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arXiv 1404.3147math.NAcs.NA
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后验和先验误差估计:二次有限元法用于椭圆障碍问题

A Posteriori and A Priori Error Estimates of Quadratic Finite Element Method for Elliptic Obstacle Problem

Indian Institute of Science(印度科学学院)

Thirupathi Gudi, Kamana Porwal

AI总结:

本文基于残差推导了二次有限元法用于椭圆障碍问题的后验误差估计,并在假设接触集不退化为曲线的情况下,推导了先验误差估计,展示了该方法的最优收敛性。

摘要:

本文推导了用于椭圆障碍问题的二次有限元法的残差基后验误差估计器。该估计器包含问题数据、离散解以及与障碍约束相关的拉格朗日乘子的残差。已推导了拉格朗日乘子的先验误差估计,并在接触集不退化为曲线的假设下,当数据和解足够光滑时,推导了最优阶先验误差估计。数值实验表明,自适应有限元法在满足接触集条件的模型问题上表现出最优阶收敛性,证明了二次有限元法在障碍问题中的最优性能。

英文摘要:

A residual based {\em a posteriori} error estimator is derived for a quadratic finite element method (fem) for the elliptic obstacle problem. The error estimator involves various residuals consisting the data of the problem, discrete solution and a Lagrange multiplier related to the obstacle constraint. {\em A priori} error estimates for the Lagrange multiplier have been derived and further under an assumption that the contact set does not degenerate to a curve in any part of the domain, optimal order {\em a priori} error estimates have been derived whenever the data and the solution are sufficiently regular, precisely, under the sufficient conditions required for quadratic fem in the case of linear elliptic problem. The numerical experiments of adaptive fem for a model problem satisfying the above condition on contact set show optimal order convergence. This demonstrates that the quadratic fem for obstacle problem can exhibit optimal performance.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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