An Analytical Investigation of Fractional-Order Biological Model Using an Innovative Technique
In this paper, a new so-called iterative Laplace transform method is implemented to investigate the solution of certain important population models of noninteger order. The iterative procedure is combined effectively with Laplace transformation to develop the suggested methodology. The Caputo operat...
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2020-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/5047054 |
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doaj-52237e722cd74c74b680e12fd37f02412020-11-25T03:26:00ZengHindawi-WileyComplexity1076-27871099-05262020-01-01202010.1155/2020/50470545047054An Analytical Investigation of Fractional-Order Biological Model Using an Innovative TechniqueHassan Khan0Adnan Khan1Maysaa Al Qurashi2Dumitru Baleanu3Rasool Shah4Department of Mathematics, Abdul Wali Khan University, Mardan, PakistanDepartment of Mathematics, Abdul Wali Khan University, Mardan, PakistanDepartment of Mathematics, King Saud University, Riyadh 11495, Saudi ArabiaDepartment of Mathematics, Faculty of Arts and Sciences, Cankaya University, 06530 Ankara, TurkeyDepartment of Mathematics, Abdul Wali Khan University, Mardan, PakistanIn this paper, a new so-called iterative Laplace transform method is implemented to investigate the solution of certain important population models of noninteger order. The iterative procedure is combined effectively with Laplace transformation to develop the suggested methodology. The Caputo operator is applied to express the noninteger derivative of fractional order. The series form solution is obtained having components of convergent behavior toward the exact solution. For justification and verification of the present method, some illustrative examples are discussed. The closed contact is observed between the obtained and exact solutions. Moreover, the suggested method has a small volume of calculations; therefore, it can be applied to handle the solutions of various problems with fractional-order derivatives.http://dx.doi.org/10.1155/2020/5047054 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hassan Khan Adnan Khan Maysaa Al Qurashi Dumitru Baleanu Rasool Shah |
spellingShingle |
Hassan Khan Adnan Khan Maysaa Al Qurashi Dumitru Baleanu Rasool Shah An Analytical Investigation of Fractional-Order Biological Model Using an Innovative Technique Complexity |
author_facet |
Hassan Khan Adnan Khan Maysaa Al Qurashi Dumitru Baleanu Rasool Shah |
author_sort |
Hassan Khan |
title |
An Analytical Investigation of Fractional-Order Biological Model Using an Innovative Technique |
title_short |
An Analytical Investigation of Fractional-Order Biological Model Using an Innovative Technique |
title_full |
An Analytical Investigation of Fractional-Order Biological Model Using an Innovative Technique |
title_fullStr |
An Analytical Investigation of Fractional-Order Biological Model Using an Innovative Technique |
title_full_unstemmed |
An Analytical Investigation of Fractional-Order Biological Model Using an Innovative Technique |
title_sort |
analytical investigation of fractional-order biological model using an innovative technique |
publisher |
Hindawi-Wiley |
series |
Complexity |
issn |
1076-2787 1099-0526 |
publishDate |
2020-01-01 |
description |
In this paper, a new so-called iterative Laplace transform method is implemented to investigate the solution of certain important population models of noninteger order. The iterative procedure is combined effectively with Laplace transformation to develop the suggested methodology. The Caputo operator is applied to express the noninteger derivative of fractional order. The series form solution is obtained having components of convergent behavior toward the exact solution. For justification and verification of the present method, some illustrative examples are discussed. The closed contact is observed between the obtained and exact solutions. Moreover, the suggested method has a small volume of calculations; therefore, it can be applied to handle the solutions of various problems with fractional-order derivatives. |
url |
http://dx.doi.org/10.1155/2020/5047054 |
work_keys_str_mv |
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1715216862005952512 |