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Abstract

This study presents a novel numerical method for solving the nonlinear time-fractional generalized Kawahara equations (NTFGKE) under uniform initial boundary conditions (IBCs). To satisfy the aforementioned IBCs, we construct a class of modified Schröder polynomials (MSPs). The suggested approach makes use of operational matrices (OMs) to compute MSPs’ fractional derivatives (FDs) as well as the ordinary derivatives (ODs). These OMs are integrated alongside the spectral collocation method (SCM) to achieve the computational framework. The proposed approach’s convergence and error analysis are provided. We show three numerical test cases to illustrate the accuracy and usefulness of our methodology. The efficacy of the method is demonstrated by benchmarking the obtained numerical outcomes against established solutions. Tables and graphs demonstrate that the suggested method yields very accurate approximate solutions (ASols). Our method demonstrates significant improvements in accuracy and computational efficiency, making it particularly valuable for complex nonlinear problems. This research contributes to the field by providing a robust tool for accurately solving time-fractional equations, which are crucial in modeling various physical phenomena.

Details

1009240
Title
An accurate approximation technique based on Schröder operational matrices for numerical treatments of time-fractional nonlinear generalized Kawahara equation
Author
Ahmed, Hany M. 1 ; Izadi, Mohammad 2 

 Helwan University, Department of Mathematics, Faculty of Technology and Education, Cairo, Egypt (GRID:grid.412093.d) (ISNI:0000 0000 9853 2750) 
 Shahid Bahonar University of Kerman, Department of Applied Mathematics, Faculty of Mathematics and Computer, Kerman, Iran (GRID:grid.412503.1) (ISNI:0000 0000 9826 9569) 
Publication title
Volume
2025
Issue
1
Pages
90
Publication year
2025
Publication date
Dec 2025
Publisher
Hindawi Limited
Place of publication
New York
Country of publication
United Kingdom
Publication subject
ISSN
16872762
e-ISSN
16872770
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-07-01
Milestone dates
2025-06-07 (Registration); 2025-04-23 (Received); 2025-06-07 (Accepted)
Publication history
 
 
   First posting date
01 Jul 2025
ProQuest document ID
3226009611
Document URL
https://www.proquest.com/scholarly-journals/accurate-approximation-technique-based-on/docview/3226009611/se-2?accountid=208611
Copyright
Copyright Hindawi Limited Dec 2025
Last updated
2025-07-02
Database
ProQuest One Academic