An improved fast approximation to two-sided variable-order space-fractional diffusion equation and its preconditioning

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-02-10 DOI:10.1016/j.cam.2025.116555
Xiaofeng Guo , Jianyu Pan
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Abstract

For two-sided variable-order space-fractional diffusion equation, due to the impact of variable fractional order, the discretized stiffness matrix no longer holds Toeplitz-like structure, which brings great challenge to develop efficient solvers. To overcome the difficulty, a fast approximation scheme was proposed in Jia et al. (2021). The main aim of this paper is to propose an improved fast scheme by approximating the stiffness matrix via Chebyshev interpolation technique. Moreover, a block diagonal approximate inverse preconditioner is developed for the proposed scheme to accelerate the convergence of Krylov subspace iteration method. Both theoretical and numerical results demonstrate that the new fast scheme can attain desired solution accuracy with much fewer involved Toeplitz-like approximation terms and hence is evidently more efficient. The effectiveness of the developed preconditioner is also validated.
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双面变阶空间分数扩散方程的改进型快速近似及其预处理
对于双面变阶空间-分数阶扩散方程,由于变阶的影响,离散刚度矩阵不再具有toeplitz -类结构,这给开发高效的求解方法带来了很大的挑战。为了克服这一困难,Jia等人(2021)提出了一种快速逼近方案。本文的主要目的是通过切比雪夫插值技术逼近刚度矩阵,提出一种改进的快速方案。此外,为了加快Krylov子空间迭代法的收敛速度,提出了一种块对角近似逆预条件。理论和数值结果都表明,新的快速格式可以在较少的类toeplitz近似项的情况下获得理想的解精度,从而显着提高了效率。并对所研制的预调节器的有效性进行了验证。
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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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