Differential transformation method (DTM) for solving SIS and SI epidemic models

In this paper, the differential transformation method (DTM) is employed to find the semi-analytical solutions of SIS and SI epidemic models for constant population. Firstly, the theoretical background of DTM is studied and followed by constructing the solutions of SIS and SI epidemic models. Further...

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Main Authors: M.Z. Ahmad, D. Alsarayreh, A. Alsarayreh, Qaralleh, I.
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2017
Online Access:http://journalarticle.ukm.my/11561/
http://journalarticle.ukm.my/11561/
http://journalarticle.ukm.my/11561/1/40%20M.Z.%20Ahmad.pdf
id ukm-11561
recordtype eprints
spelling ukm-115612018-04-10T10:16:13Z http://journalarticle.ukm.my/11561/ Differential transformation method (DTM) for solving SIS and SI epidemic models M.Z. Ahmad, D. Alsarayreh, A. Alsarayreh, Qaralleh, I. In this paper, the differential transformation method (DTM) is employed to find the semi-analytical solutions of SIS and SI epidemic models for constant population. Firstly, the theoretical background of DTM is studied and followed by constructing the solutions of SIS and SI epidemic models. Furthermore, the convergence analysis of DTM is proven by proposing two theorems. Finally, numerical computations are made and compared with the exact solutions. From the numerical results, the solutions produced by DTM approach the exact solutions which agreed with the proposed theorems. It can be seen that the DTM is an alternative technique to be considered in solving many practical problems involving differential equations. Penerbit Universiti Kebangsaan Malaysia 2017-10 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/11561/1/40%20M.Z.%20Ahmad.pdf M.Z. Ahmad, and D. Alsarayreh, and A. Alsarayreh, and Qaralleh, I. (2017) Differential transformation method (DTM) for solving SIS and SI epidemic models. Sains Malaysiana, 46 (10). pp. 2007-2017. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol46num10_2017/contentsVol46num10_2017.html
repository_type Digital Repository
institution_category Local University
institution Universiti Kebangasaan Malaysia
building UKM Institutional Repository
collection Online Access
language English
description In this paper, the differential transformation method (DTM) is employed to find the semi-analytical solutions of SIS and SI epidemic models for constant population. Firstly, the theoretical background of DTM is studied and followed by constructing the solutions of SIS and SI epidemic models. Furthermore, the convergence analysis of DTM is proven by proposing two theorems. Finally, numerical computations are made and compared with the exact solutions. From the numerical results, the solutions produced by DTM approach the exact solutions which agreed with the proposed theorems. It can be seen that the DTM is an alternative technique to be considered in solving many practical problems involving differential equations.
format Article
author M.Z. Ahmad,
D. Alsarayreh,
A. Alsarayreh,
Qaralleh, I.
spellingShingle M.Z. Ahmad,
D. Alsarayreh,
A. Alsarayreh,
Qaralleh, I.
Differential transformation method (DTM) for solving SIS and SI epidemic models
author_facet M.Z. Ahmad,
D. Alsarayreh,
A. Alsarayreh,
Qaralleh, I.
author_sort M.Z. Ahmad,
title Differential transformation method (DTM) for solving SIS and SI epidemic models
title_short Differential transformation method (DTM) for solving SIS and SI epidemic models
title_full Differential transformation method (DTM) for solving SIS and SI epidemic models
title_fullStr Differential transformation method (DTM) for solving SIS and SI epidemic models
title_full_unstemmed Differential transformation method (DTM) for solving SIS and SI epidemic models
title_sort differential transformation method (dtm) for solving sis and si epidemic models
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2017
url http://journalarticle.ukm.my/11561/
http://journalarticle.ukm.my/11561/
http://journalarticle.ukm.my/11561/1/40%20M.Z.%20Ahmad.pdf
first_indexed 2023-09-18T20:00:38Z
last_indexed 2023-09-18T20:00:38Z
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