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Abstract

This article proposes numerical algorithms for solving second-order and telegraph linear partial differential equations using a matrix approach that employs certain generalized Chebyshev polynomials as basis functions. This approach uses the operational matrix of derivatives of the generalized Chebyshev polynomials and applies the collocation method to convert the equations with their underlying conditions into algebraic systems of equations that can be numerically treated. The convergence and error bounds are examined deeply. Some numerical examples are shown to demonstrate the efficiency and applicability of the proposed algorithms.

Details

1009240
Title
A New Generalized Chebyshev Matrix Algorithm for Solving Second-Order and Telegraph Partial Differential Equations
Author
Waleed Mohamed Abd-Elhameed 1   VIAFID ORCID Logo  ; Hafez, Ramy M 2   VIAFID ORCID Logo  ; Napoli, Anna 3   VIAFID ORCID Logo  ; Ahmed Gamal Atta 4   VIAFID ORCID Logo 

 Department of Mathematics, Faculty of Science, Cairo University, Giza 12613, Egypt; [email protected] 
 Department of Mathematics, Faculty of Education, Matrouh University, Cairo 51511, Egypt; [email protected] 
 Department of Mathematics and Computer Science, University of Calabria, 87036 Rende, Italy 
 Department of Mathematics, Faculty of Education, Ain Shams University, Roxy, Cairo 11341, Egypt; [email protected] 
Publication title
Algorithms; Basel
Volume
18
Issue
1
First page
2
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
19994893
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2024-12-26
Milestone dates
2024-11-18 (Received); 2024-12-23 (Accepted)
Publication history
 
 
   First posting date
26 Dec 2024
ProQuest document ID
3159222455
Document URL
https://www.proquest.com/scholarly-journals/new-generalized-chebyshev-matrix-algorithm/docview/3159222455/se-2?accountid=208611
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-01-24
Database
ProQuest One Academic