Identification of mathematical model of bacteria population under the antibiotic influence
Serovajsky S. Nurseitov D. Kabanikhin S. Azimov A. Ilin A. Islamov R.
2021De Gruyter Open Ltd
Journal of Inverse and Ill-Posed Problems
2021#26Issue 5565 - 576 pp.
This work is devoted to the identification of a mathematical model of bacteria population under the antibiotic influence, based on the solution of the corresponding inverse problems. These problems are solved by the gradient method, genetic algorithm and Nelder-Mead method. Calculations are made using model and real data.
Antibiotic resistance , Gradient method , Inverse problem
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Al-Farabi Kazakh National University, al-Farabi Ave. 71, Almaty, 050040, Kazakhstan
National Open Research Laboratory for Information and Space Technologies, Satbayev University, Satpayev Str. 22a, Almaty, 050013, Kazakhstan
Institute of Computational Mathematics and Mathematical Geophysics, SB, RAS, Akademika Lavrentjeva Ave. 6, Novosibirsk, 630090, Russian Federation
Scientific Center of Anti-infectious Drugs, al-Farabi Ave. 75V, Almaty, 050060, Kazakhstan
Al-Farabi Kazakh National University
National Open Research Laboratory for Information and Space Technologies
Institute of Computational Mathematics and Mathematical Geophysics
Scientific Center of Anti-infectious Drugs
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