Numerical approximation of modified non-linear SIR model of computer viruses

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1. Verfasser: Noeiaghdam, Samad
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Veröffentlicht: 2019
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author Noeiaghdam, Samad
author_facet Noeiaghdam, Samad
contents In this paper, the non-linear modified epidemiological model of computer viruses is illustrated. For this aim, two semi-analytical methods, the differential transform method (DTM) and the Laplace-Adomian decomposition method (LADM) are applied. The numerical results are estimated for different values of iterations and compared to the results of the LADM and the homotopy analysis transform method (HATM). Also, graphs of residual errors and phase portraits of approximate solutions for $n=5,10,15$ are demonstrated. The numerical approximations show the performance of the LADM in comparison to the LADM and the HATM.
format Preprint
id arxiv_https___arxiv_org_abs_1901_10804
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Numerical approximation of modified non-linear SIR model of computer viruses
Noeiaghdam, Samad
Systems and Control
In this paper, the non-linear modified epidemiological model of computer viruses is illustrated. For this aim, two semi-analytical methods, the differential transform method (DTM) and the Laplace-Adomian decomposition method (LADM) are applied. The numerical results are estimated for different values of iterations and compared to the results of the LADM and the homotopy analysis transform method (HATM). Also, graphs of residual errors and phase portraits of approximate solutions for $n=5,10,15$ are demonstrated. The numerical approximations show the performance of the LADM in comparison to the LADM and the HATM.
title Numerical approximation of modified non-linear SIR model of computer viruses
topic Systems and Control
url https://arxiv.org/abs/1901.10804