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A Spectral Tau Algorithm Based on Jacobi Operational Matrix for Numerical Solution of Time Fractional Diffusion-Wave Equations

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Date

2015

Journal Title

Journal ISSN

Volume Title

Publisher

Academic Press inc Elsevier Science

Open Access Color

Green Open Access

No

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Publicly Funded

No
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Top 1%
Influence
Top 1%
Popularity
Top 1%

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Abstract

In this paper, an efficient and accurate spectral numerical method is presented for solving second-, fourth-order fractional diffusion-wave equations and fractional wave equations with damping. The proposed method is based on Jacobi tau spectral procedure together with the Jacobi operational matrix for fractional integrals, described in the Riemann-Liouville sense. The main characteristic behind this approach is to reduce such problems to those of solving systems of algebraic equations in the unknown expansion coefficients of the sought-for spectral approximations. The validity and effectiveness of the method are demonstrated by solving five numerical examples. Numerical examples are presented in the form of tables and graphs to make comparisons with the results obtained by other methods and with the exact solutions more easier. (C) 2014 Elsevier Inc. All rights reserved.

Description

Doha, Eid/0000-0002-7781-6871

Keywords

Fractional Diffusion-Wave Equations, Tau Method, Shifted Jacobi Polynomials, Operational Matrix, Caputo Derivative, tau method, operational matrix, shifted Jacobi polynomials, fractional diffusion-wave equations, Fractional partial differential equations, Caputo derivative, Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs

Fields of Science

0103 physical sciences, 01 natural sciences

Citation

Bhrawy, A.H...et al. (2015). A spectral tau algorithm based on Jacobi operational matrix for numerical solution of time fractional diffusion-wave equations. Journal Of The Computational Physics, 293, 142-156. http://dx.doi.org/10.1016/j.jcp.2014.03.039

WoS Q

Q1

Scopus Q

Q1
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OpenCitations Citation Count
181

Source

Journal of Computational Physics

Volume

293

Issue

Start Page

142

End Page

156
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Citations

CrossRef : 177

Scopus : 208

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Mendeley Readers : 35

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18.8362

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