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International Journal of Research and Scientific Innovation (IJRSI)

Caputo-Type Fractional Differential Equations: Recent Advances and Review

byAli Karim Lelo Alobaidi

Published July 21, 2026  •  Vol. 13, Issue 7, pp. 77–94Open Access
DOI: 10.51244/IJRSI.2026.1307000006

Abstract

This review examines recent advances in Caputo-type fractional differential equations, focusing on theoretical foundations, existence and uniqueness results, and progress in numerical methods. Particular emphasis is placed on discretization schemes, convergence analysis, and high-order hybrid techniques that enhance accuracy and efficiency. Applications in science and engineering such as viscoelasticity, anomalous transport, population dynamics, and epidemiology demonstrate the broad utility of Caputo-type models in capturing memory effects and long-range interactions. The review also explores nonlinear formulations, optimal control, inverse problems, and stochastic extensions, underscoring both the versatility and the challenges of Caputo-based approaches. Finally, the review outlines open questions and future research directions, offering a roadway for advancing fractional calculus theory and applications in complex systems.

Keywords: Caputo fractional derivative; Fractional differential equations; Existence and uniqueness; Numerical methods; Viscoelasticity; Anomalous diffusion; Population dynamics; Epidemic modeling.

JournalInternational Journal of Research and Scientific Innovation (IJRSI)
ISSN2321-2705
Volume / IssueVolume 13, Issue 7
Pages77–94
Publication dateJuly 21, 2026
DOI10.51244/IJRSI.2026.1307000006
PublisherRSIS International
LicenseOpen Access

How to cite this article

Ali Karim Lelo Alobaidi (2026). Caputo-Type Fractional Differential Equations: Recent Advances and Review. International Journal of Research and Scientific Innovation (IJRSI), 13(7), 77-94. https://doi.org/10.51244/IJRSI.2026.1307000006

BibTeX

@article{Ali2026,
  title   = {Caputo-Type Fractional Differential Equations: Recent Advances and Review},
  author  = {Ali Karim Lelo Alobaidi},
  journal = {International Journal of Research and Scientific Innovation (IJRSI)},
  volume  = {13},
  number  = {7},
  pages   = {77--94},
  year    = {2026},
  doi     = {10.51244/IJRSI.2026.1307000006},
  publisher = {RSIS International}
}