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Convergence rates and classification for one-dimensional finite-element meshes

机译:一维有限元网格的收敛速度和分类

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摘要

Recent advances in adaptive gridding strategies have highlighted the need to consider the finite-element method on irregular meshes. In this paper, we consider irregular grids in the context of refinement paths, i.e. sequences of grids such that h0. For a two-point boundary value problem with piecewise linear elements for which O(h2) convergence is expected in the L2 sense, we demonstrate a family of grids that give||u - uh||L2 Chp where p can take any value in the interval [2,2.5]. Here, as usual, h is the mesh size and u and uh are the actual and approximate solutions. Despite this apparent superconvergence, these grids actually define a suboptimal refinement path. This is due to the high degree of irregularity of the meshes. In this situation, it is shown that the classical h-convergence rate is not the appropriate rate to analyze. We also propose a simple classification that discriminates when this behaviour can and cannot occur.
机译:自适应网格化策略的最新进展凸显了在不规则网格上考虑有限元方法的必要性。在本文中,我们在细化路径的范围内考虑不规则网格,即h0的网格序列。对于具有分段线性元素的两点边值问题,期望在L2意义上实现O(h2)收敛,我们证明了给出|| u-uh || L2 Chp的栅格族,其中p可以取任何值。间隔[2,2.5]。在这里,像往常一样,h是网格大小,而u和uh是实际和近似解。尽管存在这种明显的超收敛性,但这些网格实际上定义了次优的细化路径。这是由于网格的高度不规则性。在这种情况下,表明经典的h收敛速率不是分析的合适速率。我们还提出了一种简单的分类方法,该方法可以区分何时可以发生此行为和不可以发生此行为。

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