H(curl)-elliptic 问题的自适应混合内部惩罚非连续伽勒金方法的收敛性

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED Computers & Mathematics with Applications Pub Date : 2024-07-16 DOI:10.1016/j.camwa.2024.06.020
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引用次数: 0

摘要

本文研究了 H(curl)-椭圆问题的自适应混合内部惩罚非连续 Galerkin 方法的收敛性。首先,我们通过引入一个新的中间变量得到了 H(curl)-椭圆问题的混合模型。然后,我们讨论了基于内部惩罚非连续 Galerkin 近似的连续变量问题和离散变量问题。接着,我们构建了相应的后验误差指标,并证明了能量误差与比例误差指标之和的收缩。最后,我们通过一些数值实验证实并说明了理论结果。
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Convergence of adaptive mixed interior penalty discontinuous Galerkin methods for H(curl)-elliptic problems

In this paper, we study the convergence of adaptive mixed interior penalty discontinuous Galerkin method for H(curl)-elliptic problems. We first get the mixed model of H(curl)-elliptic problem by introducing a new intermediate variable. Then we discuss the continuous variational problem and discrete variational problem, which based on interior penalty discontinuous Galerkin approximation. Next, we construct the corresponding posteriori error indicator, and prove the contraction of the summation of the energy error and the scaled error indicator. At last, we confirm and illustrate the theoretical result through some numerical experiments.

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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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