighted method of correlated sampling with finite computational cost

    Medvedev, I. N., 1 Feb 2019, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 34, 1, p. 43-55 13 p.

    Research output: Contribution to journalArticlepeer-review

  5. Uncertainty quantification and stochastic polynomial chaos expansion for recovering random data in Darcy and Diffusion equations

    Shalimova, I. A., Sabelfeld, K. K. & Dulzon, O. V., 1 Dec 2017, In: Journal of Inverse and Ill-Posed Problems. 25, 6, p. 733-745 13 p.

    Research output: Contribution to journalArticlepeer-review

  6. Two variants of Monte Carlo projection method for numerical solution of nonlinear Boltzmann equation

    Rogasinsky, S. V., 1 Jun 2019, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 34, 3, p. 143-150 8 p.

    Research output: Contribution to journalArticlepeer-review

  7. Two stochastic algorithms for solving elastostatics problems governed by the Lamé equation

    Kireeva, A., Aksyuk, I. & Sabelfeld, K. K., 1 Jun 2023, In: Monte Carlo Methods and Applications. 29, 2, p. 143-160 18 p.

    Research output: Contribution to journalArticlepeer-review

  8. Two-Level Least Squares Methods in Krylov Subspaces

    Il’in, V. P., 1 Aug 2018, In: Journal of Mathematical Sciences (United States). 232, 6, p. 892-902 11 p.

    Research output: Contribution to journalArticlepeer-review

  9. Two-level iterative methods for solving the saddle point problems

    Il'in, V. P., 4 Jan 2021, In: Journal of Physics: Conference Series. 1715, 1, 012004.

    Research output: Contribution to journalConference articlepeer-review

  10. Two-dimensional projection Monte Carlo estimators for the study of angular characteristics of polarized radiation

    Tracheva, N. V. & Ukhinov, S. A., 26 Jun 2018, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 33, 3, p. 187-197 11 p.

    Research output: Contribution to journalArticlepeer-review

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