期刊
MATHEMATICS
卷 10, 期 18, 页码 -出版社
MDPI
DOI: 10.3390/math10183299
关键词
epidemic models; numerical methods; elementary stability; positivity
类别
资金
- National Natural Science Foundation of China [71601072]
- Fundamental Research Funds for the Universities of Henan Province [NSFRF210314]
- Innovative Research Team of Henan Polytechnic University [T2022-7]
- National Science, Research and Innovation Fund (NSRF), Thailand
This article proposes two non-standard predictor-corrector type finite difference methods for a SIR epidemic model, with useful and significant features. The methods are compared with classical methods and stability analysis is conducted, along with numerical simulations.
Two non-standard predictor-corrector type finite difference methods for a SIR epidemic model are proposed. The methods have useful and significant features, such as positivity, basic stability, boundedness and preservation of the conservation laws. The proposed schemes are compared with classical fourth order Runge-Kutta and non-standard difference methods (NSFD). The stability analysis is studied and numerical simulations are provided.
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