Application of Adomian Decomposition Method on a Mathematical Model of malaria.

dc.contributor.authorAbioye, A. I
dc.contributor.authorPeter, O. J
dc.contributor.authorAyoade, A. A
dc.contributor.authorUwaheren, O. A
dc.contributor.authorIbrahim, M. O
dc.date.accessioned2023-09-26T08:17:57Z
dc.date.available2023-09-26T08:17:57Z
dc.date.issued2020
dc.description.abstractIn this paper, we consider a deterministic model of malaria transmission. Adomian decomposition method (ADM) is used to calculate an approximation to the solution of the non-linear couple of differential equations governing the model. Classical fourth-order Runge-Kutta method implemented in Maple18 confirms the validity of the ADM in solving the problem. Graphical results show that ADM agrees with R-K 4. In order words, these produced the same behaviour, validating ADM’s efficiency and accuracy of ADM in finding the malaria model solution.en_US
dc.identifier.citation13en_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11783
dc.language.isoenen_US
dc.publisherunion of researchers of Macedonia.en_US
dc.relation.ispartofseries9;1
dc.subjectwords and phrases. Mathematical model, Relapse rate, Nonlinear forces of infection, Adomian Decomposition Method, Runge-Kutta Method.en_US
dc.titleApplication of Adomian Decomposition Method on a Mathematical Model of malaria.en_US
dc.typeArticleen_US

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