一类求解半线性抛物界面问题的有效多重网格法

IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED
Fan Chen , Ming Cui , Chenguang Zhou
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引用次数: 0

摘要

本文提出并分析了求解半线性抛物界面问题的一种有效的多重网格法,即多层修正法。该方法的核心思想是,在每个时间步,将半线性椭圆界面问题的解转化为多层空间序列中每一层的同尺度线性椭圆界面问题的解和新定义的低维增广子空间上的半线性椭圆界面问题的解。通过分析该方法的代数误差估计,我们设计的方法在中间网格层只迭代一步,这使得我们的方法比Xu等人(2022a)的工作效率更高,同时又不失精度。此外,在理论分析方面,我们提出了一种新的分析方法来推导收敛阶估计。数值实验验证了该方法的精度和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A type of efficient multigrid method for semilinear parabolic interface problems
This paper proposes and analyzes a type of efficient multigrid method, which is called multilevel correction method, for solving semilinear parabolic interface problems. The core idea of this method is that, at each time step, the semilinear elliptic interface problem’s solution is transformed into the same-scale linear elliptic interface problem’s solution in each level of multilevel space sequence and the semilinear elliptic interface problem’s solution on a newly defined low dimensional augmented subspace. Through analyzing the algebraic error estimate of the method, we design the method to iterate only one step in the intermediate grid layer, which makes our method more efficient than the work of Xu et al. (2022a) without losing accuracy. In addition, in the aspect of theoretical analysis, we present a new technique of analysis to derive the convergence order estimates. Numerical experiments are conducted to validate the precision and effectiveness of our proposed method.
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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