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A note on the convergence of multigrid methods for the Riesz-space equation and an application to image deblurring

2024/03/25 by Danyal Ahmad, Marco Donatelli, Ahmad, Danyal +7
Computer Science · Engineering · Mathematics · #FOS: Mathematics #Medical Image Segmentation Techniques #Numerical Analysis (math.NA) #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques

paper · pdf · doi:10.48550/arxiv.2403.16352

openalex publication_date 2024/03/25 · openalex created_date 2024/03/27 · openalex updated_date 2026/08/04

Abstract

In the past decades, a remarkable amount of research has been carried out regarding fast solvers for large linear systems resulting from various discretizations of fractional differential equations (FDEs). In the current work, we focus on multigrid methods for a Riesz-space FDE whose theoretical convergence analysis of such multigrids is currently limited to the two-grid method. Here we provide a detailed theoretical convergence study in the case of V-cycle and W-cycle. Moreover, we discuss its use combined with a band approximation and we compare the result with both τ and circulant preconditionings. The numerical tests include 2D problems as well as the extension to the case of a Riesz-FDE with variable coefficients. Finally, we apply the best-performing method to an image deblurring problem with Tikhonov regularization.

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