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A numerical algorithm for constructing an individual mathematical model of HIV dynamics at cellular level.
- Source :
- Journal of Inverse & Ill-Posed Problems; Dec2018, Vol. 26 Issue 6, p859-873, 15p
- Publication Year :
- 2018
-
Abstract
- In this paper a problem of specifying HIV-infection parameters and immune response using additional measurements of the concentrations of the T-lymphocytes, the free virus and the immune effectors at fixed times for a mathematical model of HIV dynamics is investigated numerically. The problem of the parameter specifying of the mathematical model (an inverse problem) is reduced to a problem of minimizing an objective function describing the deviation of the simulation results from the experimental data. A genetic algorithm for solving the least squares function minimization problem is implemented and investigated. The results of a numerical solution of the inverse problem are analyzed. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09280219
- Volume :
- 26
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Journal of Inverse & Ill-Posed Problems
- Publication Type :
- Academic Journal
- Accession number :
- 133427626
- Full Text :
- https://doi.org/10.1515/jiip-2018-0019