Accelerated Kaczmarz methods via randomized sketch techniques for solving consistent linear systems

Fuente: arXiv
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Autori principali: Jiang, Haochen, Liu, Dongdong, Wu, Xianping, Yang, Xu
Natura: Preprint
Pubblicazione: 2025
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author Jiang, Haochen
Liu, Dongdong
Wu, Xianping
Yang, Xu
author_facet Jiang, Haochen
Liu, Dongdong
Wu, Xianping
Yang, Xu
contents Motivated by the randomized sketch to solve a variety of problems in scientific computation, we improve both the maximal weighted residual Kaczmarz method and the randomized block average Kaczmarz method using two new randomized sketch techniques. Besides, convergence analyses of the proposed methods are provided. Furthermore, we establish an upper bound for the discrepancy between the numerical solutions obtained via the proposed methods and those derived from the original approaches. Numerical experiments demonstrate that the new methods perform better than the existing ones in terms of the running time with the same accuracy.
format Preprint
id arxiv_https___arxiv_org_abs_2511_12885
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Accelerated Kaczmarz methods via randomized sketch techniques for solving consistent linear systems
Jiang, Haochen
Liu, Dongdong
Wu, Xianping
Yang, Xu
Numerical Analysis
Motivated by the randomized sketch to solve a variety of problems in scientific computation, we improve both the maximal weighted residual Kaczmarz method and the randomized block average Kaczmarz method using two new randomized sketch techniques. Besides, convergence analyses of the proposed methods are provided. Furthermore, we establish an upper bound for the discrepancy between the numerical solutions obtained via the proposed methods and those derived from the original approaches. Numerical experiments demonstrate that the new methods perform better than the existing ones in terms of the running time with the same accuracy.
title Accelerated Kaczmarz methods via randomized sketch techniques for solving consistent linear systems
topic Numerical Analysis
url https://arxiv.org/abs/2511.12885