基于高阶 Korteweg-de Vries 型方程的长波传播时空广义有限差分方案

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematics and Computers in Simulation Pub Date : 2024-09-19 DOI:10.1016/j.matcom.2024.09.012
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摘要

本文采用时空广义有限差分法求解多维非线性高阶 Korteweg-de Vries 方程。所提出的数值方案结合了时空广义有限差分法、Levenberg-Marquardt 算法和时间行进法。时空广义有限差分法将时间轴视为空间轴,从而使拟议方案能够离散化支配方程中的所有导数。这是通过泰勒级数展开和移动最小二乘法实现的。由于泰勒级数可扩展到任何阶次,拟议的数值方案在有效处理混合导数和高阶导数方面表现出色。这些功能是拟议方案的显著优势。所得到的代数方程系统是稀疏的,但又是过确定的。因此,可以直接采用 Levenberg-Marquardt 算法来求解这个非线性代数系统。在计算过程中,时间行进方法通过划分时空域减少了计算量并提高了效率。
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A space-time generalized finite difference scheme for long wave propagation based on high-order Korteweg-de Vries type equations
In this paper, the space-time generalized finite difference scheme is applied to solve the nonlinear high-order Korteweg-de Vries equations in multiple dimensions. The proposed numerical scheme combines the space-time generalized finite difference method, the Levenberg-Marquardt algorithm, and a time-marching approach. The space-time generalized finite difference method treats the temporal axis as a spatial axis, enabling the proposed scheme to discretize all derivatives in the governing equation. This is accomplished through Taylor series expansion and the moving least squares method. Due to the expandability of the Taylor series to any order, the proposed numerical scheme excels in efficiently handling mixed and higher-order derivatives. These capabilities are distinct advantages of the proposed scheme. The resulting system of algebraic equations is sparse but overdetermined. Therefore, the Levenberg-Marquardt algorithm is directly applied to solve this nonlinear algebraic system. During the calculation process, the time-marching approach reduces computational effort and improves efficiency by dividing the space-time domain.
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来源期刊
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
期刊介绍: The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles. Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO. Topics covered by the journal include mathematical tools in: •The foundations of systems modelling •Numerical analysis and the development of algorithms for simulation They also include considerations about computer hardware for simulation and about special software and compilers. The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research. The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
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