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arXiv 1606.04660math.NAcs.NA
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二维对流主导扩散方程变分多尺度稳定化方法的误差分析

Error analysis of a variational multiscale stabilization for convection-dominated diffusion equations in 2d

Universität Bonn(波恩大学)

Guanglian Li, Daniel Peterseim, Mira Schedensack

AI总结:

本文提出一种稳定化的拟最优Petrov-Galerkin方法,用于求解奇异扰动对流扩散问题,通过变分多尺度方法进行稳定化,证明了细尺度校正器的指数衰减和局部化特性,保证了任意Péclet数下的稳定性与近优收敛性。

摘要:

我们基于变分多尺度方法,为奇异扰动对流扩散问题提出了一个稳定化的拟最优Petrov-Galerkin方法。该稳定化方法采用标准有限元试空间和基于预计算细尺度校正器的问题依赖测试空间。这些校正器的指数衰减及其局部化到局部补丁问题(依赖于速度场方向和奇异扰动参数)得到严格证明。在适度假设下,这种稳定化保证了任意网格Péclet数下,粗糙网格上的稳定性与近优收敛性,代价是额外的跨元素通信。

英文摘要:

We formulate a stabilized quasi-optimal Petrov-Galerkin method for singularly perturbed convection-diffusion problems based on the variational multiscale method. The stabilization is of Petrov-Galerkin type with a standard finite element trial space and a problem-dependent test space based on pre-computed fine-scale correctors. The exponential decay of these correctors and their localisation to local patch problems, which depend on the direction of the velocity field and the singular perturbation parameter, is rigorously justified. Under moderate assumptions, this stabilization guarantees stability and quasi-optimal rate of convergence for arbitrary mesh Péclet numbers on fairly coarse meshes at the cost of additional inter-element communication.

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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