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  1. 2026

  2. Finite Element Method Solution of a Boundary Value Problem for an Elliptic Equation with the Dirac Delta Function on the Right-Hand Side

    Romanov, D. N. & Urev, M. V., 27 Feb 2026, In: Numerical Analysis and Applications. 18, 4, p. 309-319 11 p.

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

  3. 2025

  4. Monte Carlo Simulation of Polarized Signals of a Laser Navigation System

    Kablukova, E. G., Oshlakov, V. G. & Prigarin, S. M., 14 Jul 2025, In: Atmospheric and Oceanic Optics. 38, 3, p. 317-326 10 p.

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

  5. Monte Carlo Simulation of Laser Pulse Propagation in Water Layers

    Prigarin, S. M., An, Z. & Mironova, D. E., 24 Mar 2025, In: Atmospheric and Oceanic Optics. 37, Suppl 1, p. S38-S43 6 p.

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

  6. Study of the Bias in Monte Carlo N-Particle Estimates for Problems with Particle Interaction

    Mikhailov, G. A., Lotova, G. Z. & Rogasinsky, S. V., 10 Jan 2025, In: Doklady Mathematics. 110, 2, p. 416-420 5 p.

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

  7. Declustering of macroparticles in long-term simulations of plasma wakefield acceleration

    Kargapolov, I. Y., Okhotnikov, N. V., Shalimova, I. A., Sosedkin, A. P. & Lotov, K. V., 2025, In: Physics of Plasmas. 32, 2, 023905.

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

  8. Моделирование поляризованного сигнала лазерной навигационной системы методом Монте-Карло

    Каблукова, Е. Г., Ошлаков, В. Г. & Пригарин, С. М., 2025, In: Оптика атмосферы и океана. 38, 1 (432), p. 47-55 9 p., 7.

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

  9. Решение методом конечных элементов краевой задачи для эллиптического уравнения с дельта-функцией Дирака в правой части

    Романов, Д. Н. & Урев, М. В., 2025, In: Сибирский журнал вычислительной математики. 28, 4, p. 377-389

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

  10. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2025, Москва: Юрайт. 321 p. (Высшее образование)

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

  11. Статистическое моделирование многомерных гауссовских распределений

    Пригарин, С. М., 2025, Москва: Юрайт. 83 p. (Высшее образование)

    Research output: Book/Report › Book › Education › peer-review

  12. Численные методы. Алгоритмы моделирования систем со случайной структурой

    Аверина, Т. А., 2025, Москва: Юрайт. 156 p. (Высшее образование)

    Research output: Book/Report › Book › Education › peer-review

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

    Аверина, Т. А., 2025, Москва: Юрайт. 179 p. (Высшее образование)

    Research output: Book/Report › Book › Education › peer-review

  14. 2024

  15. Онтологии в моделировании и анализе больших генетических данных

    Podkolodnyy, N. L., Podkolodnaya, O. A., Ivanisenko, V. A. & Marchenko, M. A., Dec 2024, In: Vavilovskii Zhurnal Genetiki i Selektsii. 28, 8, p. 940-949 10 p.

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

  16. 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

  17. Monte Carlo simulation of polarized lidar returns for atmospheric clouds sensing

    Prigarin, S. M., Kablukova, E. G. & Zhang, X., 1 Jun 2024, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 39, 3, p. 131-141 11 p.

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

  18. An Approximate Algorithm for Simulating Stationary Discrete Random Processes with Bivariate Distributions of Their Consecutive Components in the Form of Mixtures of Gaussian Distributions

    Ogorodnikov, V. A., Akenteva, M. S. & Kargapolova, N. A., Jun 2024, In: Numerical Analysis and Applications. 17, 2, p. 169-173 5 p.

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

  19. Efficiently Realized Approximate Models of Random Functions in Stochastic Problems of the Theory of Particle Transfer

    Mikhailov, G. A., Lotova, G. Z. & Medvedev, I. N., Jun 2024, In: Numerical Analysis and Applications. 17, 2, p. 152-168 17 p.

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

  20. Monte Carlo Method for Numerical Simulation of Solar Energy Radiation Transfer in Crystal Clouds

    Kargin, B. A., Kablukova, E. G., Mu, Q. & Prigarin, S. M., Jun 2024, In: Numerical Analysis and Applications. 17, 2, p. 140-151 12 p.

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

  21. Monte Carlo Simulation of Wide-Angle Lidar Signals

    Prigarin, S. M. & Mironova, D. E., Jun 2024, In: Numerical Analysis and Applications. 17, 2, p. 188-195 8 p.

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

  22. Rosenbrock-Type Methods for Solving Stochastic Differential Equations

    Averina, T. A. & Rybakov, K. A., Jun 2024, In: Numerical Analysis and Applications. 17, 2, p. 99-115 17 p.

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

  23. Study and Optimization of N-Particle Numerical Statistical Algorithm for Solving the Boltzmann Equation

    Lotova, G. Z., Mikhailov, G. A. & Rogasinsky, S. V., May 2024, In: Computational Mathematics and Mathematical Physics. 64, 5, p. 1065-1075 11 p.

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

  24. Numerical Simulation of the Time Series of Bioclimatic Indices in the Russian Arctic Based on a Stochastic Weather Generator

    Akenteva, M. S. & Kargapolova, N. A., Mar 2024, In: Russian Meteorology and Hydrology. 49, 3, p. 230-239 10 p.

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

  25. Conditional Optimization of Algorithms for Estimating Distributions of Solutions to Stochastic Differential Equations

    Averina, T., Feb 2024, In: Mathematics. 12, 4, 586.

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

  26. New Computer Efficient Approximations of Random Functions for Solving Stochastic Transport Problems

    Mikhailov, G. A. & Medvedev, I. N., Feb 2024, In: Computational Mathematics and Mathematical Physics. 64, 2, p. 314-325 12 p.

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

  27. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2024, Москва: Юрайт. 323 p. (Высшее образование)

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

  28. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2024, Москва: Юрайт. 323 p. (Высшее образование)

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

  29. Статистическое моделирование многомерных гауссовских распределений

    Пригарин, С. М., 2024, Москва: Юрайт. 83 p. (Высшее образование)

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

  30. Численные методы. Алгоритмы моделирования систем со случайной структурой

    Аверина, Т. А., 2024, Москва: Юрайт. 156 p. (Высшее образование)

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

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

    Аверина, Т. А., 2024, Москва: Юрайт. 179 p. (Высшее образование)

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

  32. Численный анализ стохастических дифференциальных уравнений с пуассоновской составляющей

    Аверина, Т. А. & Исакова, С. В. (ed.), 2024, Новосибирск: ИПЦ НГУ. 98 p.

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

  33. 2023

  34. Stochastic simulation of electron transport in a strong electrical field in low-dimensional heterostructures

    Kablukova, E., Sabelfeld, K. K., Protasov, D. & Zhuravlev, K., 1 Dec 2023, In: Monte Carlo Methods and Applications. 29, 4, p. 307-322 16 p.

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

  35. An Approximate Iterative Algorithm for Modeling of Non-Gaussian Vectors with Given Marginal Distributions and Covariance Matrix

    Akenteva, M. S., Kargapolova, N. A. & Ogorodnikov, V. A., Dec 2023, In: Numerical Analysis and Applications. 16, 4, p. 289-298 10 p.

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

  36. Investigation of Overexponential Growth of Mean Particle Flux with Multiplication in Random Medium

    Lotova, G. Z. & Mikhailov, G. A., Dec 2023, In: Numerical Analysis and Applications. 16, 4, p. 337-347 11 p.

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

  37. Numerical-Statistical Investigation of Superexponential Growth of Mean Particle Flow with Multiplication in a Homogeneous Random Medium

    Михайлов, Г. А. & Лотова, Г. З., Dec 2023, In: Doklady Mathematics. 108, 3, p. 519-523 5 p.

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

  38. Особенности расчета многофазного трения на основе моделей, реализованных в программном комплексе «d-Flow»

    Матрошилов, Н. О., Крылов, А. М., Козлов, М. Г., Лыхин, П. А., Усов, Э. В., Тайлаков, Д. О. & Ульянов, В. Н., Dec 2023, In: Известия высших учебных заведений. Нефть и газ. 6 (162), p. 47-64 18 p., 4.

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

  39. A Difference Method for Calculating the Heat Flux on an Inaccessible Boundary in a Heat Conduction Problem

    Sorokin, S. B., Sept 2023, In: Journal of Applied and Industrial Mathematics. 17, 3, p. 651-663 13 p.

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

  40. Monte Carlo Simulation of Laser Navigation System Signals

    Kablukova, E. G., Oshlakov, V. G. & Prigarin, S. M., Sept 2023, In: Numerical Analysis and Applications. 16, 3, p. 208-215 8 p.

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

  41. Study of Superexponential Growth of the Mean Particle Flux by Monte Carlo Method

    Lotova, G. Z. & Mikhailov, G. A., Sept 2023, In: Numerical Analysis and Applications. 16, 3, p. 229-235 7 p.

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

  42. Development of a Stochastic Weather Generator for Simulating Meteorological Time Series in the Arctic Zone of the Russian Federation

    Akenteva, M. S. & Kargapolova, N. A., Jul 2023, In: Russian Meteorology and Hydrology. 48, 7, p. 614-623 10 p.

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

  43. Parallel implementations of randomized vector algorithm for solving large systems of linear equations

    Sabelfeld, K. K., Kireev, S. & Kireeva, A., Jul 2023, In: Journal of Supercomputing. 79, p. 10555-10569 15 p.

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

  44. 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 journal › Article › peer-review

  45. Stochastic simulation of a signal on a photodetector matrix of a laser navigation system

    Kablukova, E. G., Oshlakov, V. G. & Prigarin, S. M., 1 Feb 2023, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 38, 1, p. 13-21 9 p.

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

  46. Testing the INSIM-FT Proxy Simulation Method

    Ovsepian, M., Lys, E., Cheremisin, A., Frolov, S., Kurmangaliev, R., Usov, E., Ulyanov, V., Tailakov, D. & Kayurov, N., Feb 2023, In: Energies. 16, 4, 1648.

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

  47. The fractional composition calculation of two-component mixtures using direct and scattered X-rays: a new methodology testing

    Badazhkov, D., Usov, E., Tyazhev, A., Serdyuk, D., Tailakov, D., Ulyanov, V., Vinnik, A., Skakunov, M., Shaymerdenova, L., Tolbanov, O., Mashnin, A., Spirin, A., Stenin, V. & Alekseev, I., 1 Jan 2023, In: Journal of Instrumentation. 18, 1, P01042.

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

  48. Development of Virtual Flow-Meter Concept Techniques for Ground Infrastructure Management

    Vylegzhanin, R., Cheremisin, A., Kolchanov, B., Lykhin, P., Kurmangaliev, R., Kozlov, M., Usov, E. & Ulyanov, V., Jan 2023, In: Energies. 16, 1, 400.

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

  49. Monte Carlo simulation of laser pulse scattering in crystal clouds

    Prigarin, S. M. & Mironova, D. E., 2023, Proceedings of SPIE - The International Society for Optical Engineering. The International Society for Optical Engineering, Vol. 12780. 7 p. 1278011

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

  50. Monte Carlo study of lidar returns depending on the cloud optical depth

    Kablukova, E. G. & Prigarin, S. M., 2023, Proceedings of SPIE - The International Society for Optical Engineering. The International Society for Optical Engineering, Vol. 12780. 7 p. 127801A

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

  51. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2023, Москва: Юрайт. 323 p. (Высшее образование)

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

  52. Численное статистическое моделирование процесса переноса оптической радиации в случайных кристаллических средах

    Kargin, B. A., Mu, Q. & Kablukova, E. G., 2023, In: Siberian Electronic Mathematical Reports. 20, 1, p. 486-500 15 p.

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

  53. 2022

  54. Estimation of the average particle flux in a stochastically homogeneous medium by Monte Carlo method

    Lotova, G. Z. & Mikhailov, G. A., 1 Dec 2022, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 37, 6, p. 363-371 9 p.

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

  55. Stochastic Simulation Algorithms for Solving Transient Anisotropic Diffusion-recombination Equations and Application to Cathodoluminescence Imaging

    Sabelfeld, K. K. & Kireeva, A. E., 1 Dec 2022, In: Methodology and Computing in Applied Probability. 24, p. 3029-3048 20 p.

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

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ID: 3086447