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arXiv math/0602376math.NAcs.NA
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具有可变松弛时间的移动网格方法

A moving mesh method with variable relaxation time

Ali Reza Soheili, John M. Stockie

AI总结:

提出一种通过自适应计算可变松弛时间以正则化网格的移动网格方法,用于求解含自相似爆破解的奇异问题,在精度、稳定性和效率上优于固定松弛时间方法。

摘要:

我们提出了一种用于求解时间依赖偏微分方程的移动网格自适应方法。空间网格点的运动由一个移动网格偏微分方程(MMPDE)控制,其中网格松弛时间τ被用作正则化参数。先前关于MMPDE的报告结果均采用常数参数τ。我们扩展了这一标准方法,引入了一个可变松弛时间,该时间与解一起自适应计算,以便在整个计算过程中适当地正则化网格。我们专注于涉及自相似爆破解的奇异问题,以展示使用可变松弛时间相对于固定松弛时间在精度、稳定性和效率方面的优势。

英文摘要:

We propose a moving mesh adaptive approach for solving time-dependent partial differential equations. The motion of spatial grid points is governed by a moving mesh PDE (MMPDE) in which a mesh relaxation time τis employed as a regularization parameter. Previously reported results on MMPDEs have invariably employed a constant value of the parameter τ. We extend this standard approach by incorporating a variable relaxation time that is calculated adaptively alongside the solution in order to regularize the mesh appropriately throughout a computation. We focus on singular problems involving self-similar blow-up to demonstrate the advantages of using a variable relaxation ime over a fixed one in terms of accuracy, stability and efficiency.

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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