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Multistep generalized transformation method applied to solving equations of discrete and continuous time-fractional enzyme kinetics
dc.creator | Vosika, Zoran B. | |
dc.creator | Mitić, Vojislav V. | |
dc.creator | Vasić, Aleksandra | |
dc.creator | Lazović, Goran | |
dc.creator | Matija, Lidija | |
dc.creator | Kocić, Ljubiša | |
dc.date.accessioned | 2022-09-19T18:08:32Z | |
dc.date.available | 2022-09-19T18:08:32Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 1007-5704 | |
dc.identifier.uri | https://machinery.mas.bg.ac.rs/handle/123456789/2542 | |
dc.description.abstract | In this paper, Caputo based Michaelis-Menten kinetic model based on Time Scale Calculus (TSC) is proposed. The main reason for its consideration is a study of tumor cells population growth dynamics. In the particular case discrete-continuous time kinetics, Michaelis-Menten model is numerically treated, using a new algorithm proposed by authors, called multistep generalized difference transformation method (MSGDETM). In addition numerical simulations are performed and is shown that it represents the upgrade of the multistep variant of generalized differential transformation method (MSGDTM). A possible conditions for its further development are discussed and possible experimental verification is described. | en |
dc.publisher | Elsevier Science Bv, Amsterdam | |
dc.relation.isversionof | https://machinery.mas.bg.ac.rs/handle/123456789/3937 | |
dc.rights | restrictedAccess | |
dc.source | Communications in Nonlinear Science and Numerical Simulation | |
dc.subject | Nonlinear systems | en |
dc.subject | kinetics | en |
dc.subject | Discrete fractional calculus | en |
dc.title | Multistep generalized transformation method applied to solving equations of discrete and continuous time-fractional enzyme kinetics | en |
dc.type | article | |
dc.rights.license | ARR | |
dc.citation.epage | 389 | |
dc.citation.other | 44: 373-389 | |
dc.citation.rank | aM21 | |
dc.citation.spage | 373 | |
dc.citation.volume | 44 | |
dc.description.other | Peer reviewed version of the paper: [https://machinery.mas.bg.ac.rs/handle/123456789/3937] | |
dc.identifier.doi | 10.1016/j.cnsns.2016.08.024 | |
dc.identifier.scopus | 2-s2.0-84986550432 | |
dc.identifier.wos | 000386744400031 | |
dc.type.version | publishedVersion |
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