A Novel Expansion Iterative Method for Solving Linear Partial Differential Equations of Fractional Order
Loading...

Date
2015
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Science inc
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
In this manuscript, we implement a relatively new analytic iterative technique for solving time-space-fractional linear partial differential equations subject to given constraints conditions based on the generalized Taylor series formula. The solution methodology is based on generating the multiple fractional power series expansion solution in the form of a rapidly convergent series with minimum size of calculations. This method can be used as an alternative to obtain analytic solutions of different types of fractional linear partial differential equations applied in mathematics, physics, and engineering. Some numerical test applications were analyzed to illustrate the procedure and to confirm the performance of the proposed method in order to show its potentiality, generality, and accuracy for solving such equations with different constraints conditions. Numerical results coupled with graphical representations explicitly reveal the complete reliability and efficiency of the suggested algorithm. (C) 2015 Elsevier Inc. All rights reserved.
Description
Momani, Shaher/0000-0002-6326-8456; El-Ajou, Ahmad/0000-0002-7470-8162; Abu Arqub, Omar/0000-0001-9526-6095
Keywords
Fractional Partial Differential Equations, Fractional Power Series, Residual Power Series, fractional partial differential equations, fractional power series, Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems, Fractional partial differential equations, Approximation algorithms, residual power series
Fields of Science
0103 physical sciences, 01 natural sciences
Citation
El-Ajou, A...et al. (2015). A novel expansion iterative method for solving linear partial differential equations of fractional order. Applied Mathematics&Computation, 257, 119-133. http://dx.doi.org/10.1016/j.amc.2014.12.121
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
74
Source
Applied Mathematics and Computation
Volume
257
Issue
Start Page
119
End Page
133
PlumX Metrics
Citations
CrossRef : 17
Scopus : 126
Captures
Mendeley Readers : 39
Google Scholar™


