5. Adaptive space-time isogeometric analysis for parabolic evolution problems

U. Langer, S. Matculevich, S. Repin
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引用次数: 7

Abstract

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.
5. 抛物演化问题的自适应时空等几何分析
本文研究抛物型初始边值问题的局部稳定时空IgA逼近。最初,类似的方案(但与全局网格参数加权)由U. Langer, M. Neumueller和S. Moore(2016)提出并研究。目前的工作设计了该方案的局部版本,并建立了相应双线性形式的强制、有界性和一致性。利用这些基本性质和相应的b样条近似误差估计,我们证明了由新格式生成的时空IgA解满足渐近最优先验离散化误差估计。本文提出的自适应网格细化算法是基于S. Repin(2002)和U. Langer, S. Matculevich和S. Repin(2017)在早期工作中严格研究的功能类型的后检误差估计。第二部分的数值结果证实了该方法对全局逼近误差收敛性的改进。此外,这些结果也证实了误差主体产生的误差指标的局部有效性。
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