A Numerical Comparison for a Discrete HIV Infection of CD4+T-Cell Model Derived from Nonstandard Numerical Scheme
Author(s) -
Mevlüde YAKIT ONGUN,
İlkem Turhan Çetinkaya
Publication year - 2013
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2013/375094
Subject(s) - mathematics , stability (learning theory) , scheme (mathematics) , euler's formula , exponential stability , order (exchange) , numerical analysis , numerical stability , runge–kutta methods , euler method , mathematical analysis , computer science , physics , quantum mechanics , finance , nonlinear system , machine learning , economics
A nonstandard numerical scheme has been constructed and analyzed for a mathematical model that describes HIV infection of CD4+ T cells. This new discrete system has the same stability properties as the continuous model and, particularly, it preserves the same local asymptotic stability properties. Linearized Stability Theory and Schur-Cohn criteria are used for local asymptotic stability of this discrete time model. This proposed nonstandard numerical scheme is compared with the classical explicit Euler and fourth order Runge-Kutta methods. To show the efficiency of this numerical scheme, the simulated results are given in tables and figures
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