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arXiv 1807.05950math.NAcs.NA
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自适应空间-时间等几何分析用于抛物型演化问题

Adaptive space-time isogeometric analysis for parabolic evolution problems

Ulrich Langer, Svetlana Matculevich, Sergey Repin

AI总结:

本文提出了一种自适应空间-时间等几何分析方法,用于解决抛物型初始边界值问题,通过建立双线性形式的 coercivity、boundedness 和 consistency,证明了该方法在渐近最优的离散误差估计。

摘要:

本文关注于初边值问题的抛物型类型局部稳定空间-时间 IgA 近似。最初,类似的方案(但加权以全局网格参数)由 U. Langer, M. Neumueller 和 S. Moore (2016) 提出并研究。当前的工作提出了一种该方案的局部版本,并建立了相应双线性形式的 coercivity、boundedness 和 consistency。利用这些基本性质以及 B-splines 的相应近似误差估计,我们证明了由新方案生成的空间-时间 IgA 解满足渐近最优的 a priori 离散误差估计。本文提出的自适应网格细化算法基于后验误差估计,该估计在 earlier works by S. Repin (2002) 和 U. Langer, S. Matculevich 和 S. Repin (2017) 中已被严格研究。论文第二部分展示的数值结果证实了全局近似误差的改进收敛性。此外,这些结果也证实了由误差上界产生的误差指示器的局部有效性。

英文摘要:

The paper is concerned with locally stabilized space-time IgA approximations to initial boundary value problems of the parabolic type. Originally, similar schemes (but weighted with a global mesh parameter) was presented and studied by U. Langer, M. Neumueller, and S. Moore (2016). The current work devises a localised version of this scheme and establishes coercivity, boundedness, and consistency of the corresponding bilinear form. Using these fundamental properties together with the corresponding approximation error estimates for B-splines, we show that the space-time IgA solutions generated by the new scheme satisfy asymptotically optimal a priori discretization error estimates. The adaptive mesh refinement algorithm proposed in the paper is based on a posteriori error estimates of the functional type that has been rigorously studied in earlier works by S. Repin (2002) and U. Langer, S. Matculevich, and S. Repin (2017). Numerical results presented in the second part of the paper confirm the improved convergence of global approximation errors. Moreover, these results also confirm the local efficiency of the error indicators produced by the error majorants.

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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