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  1. A combined numerical algorithm for reconstructing the mathematical model for tuberculosis transmission with control programs

    Kabanikhin, S., Krivorotko, O. & Kashtanova, V., 1 Feb 2018, In: Eurasian Journal of Mathematical and Computer Applications. 26, 1, p. 121-131 11 p.

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

  2. Agent-based mathematical model of COVID-19 spread in Novosibirsk region: Identifiability, optimization and forecasting

    Krivorotko, O., Sosnovskaia, M. & Kabanikhin, S., 1 Jun 2023, In: Journal of Inverse and Ill-Posed Problems. 31, 3, p. 409-425 17 p.

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

  3. Agent-based modeling of COVID-19 outbreaks for New York state and UK: Parameter identification algorithm

    Krivorotko, O., Sosnovskaia, M., Vashchenko, I., Kerr, C. & Lesnic, D., Mar 2022, In: Infectious Disease Modelling. 7, 1, p. 30-44 15 p.

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

  4. An Algorithm for Source Reconstruction in Nonlinear Shallow-Water Equations

    Kabanikhin, S. I. & Krivorotko, O. I., Aug 2018, In: Computational Mathematics and Mathematical Physics. 58, 8, p. 1334-1343 10 p.

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

  5. A parameter identification problem for the mathematical model of HIV dynamics

    Kabanikhin, S., Krivorotko, O. & Yermolenko, D., 14 Nov 2017, Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc., p. 82-86 5 p. 8109842

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

  6. Comparative Analysis of Gradient Methods for Source Identification in a Diffusion-Logistic Model

    Zvonareva, T. A. & Krivorot’ko, O. I., Apr 2022, In: Computational Mathematics and Mathematical Physics. 62, 4, p. 674-684 11 p.

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

  7. Data-driven regularization of inverse problem for SEIR-HCD model of COVID-19 propagation in Novosibirsk region

    Krivorotko, O. & Zyatkov, N. Y., 2022, In: Eurasian Journal of Mathematical and Computer Applications. 10, 1, p. 51-68 18 p.

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

  8. Differential evolution algorithm of solving an inverse problem for the spatial Solow mathematical model

    Kabanikhin, S., Krivorotko, O., Bektemessov, Z., Bektemessov, M. & Zhang, S., 1 Oct 2020, In: Journal of Inverse and Ill-Posed Problems. 28, 5, p. 761-774 14 p.

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

  9. Forecasting Recessions in the US Economy Using Machine Learning Methods

    Zyatkov, N. & Krivorotko, O., 2021, Proceedings - 2021 17th International Asian School-Seminar "Optimization Problems of Complex Systems", OPCS 2021. Institute of Electrical and Electronics Engineers Inc., p. 139-146 8 p. (Proceedings - 2021 17th International Asian School-Seminar "Optimization Problems of Complex Systems", OPCS 2021).

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

  10. Geo-information system of tuberculosis spread based on inversion and prediction

    Kabanikhin, S., Krivorotko, O., Takuadina, A., Andornaya, D. & Zhang, S., 1 Feb 2021, In: Journal of Inverse and Ill-Posed Problems. 29, 1, p. 65-79 15 p.

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

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