A Hybrid Approach for Solving Fractional Caputo Partial Differential Equations with Convergence Analysis
Keywords:
Homotopy analysis method, Caputo derivative, Fractional differential equations
Abstract
In this research, fractional Caputo partial differential equations are addressed using the q-Homotopy analysis method merged with the Sawi transform method through the construction of a novel algorithm. This approach combines the Sawi transform with the q-Homotopy analysis method to demonstrate how complex fractional differential equations can be solved analytically in a straightforward manner. The proposed algorithm illustrates the effectiveness of applying the Sawi transform in conjunction with the q-Homotopy method to overcome the challenges associated with handling nonlinear terms numerically. Several examples are provided to verify the accuracy and efficiency of the proposed approach. The results indicate that the method converges to the exact solutions when suitable parameters are chosen. Therefore, the proposed method proves to be a robust and flexible algorithm for solving nonlinear fractional partial differential equations.
Published
2026-02-21
How to Cite
Saadeh, R., Kamal. H. Sedeeg, A., Abufoudeh, G., Qazza, A., & Hafez, M. (2026). A Hybrid Approach for Solving Fractional Caputo Partial Differential Equations with Convergence Analysis. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-3235
Issue
Section
Research Articles
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).