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Publications in Math-Net.Ru |
Citations |
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2023 |
| 1. |
G. D. Akindinov, V. V. Matyukhin, O. I. Krivorot'ko, “Numerical solving of an inverse problem of a hyperbolic heat equation with small parameter”, Computer Research and Modeling, 15:2 (2023), 245–258  |
| 2. |
O. I. Krivorotko, S. I. Kabanikhin, M. A. Bektemesov, M. I. Sosnovskaya, A. V. Neverov, “Simulation of COVID-19 propagation scenarios in the Republic of Kazakhstan based on regularization of agent model”, Diskretn. Anal. Issled. Oper., 30:1 (2023), 40–66  |
| 3. |
O. I. Krivorot'ko, S. I. Kabanikhin, V. S. Petrakova, “The identifiability of mathematical models in epidemiology: Tuberculosis, HIV, COVID-19”, Mat. Biolog. Bioinform., 18:1 (2023), 177–214 |
| 4. |
O. I. Krivorotko, S. I. Kabanikhin, “On mathematical models of COVID-19 pandemic”, Sib. Èlektron. Mat. Izv., 20:2 (2023), 1211–1268 |
| 5. |
V. S. Petrakova, O. I. Krivorot'ko, “Approaches to the simulation of personal income variations during epidemics”, Russian Journal of Cybernetics, 4:1 (2023), 24–32 |
| 6. |
O. I. Krivorot'ko, N. Yu. Zyatkov, S. I. Kabanikhin, “Modeling epidemics: neural network based on data and SIR-model”, Zh. Vychisl. Mat. Mat. Fiz., 63:10 (2023), 1733–1746  ; Comput. Math. Math. Phys., 63:10 (2023), 1929–1941 |
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| 7. |
T. A. Zvonareva, S. I. Kabanikhin, O. I. Krivorot'ko, “Numerical algorithm for source determination in a diffusion–logistic model from integral data based on tensor optimization”, Zh. Vychisl. Mat. Mat. Fiz., 63:9 (2023), 1513–1523 ; Comput. Math. Math. Phys., 63:9 (2023), 1654–1663 |
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2022 |
| 8. |
T. A. Zvonareva, O. I. Krivorot'ko, “Comparative analysis of gradient methods for source identification in a diffusion-logistic model”, Zh. Vychisl. Mat. Mat. Fiz., 62:4 (2022), 694–704 ; Comput. Math. Math. Phys., 62:4 (2022), 674–684  |
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2020 |
| 9. |
O. I. Krivorotko, D. V. Andornaya, S. I. Kabanikhin, “Sensitivity analysis and practical identifiability of some mathematical models in biology”, Sib. Zh. Ind. Mat., 23:1 (2020), 107–125 ; J. Appl. Industr. Math., 14:1 (2020), 115–130 |
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| 10. |
O. I. Krivorotko, S. I. Kabanikhin, N. Yu. Zyatkov, A. Yu. Prikhodko, N. M. Prokhoshin, M. A. Shishlenin, “Mathematical modeling and forecasting of COVID-19 in
Moscow and Novosibirsk region”, Sib. Zh. Vychisl. Mat., 23:4 (2020), 395–414 ; Num. Anal. Appl., 13:4 (2020), 332–348  |
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| 11. |
S. I. Kabanikhin, O. I. Krivorot'ko, “Mathematical modeling of the Wuhan COVID-2019 epidemic and inverse problems”, Zh. Vychisl. Mat. Mat. Fiz., 60:11 (2020), 1950–1961 ; Comput. Math. Math. Phys., 60:11 (2020), 1889–1899 |
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| 12. |
S. I. Kabanikhin, O. I. Krivorot'ko, “Optimization methods for solving inverse immunology and epidemiology problems”, Zh. Vychisl. Mat. Mat. Fiz., 60:4 (2020), 590–600 ; Comput. Math. Math. Phys., 60:4 (2020), 580–589 |
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2018 |
| 13. |
S. I. Kabanikhin, O. I. Krivorotko, “An algorithm for source reconstruction in nonlinear shallow-water equations”, Zh. Vychisl. Mat. Mat. Fiz., 58:8 (2018), 138–147 ; Comput. Math. Math. Phys., 58:8 (2018), 1334–1343 |
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2017 |
| 14. |
S. I. Kabanikhin, O. I. Krivorot'ko, V. A. Latyshenko, D. V. Yermolenko, V. N. Kashtanova, “Inverse problems of immunology and epidemiology”, Eurasian Journal of Mathematical and Computer Applications, 5:2 (2017), 14–35 |
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2016 |
| 15. |
S. I. Kabanikhin, O. I. Krivorotko, “A numerical algorithm for computing tsunami wave amplitude”, Sib. Zh. Vychisl. Mat., 19:2 (2016), 153–165 ; Num. Anal. Appl., 9:2 (2016), 118–128 |
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2015 |
| 16. |
S. I. Kabanikhin, O. I. Krivorot'ko, D. V. Yermolenko, D. A. Voronov, “Comparison of gradient and simplex methods of the numerical solution of the inverse problem for the simplest model of infectious disease”, Yakutian Mathematical Journal, 22:2 (2015), 72–82 |
| 17. |
V. V. Shcherbakov, O. I. Krivorot'ko, “Optimal shapes of cracks in a viscoelastic body”, Trudy Inst. Mat. i Mekh. UrO RAN, 21:1 (2015), 294–304 |
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2014 |
| 18. |
O. I. Krivorotko, “Optimization approach to combined inverse tsunami problem”, Sib. Èlektron. Mat. Izv., 11 (2014), 121–131 |
| 19. |
O. I. Krivorotko, “Fast algorithm for calculation of the moving tsunami wave height”, Sib. Èlektron. Mat. Izv., 11 (2014), 115–120 |
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| 20. |
S. I. Kabanikhin, O. I. Krivorotko, K. S. Boboev, N. Yu. Zyatkov, “Построение фундаментального решения системы уравнений теории упругости”, Sib. Èlektron. Mat. Izv., 11 (2014), 103–114 |
| 21. |
S. I. Kabanikhin, I. V. Marinin, O. I. Krivorotko, “3D modeling of integrated natural and man-made hazards and source determination problem”, Sib. Èlektron. Mat. Izv., 11 (2014), 76–84 |
| 22. |
A. I. Ilyin, S. I. Kabanikhin, O. I. Krivorotko, “Об определении параметров моделей, описываемых системами нелинейных дифференциальных уравнений”, Sib. Èlektron. Mat. Izv., 11 (2014), 62–76 |
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2013 |
| 23. |
S. I. Kabanikhin, O. I. Krivorotko, “Numerical solution eikonal equation”, Sib. Èlektron. Mat. Izv., 10 (2013), 28–34 |
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| 24. |
S. I. Kabanikhin, O. I. Krivorotko, M. A. Shishlenin, “A numerical method for solving inverse thermoacoustic problem”, Sib. Zh. Vychisl. Mat., 16:1 (2013), 39–44 ; Num. Anal. Appl., 6:1 (2013), 34–39 |
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2012 |
| 25. |
S. I. Kabanikhin, O. I. Krivorot'ko, “A numerical method for solving the Dirichlet problem for the wave equation”, Sib. Zh. Ind. Mat., 15:4 (2012), 90–101 ; J. Appl. Industr. Math., 7:2 (2013), 187–198 |
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| 26. |
S. I. Kabanikhin, O. I. Krivorotko, “Singular value decomposition in the source problem”, Sib. Zh. Vychisl. Mat., 15:2 (2012), 205–211 ; Num. Anal. Appl., 5:2 (2012), 168–174 |
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| Presentations in Math-Net.Ru |
| 1. |
Numerical implementation of an inverse mean field game problem in epidemiology
A. V. Neverov, O. I. Krivorot'ko
The ninth international conference "Quasilinear Equations, Inverse Problems and their Applications" (QIPA 2023)
December 5, 2023 16:30
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| 2. |
Regularization of the information propagation in online social networks based on mean-field theory
T. A. Zvonareva, O. I. Krivorotko
The ninth international conference "Quasilinear Equations, Inverse Problems and their Applications" (QIPA 2023)
December 5, 2023 16:00
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| 3. |
Inverse problem of economic growth model under epidemic conditions and deep learning regularization
O. I. Krivorotko, S. I. Kabanikhin, N. Yu. Zyatkov
The ninth international conference "Quasilinear Equations, Inverse Problems and their Applications" (QIPA 2023)
December 5, 2023 14:00
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| 4. |
Numerical solution to an inverse problem for a hyperbolic heat equation with small parameter
G. D. Akindinov, V. V. Matyukhin, O. I. Krivorotko
The ninth international conference "Quasilinear Equations, Inverse Problems and their Applications" (QIPA 2023)
December 4, 2023 15:25
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| 5. |
Математическое моделирование социально-значимых заболеваний в РФ
O. I. Krivorotko
November 11, 2022 15:25
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| 6. |
Алгоритм построения совмещенных математических моделей эпидемиологии: идентифицируемость и оптимизация
O. I. Krivorot'ko
October 21, 2022 18:40
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| 7. |
Численные алгоритмы построения сценариев распространения инфекционных заболеваний на основе методов машинного обучения и решения обратных задач для моделей эпидемиологии
O. I. Krivorotko
The Fifth International Conference "Supercomputer Technologies of Mathematical Modelling"
June 30, 2022 11:00
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| 8. |
Агентные модели эпидемиологии
O. I. Krivorot'ko
August 13, 2021 15:30
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| 9. |
Математическая модель распространения коронавируса COVID-19 в Российской Федерации
O. I. Krivorot'ko
Actual Problems of Applied Mathematics
April 17, 2020
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| 10. |
Обратная задача для математической модели распространения коронавируса COVID-19 в Российской Федерации
O. I. Krivorot'ko, S. I. Kabanikhin
Actual Problems of Applied Mathematics
April 10, 2020
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