dc.contributor.author |
Açan, Ömer
|
|
dc.contributor.author |
Al Qurashi, Maysaa Mohamed
|
|
dc.contributor.author |
Baleanu, Dumitru
|
|
dc.date.accessioned |
2019-12-18T10:35:49Z |
|
dc.date.available |
2019-12-18T10:35:49Z |
|
dc.date.issued |
2017 |
|
dc.identifier.citation |
Acan, Omer; Al Qurashi, Maysaa Mohamed; Baleanu, Dumitru (2017). New exact solution of generalized biological population model, Journal Of Nonlinear Sciences And Applications, 10(7), 3916-3929. |
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dc.identifier.issn |
2008-1898 |
|
dc.identifier.uri |
http://hdl.handle.net/20.500.12416/2172 |
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dc.description.abstract |
In this study, a mathematical model of the generalized biological population model (GBPM) gets a new exact solution with a conformable derivative operator (CDO). The new exact solution of this model will be obtained by a new approximate analytic technique named three dimensional conformable reduced differential transform method (TCRDTM). By using this technique, it is possible to find new exact solution as well as closed analytical approximate solution of a partial differential equations (PDEs). Three numerical applications of GBPM are given to check the accuracy, effectiveness, and convergence of the TCRDTM. In these applications, obtained new exact solutions in conformable sense are compared with the exact solutions in Caputo sense in literature. The comparisons are illustrated in 3D graphics. The results show that when alpha -> 1, the exact solutions in conformable and Caputo sense converge to each other. In other cases, exact solutions different from each other are obtained. (C) 2017 All rights reserved. |
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dc.language.iso |
eng |
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dc.publisher |
Int Scientific Research Publications |
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dc.relation.isversionof |
10.22436/jnsa.010.07.44 |
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dc.rights |
info:eu-repo/semantics/openAccess |
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dc.subject |
Numerical Solution |
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dc.subject |
Biological Populations Model |
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dc.subject |
Reduced Differential Transform Method |
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dc.subject |
Conformable Derivative |
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dc.subject |
Partial Differential Equations |
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dc.title |
New exact solution of generalized biological population model |
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dc.type |
article |
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dc.relation.journal |
Journal Of Nonlinear Sciences And Applications |
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dc.contributor.authorID |
56389 |
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dc.identifier.volume |
10 |
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dc.identifier.issue |
7 |
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dc.identifier.startpage |
3916 |
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dc.identifier.endpage |
3929 |
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dc.contributor.department |
Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik - Bilgisayar Bölümü |
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