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  1. Sequential variational data assimilation algorithms at the splitting stages of a numerical atmospheric chemistry model

    Penenko, A., Penenko, V., Tsvetova, E., Grishina, A. & Antokhin, P., 1 Jan 2018, Large-Scale Scientific Computing - 11th International Conference, LSSC 2017, Revised Selected Papers. Lirkov & Margenov, S. (eds.). Springer, p. 536-543 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10665 LNCS).

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

  2. Siberian vegetation cover response to projected future climate change

    Martynova, Y. V. & Krupchatnikov, V. N., 17 Dec 2018, In: IOP Conference Series: Earth and Environmental Science. 211, 1, 012013.

    Research output: Contribution to journal › Conference article › peer-review

  3. Simulation of COVID-19 Spread Scenarios in the Republic of Kazakhstan Based on Regularization of the Agent-Based Model

    Krivorotko, O. I., Kabanikhin, S. I., Bektemesov, M. A., Sosnovskaya, M. I. & Neverov, A. V., Mar 2023, In: Journal of Applied and Industrial Mathematics. 17, 1, p. 94-109 16 p.

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

  4. Simulation of geological faults by discrete elements method

    Lisitsa, V. V., Tcheverda, V. A. & Koluykhin, D. R., 2019, VI INTERNATIONAL CONFERENCE ON PARTICLE-BASED METHODS (PARTICLES 2019): FUNDAMENTALS AND APPLICATIONS. Onate, E., Wriggers, P., Zohdi, T., Bischoff, M. & Owen, DRJ. (eds.). International Center for Numerical Methods in Engineering, p. 400-411 12 p.

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

  5. Sixth-order accurate pseudo-spectral method for solving one-way wave equation

    Pleshkevich, A., Vishnevskiy, D. & Lisitsa, V., 15 Oct 2019, In: Applied Mathematics and Computation. 359, p. 34-51 18 p.

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

  6. SOLVING A TYPE OF NONLINEAR SCHR¨ ODINGER EQUATIONS USING A PHYSICALLY INFORMED NEURAL NETWORK AND TUNING THE ADAPTIVE ACTIVATION FUNCTION

    Liu, S. B., LUAN, Z., Кабанихин, С. И., Стрижак, С. В. & Zhang, Y., 1 Jan 2024, In: Turkic World Mathematical Society (TWMS) Journal of Pure and Applied Mathematics. 15, 2, p. 203-227 15 p.

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

  7. Some Results of Studies in the Area of Numerical Weather Prediction and Climate Theory in Siberia

    Krupchatnikov, N., Platov, G. A., Golubeva, E. N., Fomenko, A. A., Klevtsova, Y. Y. & Lykosov, V. N., 1 Nov 2018, In: Russian Meteorology and Hydrology. 43, 11, p. 713-721 9 p.

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

  8. Source Identification for the Smoluchowski Equation Using an Ensemble of Adjoint Equation Solutions

    Penenko, A. V. & Salimova, A. B., 1 Jun 2020, In: Numerical Analysis and Applications. 13, 2, p. 152-164 13 p.

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

  9. Spectral, Scattering and Dynamics: Gelfand–Levitan–Marchenko–Krein Equations

    Kabanikhin, S., Shishlenin, M., Novikov, N. & Prokhoshin, N., Nov 2023, In: Mathematics. 11, 21, 4458.

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

  10. Statistical analysis of free-surface variability's impact on seismic wavefield

    Lisitsa, V., Kolyukhin, D. & Tcheverda, V., 1 Jan 2019, In: Soil Dynamics and Earthquake Engineering. 116, p. 86-95 10 p.

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

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