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CONVERGENCE OF ADAPTIVE BOUNDARY ELEMENT METHODS

机译:自适应边界元方法的收敛性

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In many applications, adaptive mesh-refinement is observed to be an efficient tool for the numerical solution of partial differential equations and integral equations. Convergence of adaptive schemes to the correct solution, however, is so far only understood for certain kind of differential equations. In general, it cannot be excluded that the adaptive algorithm computes a convergent sequence of discrete approximations with a limit which is not the correct solution. This work proposes a feedback loop which guarantees the convergence of the computed discrete approximations to the correct solution. Although stated for Symm's integral equation of the first kind, the main part of this work is written for a general audience in the context of weak forms as Riesz representations in Hilbert spaces. Numerical examples illustrate the adaptive strategies.
机译:在许多应用中,自适应网格细化被认为是偏微分方程和积分方程数值解的有效工具。然而,到目前为止,仅对于某些类型的微分方程才了解自适应方案收敛到正确解的可能性。通常,不能排除自适应算法以不正确的解决方案为极限来计算离散逼近的收敛序列。这项工作提出了一个反馈回路,该回路可确保将计算出的离散近似值收敛到正确的解。尽管针对第一类Symm积分方程进行了说明,但该作品的主要部分是针对普通观众编写的,它们是希尔伯特空间中的Riesz表示形式的弱形式。数值例子说明了自适应策略。

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