In this paper, we design the first residual type a posteriori error estimator for mixed interior penalty discontinuous Galerkin method for the H(curl)-elliptic problems. Then we prove that our residual based a posteriori error indicator is both reliable and efficient. At last, we present some numerical experiments to validate the performance of the indicator within an adaptive mesh refinement procedure.
翻译:在本文中, 我们设计了第一个剩余类型, 用于混合内刑不连续的 Galerkin 方法的事后误差估计器, 用于处理 H( curl) 智能问题。 然后我们证明我们基于后误差指标的剩余部分既可靠又有效。 最后, 我们提出了一些数字实验, 以验证该指标在适应性网格改进程序中的性能 。