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arXiv 1607.05019math.NAcs.NA
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嵌入型WENO:改进现有WENO方案的设计策略

Embedded WENO: a design strategy to improve existing WENO schemes

Eindhoven University of Technology(埃因霍温理工大学);Philips Lighting(飞利浦照明)

Bart S. van Lith, Jan H. M. ten Thije Boonkkamp, Wilbert L. IJzerman

AI总结:

本文提出一种设计策略,通过嵌入方法提升现有WENO方案的性能,展示了改进后的WENO-Jiang-Shu和WENO-Z方案在光滑解和间断解中的优势,且计算成本无增加。

摘要:

嵌入型WENO方法利用所有相邻光滑子网格来构建理想的插值。传统WENO方案在大梯度或间断附近未能充分利用这一可能性。本文提出了一种通用方法,用于构建现有WENO方案的嵌入版本。基于Jiang和Shu的WENO方案和Borges等人提出的WENO-Z方案,显式构建了嵌入方法。几种可能的选择导致在足够光滑的解中具有更好的谱特性或更高的收敛阶。然而,这些改进也适用于间断解。通过多个数值例子验证,嵌入方法确实优于其标准版本。所有提出的嵌入方法与标准版本相比,计算成本无增加。

英文摘要:

Embedded WENO methods utilize all adjacent smooth substencils to construct a desirable interpolation. Conventional WENO schemes under-use this possibility close to large gradients or discontinuities. We develop a general approach for constructing embedded versions of existing WENO schemes. Embedded methods based on the WENO schemes of Jiang and Shu (J. Comput. Phys. 126 (1996)) and on the WENO-Z scheme of Borges et al. (J. Comput. Phys. 227 (2008)) are explicitly constructed. Several possible choices are presented that result in either better spectral properties or a higher order of convergence for sufficiently smooth solutions. However, these improvements carry over to discontinuous solutions. The embedded methods are demonstrated to be indeed improvements over their standard counterparts by several numerical examples. All the embedded methods presented have no added computational effort compared to their standard counterparts.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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