Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/10989
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dc.contributor.authorSeferi, Ylldritaen_US
dc.contributor.authorMarkoski, GJorgjien_US
dc.contributor.authorGJurchinovski, Aleksandaren_US
dc.date.accessioned2021-03-16T09:43:08Z-
dc.date.available2021-03-16T09:43:08Z-
dc.date.issued2021-
dc.identifier.citationBulletin Mathématique 45 (in press, 2021)en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12188/10989-
dc.description.abstractFractional differential equations have excited considerable interest recently, both in pure and applied mathematics. In this paper, we apply Fractional Adams-Bashforth Method (FAB), Fractional Adams-Bashforth-Moulton Method (FABM) and Fractional Multistep Differential Transform Method (FMDTM), for obtaining the numerical solutions of two distinct linear systems of fractional differential equations with fractional derivatives described in the Caputo sense. The numerical results for the three methods are compared with the exact solution for each linear system by using the relative difference between the exact and the approximate solution at each integration point. The results are given both graphically and tabularly, concluding that, aside from occasional non-monotoncity for small time values, all three numerical methods gradually diverge from the exact solution with increasing integration time, and the superiority of each numerical method over the others depends on the particular system under investigation.en_US
dc.language.isoen_USen_US
dc.relation.ispartofBulletin Mathématiqueen_US
dc.subjectNonlinear Sciences - Adaptation and Self-Organizing Systemsen_US
dc.subjectNumerical methodsen_US
dc.subjectFractional differential equationsen_US
dc.titleOn numerical solutions of linear fractional differential equationsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.37560/matbil-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFaculty of Natural Sciences and Mathematics-
crisitem.author.deptFaculty of Natural Sciences and Mathematics-
Appears in Collections:Faculty of Natural Sciences and Mathematics: Journal Articles
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