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Guaranteed error bounds and local indicators for adaptive solvers using stabilised space-time IgA approximations to parabolic problems

机译:使用抛物线问题的稳定时空IgA逼近为自适应解算器保证的误差范围和局部指标

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The paper is concerned with space-time IgA approximations to parabolic initial-boundary value problems. We deduce guaranteed and fully computable error bounds adapted to special features of such type of approximations and investigate their efficiency. The derivation of error estimates is based on the analysis of the corresponding integral identity and exploits purely functional arguments in the maximal parabolic regularity setting. The estimates are valid for any approximation from the admissible (energy) class and do not contain mesh-dependent constants. They provide computable and fully guaranteed error bounds for the norms arising in stabilised space-time approximations. Furthermore, a posterior error estimates yield efficient error indicators enhancing the performance of adaptive solvers and generate very successful mesh refinement procedures. Theoretical results are verified with a series of numerical examples, in which approximate solutions and the corresponding fluxes are recovered by IgA techniques. The numerical results confirm the high efficiency of the method in the context of the two main goals of a posteriori error analysis: estimation of global errors and mesh adaptation. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文关注的是抛物线初边值问题的时空IgA近似。我们推导了适用于此类近似特征的有保证且完全可计算的误差范围,并研究了它们的效率。误差估计的推导基于对相应积分同一性的分析,并利用最大抛物线正则性设置中的纯函数自变量。该估计值对于可允许的(能量)类的任何近似值均有效,并且不包含与网格相关的常数。它们为稳定的时空近似中产生的范数提供了可计算且完全有保证的误差范围。此外,后验误差估计会产生有效的误差指标,从而提高自适应求解器的性能并生成非常成功的网格细化过程。通过一系列数值示例验证了理论结果,其中通过IgA技术回收了近似解和相应的通量。数值结果证实了在后验误差分析的两个主要目标的背景下该方法的高效率:整体误差的估计和网格自适应。 (C)2019 Elsevier Ltd.保留所有权利。

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