Dynamics of the Hantavirus infection through variational iteration method
This paper studies the dynamics of the Hantavirus infection model, which was originally developed by Abramson and Kenkre [G. Abramson, V.M. Kenkre, Spatiotemporal patterns in the hantavirus infection, Phys. Rev. E 66 (2002) 011912], by using a simple analytical method called the variational iteratio...
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my.uniten.dspace-309372023-12-29T15:56:12Z Dynamics of the Hantavirus infection through variational iteration method Goh S.M. Ismail A.I.M. Noorani M.S.M. Hashim I. 25521891600 27172423000 6603683028 10043682500 Fourth-order Runge-Kutta method Hantavirus infection model Variational iteration method Dynamics Oscillators (mechanical) Particle size analysis Runge Kutta methods Analytical methods Fourth orders Fourth-order Runge-Kutta method Hantavirus infection model Numerical values Spatio-temporal patterns Variational iteration method Iterative methods This paper studies the dynamics of the Hantavirus infection model, which was originally developed by Abramson and Kenkre [G. Abramson, V.M. Kenkre, Spatiotemporal patterns in the hantavirus infection, Phys. Rev. E 66 (2002) 011912], by using a simple analytical method called the variational iteration method or VIM. The results obtained by the variational iteration method are compared with the classical Runge-Kutta method (fourth-order) to gauge its effectiveness. Numerical values from these analyses provide us with some useful observation on the behaviour of the infection subjected to certain conditions. � 2008 Elsevier Ltd. All rights reserved. Final 2023-12-29T07:56:12Z 2023-12-29T07:56:12Z 2009 Article 10.1016/j.nonrwa.2008.03.025 2-s2.0-61749098900 https://www.scopus.com/inward/record.uri?eid=2-s2.0-61749098900&doi=10.1016%2fj.nonrwa.2008.03.025&partnerID=40&md5=37dc946f7a407e6311135ab0fdadee64 https://irepository.uniten.edu.my/handle/123456789/30937 10 4 2171 2176 Scopus |
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Fourth-order Runge-Kutta method Hantavirus infection model Variational iteration method Dynamics Oscillators (mechanical) Particle size analysis Runge Kutta methods Analytical methods Fourth orders Fourth-order Runge-Kutta method Hantavirus infection model Numerical values Spatio-temporal patterns Variational iteration method Iterative methods |
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Fourth-order Runge-Kutta method Hantavirus infection model Variational iteration method Dynamics Oscillators (mechanical) Particle size analysis Runge Kutta methods Analytical methods Fourth orders Fourth-order Runge-Kutta method Hantavirus infection model Numerical values Spatio-temporal patterns Variational iteration method Iterative methods Goh S.M. Ismail A.I.M. Noorani M.S.M. Hashim I. Dynamics of the Hantavirus infection through variational iteration method |
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This paper studies the dynamics of the Hantavirus infection model, which was originally developed by Abramson and Kenkre [G. Abramson, V.M. Kenkre, Spatiotemporal patterns in the hantavirus infection, Phys. Rev. E 66 (2002) 011912], by using a simple analytical method called the variational iteration method or VIM. The results obtained by the variational iteration method are compared with the classical Runge-Kutta method (fourth-order) to gauge its effectiveness. Numerical values from these analyses provide us with some useful observation on the behaviour of the infection subjected to certain conditions. � 2008 Elsevier Ltd. All rights reserved. |
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25521891600 |
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25521891600 Goh S.M. Ismail A.I.M. Noorani M.S.M. Hashim I. |
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Article |
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Goh S.M. Ismail A.I.M. Noorani M.S.M. Hashim I. |
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Goh S.M. |
title |
Dynamics of the Hantavirus infection through variational iteration method |
title_short |
Dynamics of the Hantavirus infection through variational iteration method |
title_full |
Dynamics of the Hantavirus infection through variational iteration method |
title_fullStr |
Dynamics of the Hantavirus infection through variational iteration method |
title_full_unstemmed |
Dynamics of the Hantavirus infection through variational iteration method |
title_sort |
dynamics of the hantavirus infection through variational iteration method |
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2023 |
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1806427399318929408 |
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13.222552 |