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...

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Main Authors: Wen-Ning Sun, Mei Qin
Format: Article
Language:English
Published: AIMS Press 2024-11-01
Series:AIMS Mathematics
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Online Access:https://www.aimspress.com/article/doi/10.3934/math.20241614
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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.
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issn 2473-6988
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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