Rohul Amin1, Şuayip Yüzbası2,*, Shah Nazir3
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.2, pp. 639-653, 2022, DOI:10.32604/cmes.2022.019154
Abstract In this paper, Haar collocation algorithm is developed for the solution of first-order of HIV infection CD4+ T-Cells
model. In this technique, the derivative in the nonlinear model is approximated by utilizing Haar functions. The
value of the unknown function is obtained by the process of integration. Error estimation is also discussed, which
aims to reduce the error of numerical solutions. The numerical results show that the method is simply applicable.
The results are compared with Runge-Kutta technique, Bessel collocation technique, LADM-Pade and Galerkin
technique available in the literature. The results show that the Haar technique is easy, precise and… More >
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