Variational Iteration Method for a Fractional-Order Brusselator System
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Date
2014
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Hindawi Ltd
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
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Publicly Funded
No
Abstract
This paper presents approximate analytical solutions for the fractional-order Brusselator system using the variational iteration method. The fractional derivatives are described in the Caputo sense. This method is based on the incorporation of the correction functional for the equation. Two examples are solved as illustrations, using symbolic computation. The numerical results show that the introduced approach is a promising tool for solving system of linear and nonlinear fractional differential equations.
Description
Jafari, Hossein/0000-0001-6807-6675
ORCID
Keywords
Economics, Fractional Order Control, Brusselator, Mathematical analysis, Quantum mechanics, Convergence Analysis of Iterative Methods for Nonlinear Equations, Engineering, QA1-939, FOS: Mathematics, Anomalous Diffusion Modeling and Analysis, Order (exchange), Analysis and Design of Fractional Order Control Systems, Numerical Analysis, Physics, Fractional calculus, Derivative-Free Methods, Applied mathematics, Algorithm, Fractional Derivatives, Control and Systems Engineering, Modeling and Simulation, Physical Sciences, Computation, Nonlinear system, Fractional Calculus, Iterative Methods, Mathematics, Finance, Theoretical approximation of solutions to ordinary differential equations
Fields of Science
01 natural sciences, 0103 physical sciences
Citation
Baleanu, Dimitru; Jafari, H.; Kadem, Abdelouahab, "Variational Iteration Method for a Fractional-Order Brusselator System", Abstract and Applied Analysis, (2014).
WoS Q
Scopus Q
Q3

OpenCitations Citation Count
16
Source
Abstract and Applied Analysis
Volume
2014
Issue
Start Page
1
End Page
6
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Citations
CrossRef : 4
Scopus : 28
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Mendeley Readers : 7
SCOPUS™ Citations
28
checked on Feb 24, 2026
Web of Science™ Citations
16
checked on Feb 24, 2026
Page Views
3
checked on Feb 24, 2026
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