时变扩散方程的六阶拟紧差分格式

IF 0.7 4区 数学 Q3 MATHEMATICS, APPLIED
Zhi Wang, Yongbin Ge, Hai-Wei Sun, Tao Sun
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引用次数: 0

摘要

本文的重点是建立一种求解时变扩散方程的高阶精度数值方法。首先对时间进行离散,得到每个时间水平上的修正亥姆霍兹方程。然后,采用无导数的拟紧差分法对得到的亥姆霍兹方程进行离散化。从理论上讲,利用傅里叶方法和误差估计分别对该方法进行了稳定性和收敛性分析。数值上,采用Richardson外推算法提高时间精度,采用快速正弦变换降低求解离散线性系统的复杂度。数值算例验证了所提离散化方法的准确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Sixth-order quasi-compact difference scheme for the time-dependent diffusion equation

Sixth-order quasi-compact difference scheme for the time-dependent diffusion equation

This paper focuses on developing a numerical method with high-order accuracy for solving the time-dependent diffusion equation. We discrete time first, which results in a modified Helmholtz equation at each time level. Then, the quasi-compact difference method, which is derivative-free, is used to discretize the resulting Helmholtz equation. Theoretically, the stability and convergence analyses are performed by the aid of the Fourier method and error estimation, respectively. Numerically, Richardson extrapolation algorithm is utilized to improve the time accuracy, while the fast sine transformation is employed to reduce the complexity for solving the discretized linear system. Numerical examples are given to validate the accuracy and effectiveness of the proposed discretization method.

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来源期刊
CiteScore
1.50
自引率
11.10%
发文量
56
审稿时长
>12 weeks
期刊介绍: Japan Journal of Industrial and Applied Mathematics (JJIAM) is intended to provide an international forum for the expression of new ideas, as well as a site for the presentation of original research in various fields of the mathematical sciences. Consequently the most welcome types of articles are those which provide new insights into and methods for mathematical structures of various phenomena in the natural, social and industrial sciences, those which link real-world phenomena and mathematics through modeling and analysis, and those which impact the development of the mathematical sciences. The scope of the journal covers applied mathematical analysis, computational techniques and industrial mathematics.
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