Hamilton-Jacobi方程新的非线性权值WENO-Z格式和自适应逼近

IF 0.7 4区 数学 Q4 MATHEMATICS, APPLIED
Kwangil Kim, Kwanhung Ri, Wonho Han
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引用次数: 0

摘要

设计了一种新的五阶加权本质非振荡(WENO)格式来近似Hamilton-Jacobi方程。由于在相同的六点模板上采用了一个五阶线性近似和三个三阶线性近似,因此采用了一种新的WENO- z方法来定义非线性权值,最终WENO重构得到了一个简单而清晰的凸组合。该格式在解的光滑区域具有五阶精度,在奇点附近具有非振荡性。详细论述了参数在WENO重建中的关键作用及其选择。后半部分描述了WENO近似在收敛框架下的自适应阶段,使我们能够在纯WENO格式不能收敛的非凸问题上得到收敛的数值解,并且仍然达到高阶精度。详细的数值实验证明了所提出的数值方法的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
WENO-Z scheme with new nonlinear weights for Hamilton-Jacobi equations and adaptive approximation

A new fifth-order weighted essentially nonoscillatory (WENO) scheme is designed to approximate Hamilton-Jacobi equations. As employing a fifth-order linear approximation and three third-order ones on the same six-point stencil as before, a newly considered WENO-Z methodology is adapted to define nonlinear weights and the final WENO reconstruction results in a simple and clear convex combination. The scheme has formal fifth-order accuracy in smooth regions of the solution and nonoscillating behavior nearby singularities. A full account is given of the key role of parameters in WENO reconstruction and their selection. The latter half describes the adaptive stage on WENO approximation in convergence framework, which enables us to get the numerical solution to converge still achieving high-order accuracy for the nonconvex problems where the pure WENO scheme fails to converge. Detailed numerical experiments are performed to demonstrate the ability of the proposed numerical methods.

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来源期刊
Applications of Mathematics
Applications of Mathematics 数学-应用数学
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
3.0 months
期刊介绍: Applications of Mathematics publishes original high quality research papers that are directed towards applications of mathematical methods in various branches of science and engineering. The main topics covered include: - Mechanics of Solids; - Fluid Mechanics; - Electrical Engineering; - Solutions of Differential and Integral Equations; - Mathematical Physics; - Optimization; - Probability Mathematical Statistics. The journal is of interest to a wide audience of mathematicians, scientists and engineers concerned with the development of scientific computing, mathematical statistics and applicable mathematics in general.
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