Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/6638
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dc.contributor.authorRoy, Rupshaen_US
dc.contributor.authorVijesh, Antonyen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-21T10:50:01Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-21T10:50:01Z-
dc.date.issued2019-
dc.identifier.citationRoy, R., Vijesh, V. A., & Chandhini, G. (2019). Iterative methods for a fractional-order volterra population model. Journal of Integral Equations and Applications, 31(2), 245-264. doi:10.1216/JIE-2019-31-2-245en_US
dc.identifier.issn0897-3962-
dc.identifier.otherEID(2-s2.0-85075799777)-
dc.identifier.urihttps://doi.org/10.1216/JIE-2019-31-2-245-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/6638-
dc.description.abstractWe prove an existence and uniqueness theorem for a fractional-order Volterra population model via an efficient monotone iterative scheme. By coupling a spectral method with the proposed iterative scheme, the fractional-order integrodiffer- ential equation is solved numerically. The numerical experiments show that the proposed iterative scheme is more efficient than an existing iterative scheme in the literature, the convergence of which is very sensitive to various parameters, including the fractional order of the derivative. The spectral method based on our proposed iterative scheme shows greater flexibility with respect to various parameters. Sufficient conditions are provided to select the initial guess that ensures the quadratic convergence of the quasilinearization scheme. © 2019 Rocky Mountain Mathematics Consortium.en_US
dc.language.isoenen_US
dc.publisherRocky Mountain Mathematics Consortiumen_US
dc.sourceJournal of Integral Equations and Applicationsen_US
dc.titleIterative methods for a fractional-order Volterra population modelen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Mathematics

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