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Self-adaptive hp finite element method with iterative mesh truncation technique accelerated with Adaptive Cross Approximation

机译:自适应交叉逼近加速的带有迭代网格截断技术的自适应hp有限元方法

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摘要

ABSTRACTududTo alleviate the computational bottleneck of a powerful two-dimensional self-adaptive hp finite element method (FEM) for the analysis of open region problems, which uses an iterative computation of the Integral Equation over a fictitious boundary for truncating the FEM domain, we propose the use of Adaptive Cross Approximation (ACA) to effectively accelerate the computation of the Integral Equation. It will be shown that in this context ACA exhibits a robust behavior, yields good accuracy and compression levels up to 90%, and provides a good fair control of the approximants, which is a crucial advantage for hp adaptivity. Theoretical and empirical results of performance (computational complexity) comparing the accelerated and non-accelerated versions of the method are presented.udSeveral canonical scenarios are addressed to resemble the behavior of ACA with h, p and hp adaptive strategies, and higher order methods in general.
机译:为缓解开放区域问题的强大二维自适应hp有限元方法(FEM)的计算瓶颈,该方法在虚构边界上使用积分方程的迭代计算来截断FEM在领域中,我们建议使用自适应交叉逼近(ACA)有效地加速积分方程的计算。结果表明,在这种情况下,ACA表现出强大的性能,可产生高达90%的精确度和压缩水平,并对近似值提供良好的公平控制,这对hp适应性至关重要。给出了比较该方法的加速和非加速版本的性能(计算复杂性)的理论和经验结果。 ud针对几种典型方案,以类似于h,p和hp自适应策略的ACA行为,并在其中采用了更高阶的方法一般。

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