Numerical study for fractional model of non-linear predator-prey biological population dynamical system

The key objective of the present paper is to propose a numerical scheme based on the homotopy analysis transform technique to analyze a time-fractional non-linear predator-prey population model. The population model are coupled fractional order non-linear PDE often employed to narrate the dynamics o...

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Main Authors: Singh, Jagdev, Kilicman, Adem, Kumar, Devendra, Swroop, Ram, Md Ali, Fadzilah
Format: Article
Language:English
Published: Vinca Inst Nuclear Sci 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81503/
http://psasir.upm.edu.my/id/eprint/81503/1/LINEAR.pdf
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author Singh, Jagdev
Kilicman, Adem
Kumar, Devendra
Swroop, Ram
Md Ali, Fadzilah
author_facet Singh, Jagdev
Kilicman, Adem
Kumar, Devendra
Swroop, Ram
Md Ali, Fadzilah
author_sort Singh, Jagdev
building UPM Institutional Repository
collection Online Access
description The key objective of the present paper is to propose a numerical scheme based on the homotopy analysis transform technique to analyze a time-fractional non-linear predator-prey population model. The population model are coupled fractional order non-linear PDE often employed to narrate the dynamics of biological systems in which two species interact, first is a predator and the second is a prey. The proposed scheme provides the series solution with a great freedom and flexibility by choosing appropriate parameters. The convergence of the results is free from small or large parameters. Three examples are discussed to demonstrate the correctness and efficiency of the used computational approach.
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publisher Vinca Inst Nuclear Sci
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spelling upm-815032021-06-12T16:15:34Z http://psasir.upm.edu.my/id/eprint/81503/ Numerical study for fractional model of non-linear predator-prey biological population dynamical system Singh, Jagdev Kilicman, Adem Kumar, Devendra Swroop, Ram Md Ali, Fadzilah The key objective of the present paper is to propose a numerical scheme based on the homotopy analysis transform technique to analyze a time-fractional non-linear predator-prey population model. The population model are coupled fractional order non-linear PDE often employed to narrate the dynamics of biological systems in which two species interact, first is a predator and the second is a prey. The proposed scheme provides the series solution with a great freedom and flexibility by choosing appropriate parameters. The convergence of the results is free from small or large parameters. Three examples are discussed to demonstrate the correctness and efficiency of the used computational approach. Vinca Inst Nuclear Sci 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81503/1/LINEAR.pdf Singh, Jagdev and Kilicman, Adem and Kumar, Devendra and Swroop, Ram and Md Ali, Fadzilah (2019) Numerical study for fractional model of non-linear predator-prey biological population dynamical system. Thermal Science, 23 (suppl. 6). pp. 2017-2025. ISSN 0354-9836 http://www.doiserbia.nb.rs/Article.aspx?id=0354-98361900366S#.YMTbkfkzZPY 10.2298/TSCI190725366S
spellingShingle Singh, Jagdev
Kilicman, Adem
Kumar, Devendra
Swroop, Ram
Md Ali, Fadzilah
Numerical study for fractional model of non-linear predator-prey biological population dynamical system
title Numerical study for fractional model of non-linear predator-prey biological population dynamical system
title_full Numerical study for fractional model of non-linear predator-prey biological population dynamical system
title_fullStr Numerical study for fractional model of non-linear predator-prey biological population dynamical system
title_full_unstemmed Numerical study for fractional model of non-linear predator-prey biological population dynamical system
title_short Numerical study for fractional model of non-linear predator-prey biological population dynamical system
title_sort numerical study for fractional model of non-linear predator-prey biological population dynamical system
url http://psasir.upm.edu.my/id/eprint/81503/
http://psasir.upm.edu.my/id/eprint/81503/
http://psasir.upm.edu.my/id/eprint/81503/
http://psasir.upm.edu.my/id/eprint/81503/1/LINEAR.pdf