{"title":"An improved fast approximation to two-sided variable-order space-fractional diffusion equation and its preconditioning","authors":"Xiaofeng Guo , Jianyu Pan","doi":"10.1016/j.cam.2025.116555","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50226,"journal":{"name":"Journal of Computational and Applied Mathematics","volume":"465 ","pages":"Article 116555"},"PeriodicalIF":2.1000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational and Applied Mathematics","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0377042725000706","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
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.
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.
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