Table of Content

Open Access iconOpen Access

ARTICLE

crossmark

On Caputo-Type Cable Equation: Analysis and Computation

Zhen Wang1, *

1 Department of Mathematics, Shanghai University, Shanghai, 200444, China.

∗ Corresponding Author: Zhen Wang. Email: email.

(This article belongs to the Special Issue: Numerical Methods for Differential and Integral Equations)

Computer Modeling in Engineering & Sciences 2020, 123(1), 353-376. https://doi.org/10.32604/cmes.2020.08776

Abstract

In this paper, a special case of nonlinear time fractional cable equation is studied. For the equation defined on a bounded domain, the existence, uniqueness, and regularity of the solution are firstly studied. Furthermore, it is numerically studied via the weighted and shifted Grünwald difference (WSGD) methods/the local discontinuous Galerkin (LDG) finite element methods. The derived numerical scheme has been proved to be stable and convergent with order O(∆t2 + hk+1), where ∆t, h, k are the time stepsize, the spatial stepsize, and the degree of piecewise polynomials, respectively. Finally, a numerical experiment is presented to verify the theoretical analysis.

Keywords


Cite This Article

APA Style
Wang, Z. (2020). On caputo-type cable equation: analysis and computation. Computer Modeling in Engineering & Sciences, 123(1), 353-376. https://doi.org/10.32604/cmes.2020.08776
Vancouver Style
Wang Z. On caputo-type cable equation: analysis and computation. Comput Model Eng Sci. 2020;123(1):353-376 https://doi.org/10.32604/cmes.2020.08776
IEEE Style
Z. Wang, “On Caputo-Type Cable Equation: Analysis and Computation,” Comput. Model. Eng. Sci., vol. 123, no. 1, pp. 353-376, 2020. https://doi.org/10.32604/cmes.2020.08776



cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 3201

    View

  • 2096

    Download

  • 0

    Like

Share Link