1. Анализ идентифицируемости математических моделей иммунологии и эпидемиологии

    Андорная, Д., Криворотько, О. И. & Кабанихин, С. И., 10 Sept 2019, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2019661851, Priority date 28 Aug 2019, Priority No. 2019660564

    Research output: PatentSoftware registration

  2. Автоматизированная программа для прогнозирования распространения COVID-19 в регионах Российской Федерации на основе усвоения данных в модели SEIR-HCD

    Зятьков, Н. Ю., Криворотько, О. И. & Неверов, А. В., 27 Jul 2022, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2022664244, Priority date 7 Jul 2022, Priority No. 2022662856

    Research output: PatentSoftware registration

  3. Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry

    Penenko, A., Antokhin, P. & Grishina, A., 1 Jan 2017, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Matvienko, GG. & Romanovskii, OA. (eds.). SPIE, Vol. 10466. 5 p. 1046674. (Proceedings of SPIE; vol. 10466).

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

  4. The numerical modelling of MHD astrophysical flows with chemistry

    Kulikov, I., Chernykh, I. & Protasov, V., 22 Oct 2017, In: Journal of Physics: Conference Series. 894, 1, 6 p., 012132.

    Research output: Contribution to journalConference articlepeer-review

  5. Simulation of spread and transformation of emissions from Norilsk industrial zone with the WRF-CHEM model: Comparison with experimental data of airborne sensing

    Antokhin, P. N., Antokhina, O. Y., Belan, B. D., Simonenkov, D. V., Penenko, A. V., Kolker, A. B. & Gochakov, A. V., 1 Jan 2017, 23RD INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: ATMOSPHERIC PHYSICS: Atmospheric Physics. Matvienko, GG. & Romanovskii, OA. (eds.). SPIE, Vol. 10466. 4 p. 104665S. (Proceedings of SPIE; vol. 10466).

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

  6. 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 journalArticlepeer-review

  7. 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-Verlag GmbH and Co. KG, 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 proceedingConference contributionResearchpeer-review

  8. Sensitivity analysis and practical identifiability of the mathematical model for partial differential equations

    Krivorotko, O. & Andornaya, D., 20 Dec 2021, In: Journal of Physics: Conference Series. 2092, 1, 012012.

    Research output: Contribution to journalConference articlepeer-review

  9. Sensitivity Analysis and Practical Identifiability of Some Mathematical Models in Biology

    Krivorotko, O. I., Andornaya, D. V. & Kabanikhin, S. I., 20 Mar 2020, In: Journal of Applied and Industrial Mathematics. 14, 1, p. 115-130 16 p., 12.

    Research output: Contribution to journalArticlepeer-review

  10. Recovering a Time-Dependent Diffusion Coefficient from Nonlocal Data

    Kabanikhin, S. I. & Shishlenin, M. A., 1 Jan 2018, In: Numerical Analysis and Applications. 11, 1, p. 38-44 7 p.

    Research output: Contribution to journalArticlepeer-review

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