Analytical Solution of Fractional-Order Hyperbolic Telegraph Equation, Using Natural Transform Decomposition Method
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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
Mdpi
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
In the current paper, fractional-order hyperbolic telegraph equations are considered for analytical solutions, using the decomposition method based on natural transformation. The fractional derivative is defined by the Caputo operator. The present technique is implemented for both fractional- and integer-order equations, showing that the current technique is an accurate analytical instrument for the solution of partial differential equations of fractional-order arising in all branches of applied sciences. For this purpose, several examples related to hyperbolic telegraph models are presented to explain the procedure of the suggested method. It is noted that the procedure of the present technique is simple, straightforward, accurate, and found to be a better mathematical technique to solve non-linear fractional partial differential equations.
Description
Khan, Hassan/0000-0001-6417-1181; Arif, Muhammad/0000-0003-1484-7643; Kumam, Poom/0000-0002-5463-4581
Keywords
Natural Transform, Adomian Decomposition Method, Caputo Operator, Hyperbolic Telegraph Equation, caputo operator, natural transform, adomian decomposition method, hyperbolic telegraph equation
Fields of Science
0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences
Citation
Khan, Hassan...et al. (2019). "Analytical Solution of Fractional-Order Hyperbolic Telegraph Equation, Using Natural Transform Decomposition Method", Electronics, Vol. 8, No. 9.
WoS Q
Q2
Scopus Q
Q2

OpenCitations Citation Count
40
Source
Electronics
Volume
8
Issue
9
Start Page
1015
End Page
PlumX Metrics
Citations
CrossRef : 41
Scopus : 45
Captures
Mendeley Readers : 4
SCOPUS™ Citations
46
checked on Feb 26, 2026
Web of Science™ Citations
40
checked on Feb 26, 2026
Page Views
2
checked on Feb 26, 2026
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