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An ADI Finite Volume Element Method for a Viscous Wave Equation with Variable Coefficients

Mengya Su1, Zhihao Ren1, Zhiyue Zhang1, *

1 School of Mathematical Sciences, Jiangsu Provincial Key Laboratory for Numerical Simulation of Large Scale Complex Systems, Nanjing Normal University, Nanjing, 210023, China.

* Corresponding Author: Zhiyue Zhang. Email: email.

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

Computer Modeling in Engineering & Sciences 2020, 123(2), 739-776. https://doi.org/10.32604/cmes.2020.08563

Abstract

Based on rectangular partition and bilinear interpolation, we construct an alternating-direction implicit (ADI) finite volume element method, which combined the merits of finite volume element method and alternating direction implicit method to solve a viscous wave equation with variable coefficients. This paper presents a general procedure to construct the alternating-direction implicit finite volume element method and gives computational schemes. Optimal error estimate in L2 norm is obtained for the schemes. Compared with the finite volume element method of the same convergence order, our method is more effective in terms of running time with the increasing of the computing scale. Numerical experiments are presented to show the efficiency of our method and numerical results are provided to support our theoretical analysis.

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APA Style
Su, M., Ren, Z., Zhang, Z. (2020). An ADI finite volume element method for a viscous wave equation with variable coefficients. Computer Modeling in Engineering & Sciences, 123(2), 739-776. https://doi.org/10.32604/cmes.2020.08563
Vancouver Style
Su M, Ren Z, Zhang Z. An ADI finite volume element method for a viscous wave equation with variable coefficients. Comput Model Eng Sci. 2020;123(2):739-776 https://doi.org/10.32604/cmes.2020.08563
IEEE Style
M. Su, Z. Ren, and Z. Zhang, “An ADI Finite Volume Element Method for a Viscous Wave Equation with Variable Coefficients,” Comput. Model. Eng. Sci., vol. 123, no. 2, pp. 739-776, 2020. https://doi.org/10.32604/cmes.2020.08563

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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.
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