An Efficient Numerical Simulation of a Reaction-Diffusion Malaria Infection Model using B-splines Collocation
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DOI: 10.1016/j.chaos.2020.110566
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- Elaiw, A.M. & Hobiny, A.D. & Al Agha, A.D., 2020. "Global dynamics of reaction-diffusion oncolytic M1 virotherapy with immune response," Applied Mathematics and Computation, Elsevier, vol. 367(C).
- Chen, Hongyan & Wang, Wendi & Fu, Rui & Luo, Jianfeng, 2015. "Global analysis of a mathematical model on malaria with competitive strains and immune responses," Applied Mathematics and Computation, Elsevier, vol. 259(C), pages 132-152.
- Ashrafi Niger & Abba Gumel, 2011. "Immune Response and Imperfect Vaccine in Malaria Dynamics," Mathematical Population Studies, Taylor & Francis Journals, vol. 18(2), pages 55-86.
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Cited by:
- Samad Noeiaghdam & Aliona Dreglea & Hüseyin Işık & Muhammad Suleman, 2021. "A Comparative Study between Discrete Stochastic Arithmetic and Floating-Point Arithmetic to Validate the Results of Fractional Order Model of Malaria Infection," Mathematics, MDPI, vol. 9(12), pages 1-17, June.
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Keywords
Malaria; Reaction-Diffusion model; Cubic B-splines; basis functions; Tri-diagonal matrix; Runge-Kutta (RK4) method;All these keywords.
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