Nonstandard theta Milstein method for solving stochastic multi-strain tuberculosis model

Abstract In this article, a novel stochastic multi-strain tuberculosis model is presented. Numerical simulations for this model are the main aim of this work. A non-standard theta Milstein method is constructed to study the proposed model, where the proposed method is based on choosing the weight fa...

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Main Authors: Nasser H. Sweilam, Seham M. AL-Mekhlafi
Format: Article
Language:English
Published: SpringerOpen 2020-03-01
Series:Journal of the Egyptian Mathematical Society
Subjects:
Online Access:http://link.springer.com/article/10.1186/s42787-020-00073-9
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spelling doaj-4b8ace810878438390bfc473315c55702020-11-25T01:48:40ZengSpringerOpenJournal of the Egyptian Mathematical Society2090-91282020-03-0128111610.1186/s42787-020-00073-9Nonstandard theta Milstein method for solving stochastic multi-strain tuberculosis modelNasser H. Sweilam0Seham M. AL-Mekhlafi1Department of Mathematics, Faculty of Science, Cairo UniversityDepartment of Mathematics, Faculty of Education, Sana’a UniversityAbstract In this article, a novel stochastic multi-strain tuberculosis model is presented. Numerical simulations for this model are the main aim of this work. A non-standard theta Milstein method is constructed to study the proposed model, where the proposed method is based on choosing the weight factor theta. The main advantage of this method is it can be explicit or implicit with large stability regions using the idea of the weighed step introduced by R.E. Mickens. Mean-square stability of nonstandard theta Milstein method is studied. The new scheme shows a greater behavior compared to the theta Milstein method. It is concluded that the proposed scheme preserves the positivity of the solution and numerical stability in larger region than the standard method.http://link.springer.com/article/10.1186/s42787-020-00073-9A non-standard theta Milstein methodMulti-strain TuberculosisMean square stability analysis
collection DOAJ
language English
format Article
sources DOAJ
author Nasser H. Sweilam
Seham M. AL-Mekhlafi
spellingShingle Nasser H. Sweilam
Seham M. AL-Mekhlafi
Nonstandard theta Milstein method for solving stochastic multi-strain tuberculosis model
Journal of the Egyptian Mathematical Society
A non-standard theta Milstein method
Multi-strain Tuberculosis
Mean square stability analysis
author_facet Nasser H. Sweilam
Seham M. AL-Mekhlafi
author_sort Nasser H. Sweilam
title Nonstandard theta Milstein method for solving stochastic multi-strain tuberculosis model
title_short Nonstandard theta Milstein method for solving stochastic multi-strain tuberculosis model
title_full Nonstandard theta Milstein method for solving stochastic multi-strain tuberculosis model
title_fullStr Nonstandard theta Milstein method for solving stochastic multi-strain tuberculosis model
title_full_unstemmed Nonstandard theta Milstein method for solving stochastic multi-strain tuberculosis model
title_sort nonstandard theta milstein method for solving stochastic multi-strain tuberculosis model
publisher SpringerOpen
series Journal of the Egyptian Mathematical Society
issn 2090-9128
publishDate 2020-03-01
description Abstract In this article, a novel stochastic multi-strain tuberculosis model is presented. Numerical simulations for this model are the main aim of this work. A non-standard theta Milstein method is constructed to study the proposed model, where the proposed method is based on choosing the weight factor theta. The main advantage of this method is it can be explicit or implicit with large stability regions using the idea of the weighed step introduced by R.E. Mickens. Mean-square stability of nonstandard theta Milstein method is studied. The new scheme shows a greater behavior compared to the theta Milstein method. It is concluded that the proposed scheme preserves the positivity of the solution and numerical stability in larger region than the standard method.
topic A non-standard theta Milstein method
Multi-strain Tuberculosis
Mean square stability analysis
url http://link.springer.com/article/10.1186/s42787-020-00073-9
work_keys_str_mv AT nasserhsweilam nonstandardthetamilsteinmethodforsolvingstochasticmultistraintuberculosismodel
AT sehammalmekhlafi nonstandardthetamilsteinmethodforsolvingstochasticmultistraintuberculosismodel
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