一般多边形网格上非线性抛物问题的双网格虚拟元素法误差分析

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2024-11-09 DOI:10.1016/j.cam.2024.116369
Xiaohui Wu , Yanping Chen , Yang Wang
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引用次数: 0

摘要

本文提出了一种解决非线性抛物线问题的双网格虚拟元素方法。非线性项 f(u) 通过 L2 正交投影近似,细网格离散形式通过牛顿迭代增强。我们首先证明了完全离散问题的 H1 准则误差估计。此外,双网格法在 L2 和 H1 规范下的先验误差估计分别达到了最优阶 O(hk+1+H2k+τ) 和 O(hk+H2k+τ)。最后,我们用两个数值实例验证了我们的双网格算法,这与我们的理论结果是一致的。
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Error analysis of two-grid virtual element method for nonlinear parabolic problems on general polygonal meshes
In this paper, we present a two-grid virtual element method to solve the nonlinear parabolic problem. The nonlinear terms f(u) are approximated by using the L2 orthogonal projection, and the fine-grid discrete form is enhanced by Newton iteration. We first prove the H1-norm error estimate for the fully discrete problem. Furthermore, the a priori error estimates of two-grid method in the L2- and H1-norms achieve the optimal order O(hk+1+H2k+τ) and O(hk+H2k+τ), respectively. Finally, we used two numerical examples to validate our two-grid algorithm, which is consistent with our theoretical results.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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Editorial Board Fast convergence rates and trajectory convergence of a Tikhonov regularized inertial primal–dual dynamical system with time scaling and vanishing damping Developing and analyzing a FDTD method for simulation of metasurfaces An immersed interface neural network for elliptic interface problems A stochastic Bregman golden ratio algorithm for non-Lipschitz stochastic mixed variational inequalities with application to resource share problems
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