An exponential spectral deferred correction method for multidimensional parabolic problems

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematics and Computers in Simulation Pub Date : 2025-02-01 Epub Date: 2024-09-10 DOI:10.1016/j.matcom.2024.09.003
Yurun Wang, Fei Liu
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Abstract

We present some efficient algorithms based on an exponential time differencing spectral deferred correction (ETDSDC) method for multidimensional second and fourth-order parabolic problems with non-periodic boundary conditions including Dirichlet, Neumann, Robin boundary conditions. Similar to the Fourier spectral method for periodic problems, the key to the efficiency of our algorithms is to construct diagonal discrete linear operators via Legendre–Galerkin methods with Fourier-like basis functions. In combination with the ETDSDC scheme, the proposed methods are spectrally accurate in space and up to 10th-order accurate in time (as shown in this work). We demonstrate the high-order of convergence and efficiency of our algorithms in solving parabolic equations through a series of two-dimensional and three-dimensional examples including Ginzburg–Landau and Allen–Cahn equations.

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多维抛物线问题的指数谱延迟修正法
我们提出了一些基于指数时间差谱延迟修正(ETDSDC)方法的高效算法,用于处理具有非周期性边界条件(包括迪里夏特、诺伊曼和罗宾边界条件)的多维二阶和四阶抛物线问题。与周期性问题的傅立叶谱方法类似,我们算法效率的关键在于通过 Legendre-Galerkin 方法与类似傅立叶的基函数构建对角离散线性算子。结合 ETDSDC 方案,所提出的方法在空间上具有光谱精度,在时间上具有高达 10 阶的精度(如本研究所示)。我们通过一系列二维和三维示例(包括 Ginzburg-Landau 和 Allen-Cahn 方程)证明了我们的算法在求解抛物方程时的高收敛性和高效性。
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来源期刊
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
期刊介绍: The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles. Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO. Topics covered by the journal include mathematical tools in: •The foundations of systems modelling •Numerical analysis and the development of algorithms for simulation They also include considerations about computer hardware for simulation and about special software and compilers. The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research. The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
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