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Output-based error estimation and mesh adaptation for variational multiscale methods

机译:变分多尺度方法的基于输出的误差估计和网格自适应

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Duality-based approaches to estimate errors for functional output quantities require the solution of an auxiliary dual problem. This dual solution must be approximated in a richer function space than the one used for the original problem of interest. A novel strategy for dual enrichment is proposed based on variational multiscale (VMS) methods and an error representation for output quantities for VMS methods is derived. An implicit error estimate based on the derived error representation is compared to a recently developed explicit error estimate for VMS methods. It is shown that while both estimates are identical with respect to calculating the total output error, the newly derived estimate provides superior local indicators for use in driving mesh adaptivity. (C) 2017 Elsevier B.V. All rights reserved.
机译:基于对偶性的方法来估计功能输出量的误差需要解决辅助对偶问题。这个对偶解必须比用于最初关注的问题的函数空间更丰富。提出了一种基于变分多尺度(VMS)方法的双重富集新策略,并推导了VMS方法输出量的误差表示。将基于派生错误表示的隐式错误估计与最近开发的VMS方法显式错误估计进行比较。结果表明,尽管两个估计在计算总输出误差方面是相同的,但新推导的估计为驱动网格自适应提供了优越的局部指标。 (C)2017 Elsevier B.V.保留所有权利。

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