1. Stochastic model of spatial fields of the average daily wind chill index

    Kargapolova, N., 1 Apr 2020, In: Information (Switzerland). 11, 4, 13 p., 177.

    Research output: Contribution to journalArticlepeer-review

  2. Stochastic Model of Conditional Non-stationary Time Series of the Wind Chill Index in West Siberia

    Kargapolova, N. & Ogorodnikov, V., Sept 2022, In: Methodology and Computing in Applied Probability. 24, 3, p. 1467-1483 17 p.

    Research output: Contribution to journalArticlepeer-review

  3. Stochastic model and simulation of growth and coalescence of spontaneously formed GaN nanowires in molecular beam epitaxy

    Sabelfeld, K. K. & Kablukova, E. G., 1 Jan 2018, In: Computational Materials Science. 141, p. 341-352 12 p.

    Research output: Contribution to journalArticlepeer-review

  4. Stochastic model and simulation of GaN nanowires formation characterized by long incubation time followed by burst nucleation and growth

    Sabelfeld, K. K. & Kablukova, E. G., Oct 2022, In: Computational Materials Science. 213, 111664.

    Research output: Contribution to journalArticlepeer-review

  5. Stochastic algorithm for solving transient diffusion equations with a precise accounting of reflection boundary conditions on a substrate surface

    Karl, S., 1 Oct 2019, In: Applied Mathematics Letters. 96, p. 187-194 8 p.

    Research output: Contribution to journalArticlepeer-review

  6. Statistical simulation of radiation transfer in horizontally inhomogeneous stratus clouds

    Kablukova, E. G. & Prigarin, S. M., 4 Jan 2021, In: Journal of Physics: Conference Series. 1715, 1, 012062.

    Research output: Contribution to journalConference articlepeer-review

  7. Statistical modelling algorithm for solving the nonlinear Boltzmann equation based on the projection method

    Rogazinsky, S. V., 27 Jun 2017, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 32, 3, p. 197-202 6 p.

    Research output: Contribution to journalArticlepeer-review

  8. Statistical modeling of random processes with invariants

    Averina, T., Karachanskaya, E. & Rybakov, K., 14 Nov 2017, Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc., p. 34-37 4 p. 8109832. (Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  9. Statistical analysis of diffusion systems with invariants

    Averina, T. A., Karachanskaya, E. V. & Rybakov, K. A., 23 Feb 2018, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 33, 1, p. 1-13 13 p.

    Research output: Contribution to journalArticlepeer-review

  10. Solving the Pure Neumann Problem by a Finite Element Method

    Ivanov, M. I., Kremer, I. A. & Urev, M. V., 1 Oct 2019, In: Numerical Analysis and Applications. 12, 4, p. 359-371 13 p.

    Research output: Contribution to journalArticlepeer-review

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