arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2408.02497math.NAcs.NA
收藏

混合代理模型:规避具有有限激波型间断的偏微分方程的 Gibbs 现象

Hybrid Surrogate Models: Circumventing Gibbs Phenomenon for Partial Differential Equations with Finite Shock-Type Discontinuities

Juan-Esteban Suarez Cardona, Shashank Reddy, Michael Hecht

AI总结:

提出结合多元多项式与 Heavyside 函数的混合代理模型,通过变分优化同时参数化激波位置、高度并求解含激波的非正则 PDE,从而规避 Gibbs 现象。

摘要:

我们引入混合代理模型(Hybrid Surrogate Models,HSMs)的概念——将多元多项式与 Heavyside 函数相结合——作为具有有限多个跳跃间断的函数的近似。我们利用 HSMs 构建一种变分优化方法,以求解具有非连续激波型解的非正则偏微分方程(PDEs)。HSM 技术可同时获得激波位置和高度的参数化以及 PDE 的解。我们表明,HSM 技术规避了限制经典数值方法所能达到精度的著名 Gibbs 现象。针对线性和非线性传播激波的数值实验证明了 HSM 技术强大的近似能力。

英文摘要:

We introduce the concept of Hybrid Surrogate Models (HSMs) -- combining multivariate polynomials with Heavyside functions -- as approximates of functions with finitely many jump discontinuities. We exploit the HSMs for formulating a variational optimization approach, solving non-regular partial differential equations (PDEs) with non-continuous shock-type solutions. The HSM technique simultaneously obtains a parametrization of the position and the height of the shocks as well as the solution of the PDE. We show that the HSM technique circumvents the notorious Gibbs phenomenon, which limits the accuracy that classic numerical methods reach. Numerical experiments, addressing linear and non-linearly propagating shocks, demonstrate the strong approximation power of the HSM technique.

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。

↑