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An Efficient Computational Approach for Local Fractional Poisson Equation in Fractal Media

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Date

2021

Journal Title

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Volume Title

Publisher

Wiley

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Green Open Access

No

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Abstract

In this article, we analyze local fractional Poisson equation (LFPE) by employing q-homotopy analysis transform method (q-HATM). The PE describes the potential field due to a given charge with the potential field known, one can then calculate gravitational or electrostatic field in fractal domain. It is an elliptic partial differential equations (PDE) that regularly appear in the modeling of the electromagnetic mechanism. In this work, PE is studied in the local fractional operator sense. To handle the LFPE some illustrative example is discussed. The required results are presented to demonstrate the simple and well-organized nature of q-HATM to handle PDE having fractional derivative in local fractional operator sense. The results derived by the discussed technique reveal that the suggested scheme is easy to employ and computationally very accurate. The graphical representation of solution of LFPE yields interesting and better physical consequences of Poisson equation with local fractional derivative.

Description

Ahmadian, Ali/0000-0002-0106-7050; Rathore, Sushila/0000-0002-0259-0329; Kumar, Devendra/0000-0003-4249-6326; Salimi, Mehdi/0000-0002-6537-6346; Salahshour, Soheil/0000-0003-1390-3551

Keywords

Local Fractional Derivative, Local Fractional Laplace Transform, Local Fractional Poisson Equation, Q&#8208, Homotopy Analysis Transform Method, local fractional Poisson equation, local fractional derivative, local fractional Laplace transform, Partial differential equations, Numerical analysis, \(q\)-homotopy analysis transform method

Fields of Science

0101 mathematics, 01 natural sciences

Citation

Singh, Jagdev...et al. (2021). "An efficient computational approach for local fractional Poisson equation in fractal media", Numerical Methods for Partial Differential Equations, Vol. 37, No. 2, pp. 1439-1448.

WoS Q

Q2

Scopus Q

Q1
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OpenCitations Citation Count
57

Source

Numerical Methods for Partial Differential Equations

Volume

37

Issue

2

Start Page

1439

End Page

1448
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CrossRef : 49

Scopus : 69

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