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A Numerical Framework for the Approximate Solution of Fractional Tumor-Obesity Model

dc.contributor.author Defterli, Ozlem
dc.contributor.author Shumaila
dc.contributor.author Arshad, Sadia
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2020-02-28T12:18:43Z
dc.date.accessioned 2025-09-18T14:09:29Z
dc.date.available 2020-02-28T12:18:43Z
dc.date.available 2025-09-18T14:09:29Z
dc.date.issued 2019
dc.description Arshad, Sadia/0000-0001-9085-5915 en_US
dc.description.abstract In this paper, we have proposed the efficient numerical methods to solve a tumor-obesity model which involves two types of the fractional operators namely Caputo and Caputo-Fabrizio (CF). Stability and convergence of the proposed schemes using Caputo and CF fractional operators are analyzed. Numerical simulations are carried out to investigate the effect of low and high caloric diet on tumor dynamics of the generalized models. We perform the numerical simulations of the tumor-obesity model for different fractional order by varying immune response rate to compare the dynamics of the Caputo and CF fractional operators. en_US
dc.description.sponsorship Scientific and Technological Research Council of Turkey (TUBTAK) [TBAG-117F473] en_US
dc.description.sponsorship This research is supported by the Scientific and Technological Research Council of Turkey (TUBTAK) under the Grant No. TBAG-117F473. en_US
dc.identifier.citation Arshad, Sadia...et al. (2019). "A numerical framework for the approximate solution of fractional tumor-obesity model", International Journal of Modeling Simulation and Scientific Computing, Vol. 10, No. 1. en_US
dc.identifier.doi 10.1142/S1793962319410083
dc.identifier.issn 1793-9623
dc.identifier.issn 1793-9615
dc.identifier.scopus 2-s2.0-85058824135
dc.identifier.uri https://doi.org/10.1142/S1793962319410083
dc.identifier.uri https://hdl.handle.net/20.500.12416/13403
dc.language.iso en en_US
dc.publisher World Scientific Publ Co Pte Ltd en_US
dc.relation.ispartof International Journal of Modeling, Simulation, and Scientific Computing
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Tumor-Obesity Model en_US
dc.subject Numerical Approximation en_US
dc.subject Stability And Convergence Analysis en_US
dc.title A Numerical Framework for the Approximate Solution of Fractional Tumor-Obesity Model en_US
dc.title A numerical framework for the approximate solution of fractional tumor-obesity model tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Arshad, Sadia/0000-0001-9085-5915
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gdc.author.wosid Arshad, Sadia/Aan-3684-2020
gdc.author.wosid Baleanu, Dumitru/B-9936-2012
gdc.author.wosid Defterli, Ozlem/Aah-2521-2020
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gdc.coar.type text::journal::journal article
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gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Arshad, Sadia; Shumaila] COMSATS Univ Islamabad, Dept Math, Lahore 54000, Punjab, Pakistan; [Baleanu, Dumitru; Defterli, Ozlem] Cankaya Univ, Dept Math & Comp Sci, TR-06530 Ankara, Turkey en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 1941008
gdc.description.volume 10 en_US
gdc.description.woscitationindex Emerging Sources Citation Index
gdc.description.wosquality Q3
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gdc.oaire.sciencefields 03 medical and health sciences
gdc.oaire.sciencefields 0302 clinical medicine
gdc.oaire.sciencefields 0101 mathematics
gdc.oaire.sciencefields 01 natural sciences
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gdc.opencitations.count 6
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gdc.publishedmonth 2
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gdc.virtual.author Defterli, Özlem
gdc.virtual.author Baleanu, Dumitru
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