International Journal of Research and Scientific Innovation (IJRSI)
Caputo-Type Fractional Differential Equations: Recent Advances and Review
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.
| Journal | International Journal of Research and Scientific Innovation (IJRSI) |
|---|---|
| ISSN | 2321-2705 |
| Volume / Issue | Volume 13, Issue 7 |
| Pages | 77–94 |
| Publication date | July 21, 2026 |
| DOI | 10.51244/IJRSI.2026.1307000006 |
| Publisher | RSIS International |
| License | Open 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}
}