On maximum residual block Kaczmarz method for solving large consistent linear systems
In this paper, we propose two block variants of the Kaczmarz method for solving large-scale consistent linear equations $ Ax = b $. The first method, named the maximum residual block Kaczmarz (denoted as MRBK) method, first partitions the coefficient matrix, and then captures the largest block in th...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2024-11-01
|
Series: | AIMS Mathematics |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/math.20241614 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832590739009175552 |
---|---|
author | Wen-Ning Sun Mei Qin |
author_facet | Wen-Ning Sun Mei Qin |
author_sort | Wen-Ning Sun |
collection | DOAJ |
description | In this paper, we propose two block variants of the Kaczmarz method for solving large-scale consistent linear equations $ Ax = b $. The first method, named the maximum residual block Kaczmarz (denoted as MRBK) method, first partitions the coefficient matrix, and then captures the largest block in the residual vector during each block iteration to ensure that it is eliminated first. Simultaneously, in order to avoid the pseudo-inverse calculation of the MRBK method during block iteration and improve the convergence speed, we further propose the maximum residual average block Kaczmarz method. This method completes the iterative process by projecting the current solution vector onto each row of the constrained subset of the matrix $ A $ and averaging it with different extrapolation steps. We analyze and prove the deterministic convergence of both methods. Numerical experiments validate our theory and show that our proposed methods are superior to some other block Kaczmarz methods. |
format | Article |
id | doaj-art-401513432d92440788f8c50dab91e865 |
institution | Kabale University |
issn | 2473-6988 |
language | English |
publishDate | 2024-11-01 |
publisher | AIMS Press |
record_format | Article |
series | AIMS Mathematics |
spelling | doaj-art-401513432d92440788f8c50dab91e8652025-01-23T07:53:24ZengAIMS PressAIMS Mathematics2473-69882024-11-01912338433386010.3934/math.20241614On maximum residual block Kaczmarz method for solving large consistent linear systemsWen-Ning Sun0Mei Qin1College of Science, University of Shanghai for Science and Technology, Shanghai 200093, ChinaCollege of Science, University of Shanghai for Science and Technology, Shanghai 200093, ChinaIn this paper, we propose two block variants of the Kaczmarz method for solving large-scale consistent linear equations $ Ax = b $. The first method, named the maximum residual block Kaczmarz (denoted as MRBK) method, first partitions the coefficient matrix, and then captures the largest block in the residual vector during each block iteration to ensure that it is eliminated first. Simultaneously, in order to avoid the pseudo-inverse calculation of the MRBK method during block iteration and improve the convergence speed, we further propose the maximum residual average block Kaczmarz method. This method completes the iterative process by projecting the current solution vector onto each row of the constrained subset of the matrix $ A $ and averaging it with different extrapolation steps. We analyze and prove the deterministic convergence of both methods. Numerical experiments validate our theory and show that our proposed methods are superior to some other block Kaczmarz methods.https://www.aimspress.com/article/doi/10.3934/math.20241614consistent linear systemmaximum residual block kaczmarzmaximum residual average block kaczmarzfree pseudo-inverseconvergence property |
spellingShingle | Wen-Ning Sun Mei Qin On maximum residual block Kaczmarz method for solving large consistent linear systems AIMS Mathematics consistent linear system maximum residual block kaczmarz maximum residual average block kaczmarz free pseudo-inverse convergence property |
title | On maximum residual block Kaczmarz method for solving large consistent linear systems |
title_full | On maximum residual block Kaczmarz method for solving large consistent linear systems |
title_fullStr | On maximum residual block Kaczmarz method for solving large consistent linear systems |
title_full_unstemmed | On maximum residual block Kaczmarz method for solving large consistent linear systems |
title_short | On maximum residual block Kaczmarz method for solving large consistent linear systems |
title_sort | on maximum residual block kaczmarz method for solving large consistent linear systems |
topic | consistent linear system maximum residual block kaczmarz maximum residual average block kaczmarz free pseudo-inverse convergence property |
url | https://www.aimspress.com/article/doi/10.3934/math.20241614 |
work_keys_str_mv | AT wenningsun onmaximumresidualblockkaczmarzmethodforsolvinglargeconsistentlinearsystems AT meiqin onmaximumresidualblockkaczmarzmethodforsolvinglargeconsistentlinearsystems |