1. 2017
  2. Parametric analysis of the oscillatory solutions to stochastic differential equations with the Wiener and Poisson components by the Monte Carlo method

    Artem’ev, S. S. & Yakunin, M. A., 1 Apr 2017, In: Journal of Applied and Industrial Mathematics. 11, 2, p. 157-167 11 p.

    Research output: Contribution to journalArticlepeer-review

  3. A new approach to constructing vector splitting schemes in mixed finite element method for parabolic problems

    Voronin, K. & Laevsky, Y., 1 Mar 2017, In: Journal of Numerical Mathematics. 25, 1, p. 17-34 18 p.

    Research output: Contribution to journalArticlepeer-review

  4. Short Proof of Formula for Composed Layer

    Antyufeev, V. S., 1 Mar 2017, In: Journal of Mathematical Sciences (United States). 221, 6, p. 772-777 6 p.

    Research output: Contribution to journalArticlepeer-review

  5. A mesh free floating random walk method for solving diffusion imaging problems

    Sabelfeld, K. K., 1 Feb 2017, In: Statistics and Probability Letters. 121, p. 6-11 6 p.

    Research output: Contribution to journalArticlepeer-review

  6. 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 proceedingConference contributionResearchpeer-review

  7. 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 proceedingConference contributionResearchpeer-review

  8. Deflated Krylov iterations in domain decomposition methods

    Gurieva, Y. L., Ilin, V. P. & Perevozkin, D. V., 1 Jan 2017, Domain Decomposition Methods in Science and Engineering XXIII. Lee, CO., Cai, XC., Keyes, DE., Kim, HH., Klawonn, A., Park, EJ. & Widlund, OB. (eds.). Springer, p. 345-352 8 p. (Lecture Notes in Computational Science and Engineering; vol. 116).

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

  9. Efficient computational approaches for parallel stochastic simulation on supercomputers

    Marchenko, M. A., 1 Jan 2017, Mathematical Research Summaries. Nova Science Publishers, Inc., Vol. 2. 1 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

  10. Monte-Carlo simulation of daily precipitation and river flow conditional spatio-temporal fields

    Kargapolova, N. A., 1 Jan 2017, 31st Annual European Simulation and Modelling Conference 2017, ESM 2017. EUROSIS, p. 295-300 6 p.

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

  11. Monte Carlo simulation of halos, glories, coronas and multiple scattering of light

    Prigarin, S. M., Kablukova, E. G., Rozhenko, S. A. & Zakovryashin, A. V., 1 Jan 2017, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Matvienko, GG. & Romanovskii, OA. (eds.). The International Society for Optical Engineering, Vol. 10466. p. 156 5 p. 104661K. (Proceedings of SPIE; vol. 10466).

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

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