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The saturation assumption yields optimal convergence of two-level adaptive BEM

机译:饱和度假设可产生两级自适应BEM的最佳收敛

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摘要

We consider the convergence of adaptive BEM for weakly-singular and hypersingular integral equations associated with the Laplacian and the Helmholtz operator in 2D and 3D. The local mesh-refinement is driven by some two-level error estimator. We show that the adaptive algorithm drives the underlying error estimates to zero. Moreover, we prove that the saturation assumption already implies linear convergence of the error with optimal algebraic rates.
机译:我们考虑了与2D和3D中的Laplacian和Helmholtz算子相关的弱奇异和超奇异积分方程的自适应BEM的收敛性。局部网格细化由一些两级误差估计器驱动。我们表明自适应算法将基础误差估计驱动为零。此外,我们证明了饱和度假设已经暗示了具有最佳代数率的误差的线性收敛。

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