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  1. 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

  2. Correlation structure of the piecewise linear process on the poisson flow

    Ogorodnikov, V. A. & Sereseva, O. V., 1 Jan 2017, 4th International Workshop Applied Methods of Statistical Analysis Nonparametric Methods in Cybernetics and System Analysis, AMSA 2017. Новосибирский государственный технический университет, p. 292-297 6 p.

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

  3. Convergence of Numerical Spectral Models of Sea Surface Undulations

    Litvenko, K. V. & Prigarin, S. M., 25 Feb 2020, In: Numerical Analysis and Applications. 13, 1, p. 45-56 12 p.

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

  4. Construction of Effective Randomized Projective Estimates for Solutions of Integral Equations Based on Legendre Polynomials

    Mikhailov, G. A., Korda, A. S. & Rogasinsky, S. V., 2022, In: Doklady Mathematics. 106, 3, p. 475-478 4 p.

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

  5. Construction and optimization of numerically-statistical projection algorithms for solving integral equations

    Korda, A. S., Mikhailov, G. A. & Rogasinsky, S. V., 1 Aug 2022, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 37, 4, p. 213-219 7 p.

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

  6. Constructing a numerically statistical model of a homogeneous random field with a given distribution of the integral over one of the phase coordinates

    Mikhailov, G. A., Kablukova, E. G., Ogorodnikov, V. A. & Prigarin, S. M., Nov 2019, In: Doklady Mathematics. 100, 3, p. 529-532 4 p.

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

  7. Conjugate Direction Methods for Parallel Deflation

    Gurieva, Y. & Il’in, V., 2021, Parallel Computational Technologies - 15th International Conference, PCT 2021, Revised Selected Papers. Sokolinsky, L. & Zymbler, M. (eds.). Springer, p. 194-207 14 p. (Communications in Computer and Information Science; vol. 1437).

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

  8. Conjugate Direction Methods for Multiple Solution of Slaes

    Gurieva, Y. L. & Il’in, V. P., Jun 2021, In: Journal of Mathematical Sciences (United States). 255, 3, p. 231-241 11 p.

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

  9. Conditional stochastic model of daily precipitation and river flow joint spatial field

    Kargapolova, N. A. & Ogorodnikov, V. A., 1 Jan 2017, 4th International Workshop Applied Methods of Statistical Analysis Nonparametric Methods in Cybernetics and System Analysis, AMSA 2017. Новосибирский государственный технический университет, p. 298-302 5 p.

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

  10. 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

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