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Error estimates for the postprocessing approach applied to Neumann boundary control problems in polyhedral domains

机译:应用于多面体域中Neumann边界控制问题的后处理方法的错误估计

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This article deals with error estimates for the finite element approximation of Neumann boundary control problems in polyhedral domains. Special emphasis is put on singularities contained in the solution, as the computational domain has edges and corners. Thus, we use regularity results in weighted Sobolev spaces, which allow to derive sharp convergence results for locally refined meshes. The first main result is an optimal error estimate for linear finite element approximations on the boundary in the L-2(Gamma)-norm for both quasi-uniform and isotropically refined meshes. Later, the approximations of Neumann control problems using the postprocessing approach are investigated, that is, first a fully discrete solution with piecewise linear state and co-state, and piecewise constant controls, is computed and afterwards, an improved control by a pointwise evaluation of the discrete optimality condition is obtained. It is shown that quadratic convergence up to logarithmic factors is achieved for this control approximation if either the singularities are weak enough or the sequence of meshes is refined appropriately.
机译:本文涉及诸如多面体域中Neumann边界控制问题的有限元近似的错误估计。特别强调解决方案中包含的奇点,因为计算领域具有边缘和角落。因此,我们使用规则性导致加权SoboLev空格,这允许派对局部精制网格获得急剧收敛结果。第一主要结果是L-2(γ)中的边界上的线性有限元近似的最佳误差估计 - 对于准均匀和各向同性地精制网格。之后,研究了Neumann控制问题的近似使用后处理方法,即首先具有分段线性状态和共同状态的完全离散解决方案,以及分段恒定控制,之后,通过点播评估改善了控制获得离散的最优性条件。结果表明,如果奇点较弱或适当地精制网格序列,则对该控制近似实现对数因子的二次收敛达到对数因子。

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