Determination of the coefficients of nonlinear ordinary differential equations systems using additional statistical information

Authors

  • S. I. Kabanikhin Institute of Computational Mathematics and Mathematical Geophysics of SB RAS, Novosibirsk, Russian
  • M. Bektemessov Abai Kazakh National Pedagogical University, Almaty, Kazakhstan
  • O. I. Krivorotko Institute of Computational Mathematics and Mathematical Geophysics of SB RAS, Novosibirsk, Russian
  • Zh. M. Bektemessov al-Farabi Kazakh National University, Almaty, Kazakhstan

DOI:

https://doi.org/10.26577/ijmph-2019-i1-5
        100 98

Abstract

Abstract. The study of the clinical and epidemiological features of tuberculosis combined with HIV infection (TB + HIV) is one of the priorities in the prevention of infectious diseases and is necessary to improve the quality of medical care for patients. So this article is devoted to the mathematical model of epidemiology, its’ investigation and analysis. The previous works showed what identifiability analysis is and considered methods of performing them, such as orthogonal method, eigenvalue method and etc., for more precise clarification of model parameters. However, the choice of solving the inverse problem to restore unknown parameters is playing a huge role. So here was showed the combination of two numerical algorithms, as stochastic method of simulating annealing to determine the region of the global minimum and gradient method to determine the inverse problem in a region, of solving the inverse problem that will help to create effective treatment plan for the elimination and treatment of the disease.

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How to Cite

Kabanikhin, S. I., Bektemessov, M., Krivorotko, O. I., & Bektemessov, Z. M. (2019). Determination of the coefficients of nonlinear ordinary differential equations systems using additional statistical information. International Journal of Mathematics and Physics, 10(1), 36–42. https://doi.org/10.26577/ijmph-2019-i1-5

Issue

Vol. 10 No. 1 (2019): International Journal of Mathematics and Physics

Section

MATHEMATICS

License

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