Nonstandard Finite Difference Method for Solving Complex-Order Fractional Burgers' Equations
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
The aim of this work is to present numerical treatments to a complex order fractional nonlinear one-dimensional problem of Burgers' equations. A new parameter sigma(t) is presented in order to be consistent with the physical model problem. This parameter characterizes the existence of fractional structures in the equations. A relation between the parameter sigma(t) and the time derivative complex order is derived. An unconditionally stable numerical scheme using a kind of weighted average nonstandard finite-difference discretization is presented. Stability analysis of this method is studied. Numerical simulations are given to confirm the reliability of the proposed method. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Cairo University.
Description
Al-Mekhlafi, Seham/0000-0003-0351-9679
ORCID
Keywords
Burgers' Equations, Complex Order Fractional Derivative, Nonstandard Weighted Average Finite Difference Method, Stability Analysis, Medicine (General), Q1-390, R5-920, Science (General), Nonstandard weighted average finite difference method, Stability analysis, Burgers’ equations, Complex order fractional derivative, Article
Fields of Science
0103 physical sciences, 01 natural sciences
Citation
Sweilam, N.H.; AL-Mekhlafi, S.M.; Baleanu, Dumitru (2022). "Nonstandard finite difference method for solving complex-order fractional Burgers’ equations", Journal of Advanced Research, Vol. 25, pp. 19-29.
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
17
Source
Journal of Advanced Research
Volume
25
Issue
Start Page
19
End Page
29
PlumX Metrics
Citations
CrossRef : 17
Scopus : 21
PubMed : 4
Captures
Mendeley Readers : 7
SCOPUS™ Citations
21
checked on Feb 23, 2026
Web of Science™ Citations
17
checked on Feb 23, 2026
Page Views
2
checked on Feb 23, 2026
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