Приказ основних података о документу

dc.creatorVosika, Zoran B.
dc.creatorMitić, Vojislav V.
dc.creatorVasić, Aleksandra
dc.creatorLazović, Goran
dc.creatorMatija, Lidija
dc.creatorKocić, Ljubiša
dc.date.accessioned2022-11-18T20:53:07Z
dc.date.available2018-09-06
dc.date.issued2017
dc.identifier.issn1007-5704
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/3937
dc.description.abstractIn 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.publisherElsevier Science Bv, Amsterdam
dc.relation.isversionofhttps://doi.org/10.1016/j.cnsns.2016.08.024
dc.relation.isversionofhttps://machinery.mas.bg.ac.rs/handle/123456789/2542
dc.rightsembargoedAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceCommunications in Nonlinear Science and Numerical Simulation
dc.subjectNonlinear systemsen
dc.subjectkineticsen
dc.subjectDiscrete fractional calculusen
dc.titleMultistep generalized transformation method applied to solving equations of discrete and continuous time-fractional enzyme kineticsen
dc.typearticle
dc.rights.licenseBY-NC-ND
dc.citation.epage389
dc.citation.other44: 373-389
dc.citation.rankaM21
dc.citation.spage373
dc.citation.volume44
dc.description.otherThis is the peer reviewed version of the paper: Vosika, Z. B.; Mitić, V. V.; Vasić, A.; Lazović, G.; Matija, L.; Kocić, L. Multistep Generalized Transformation Method Applied to Solving Equations of Discrete and Continuous Time-Fractional Enzyme Kinetics. Communications in Nonlinear Science and Numerical Simulation 2017, 44, 373–389. [https://doi.org/10.1016/j.cnsns.2016.08.024]
dc.identifier.doi10.1016/j.cnsns.2016.08.024
dc.identifier.fulltexthttp://machinery.mas.bg.ac.rs/bitstream/id/8774/bitstream_8774.pdf
dc.identifier.scopus2-s2.0-84986550432
dc.identifier.wos000386744400031
dc.type.versionacceptedVersion


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Приказ основних података о документу