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

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Date

2015

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Science inc

Open Access Color

Green Open Access

No

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No
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Top 10%
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Top 10%
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Top 10%

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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
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OpenCitations Citation Count
74

Source

Applied Mathematics and Computation

Volume

257

Issue

Start Page

119

End Page

133
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CrossRef : 17

Scopus : 126

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Mendeley Readers : 39

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10.28147625

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