A hybrid singular value thresholding algorithm with diagonal-modify for low-rank matrix recovery

In this paper, a new hybrid singular value thresholding with diagonal-modify algorithm based on the augmented Lagrange multiplier (ALM) method was proposed for low-rank matrix recovery, in which only part singular values were treated by a hybrid threshold operator with diagonal-update, and which all...

Full description

Saved in:
Bibliographic Details
Main Authors: Ruiping Wen, Liang Zhang, Yalei Pei
Format: Article
Language:English
Published: AIMS Press 2024-11-01
Series:Electronic Research Archive
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2024274
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832590750855987200
author Ruiping Wen
Liang Zhang
Yalei Pei
author_facet Ruiping Wen
Liang Zhang
Yalei Pei
author_sort Ruiping Wen
collection DOAJ
description In this paper, a new hybrid singular value thresholding with diagonal-modify algorithm based on the augmented Lagrange multiplier (ALM) method was proposed for low-rank matrix recovery, in which only part singular values were treated by a hybrid threshold operator with diagonal-update, and which allowed the algorithm to make use of simple arithmetic operation and keep the computational cost of each iteration low. The new algorithm decreased the complexity of the singular value decomposition and shortened the computing time. The convergence of the new algorithm was discussed. Finally, numerical experiments shown that the new algorithm greatly improved the solving efficiency of a matrix recovery problem and saved the calculation cost, and its effect was obviously better than that of the other algorithms mentioned in experiments.
format Article
id doaj-art-72975148875042b88f8e0818752d9c8f
institution Kabale University
issn 2688-1594
language English
publishDate 2024-11-01
publisher AIMS Press
record_format Article
series Electronic Research Archive
spelling doaj-art-72975148875042b88f8e0818752d9c8f2025-01-23T07:53:00ZengAIMS PressElectronic Research Archive2688-15942024-11-0132115926594210.3934/era.2024274A hybrid singular value thresholding algorithm with diagonal-modify for low-rank matrix recoveryRuiping Wen0Liang Zhang1Yalei Pei2Shanxi Key Laboratory for Intelligent Optimization Computing and Block-chain Technology, Taiyuan Normal University, Jinzhong 030619, ChinaSchool of Mathematics and Statistics, Taiyuan Normal University, Jinzhong 030619, ChinaSchool of Mathematics and Statistics, Taiyuan Normal University, Jinzhong 030619, ChinaIn this paper, a new hybrid singular value thresholding with diagonal-modify algorithm based on the augmented Lagrange multiplier (ALM) method was proposed for low-rank matrix recovery, in which only part singular values were treated by a hybrid threshold operator with diagonal-update, and which allowed the algorithm to make use of simple arithmetic operation and keep the computational cost of each iteration low. The new algorithm decreased the complexity of the singular value decomposition and shortened the computing time. The convergence of the new algorithm was discussed. Finally, numerical experiments shown that the new algorithm greatly improved the solving efficiency of a matrix recovery problem and saved the calculation cost, and its effect was obviously better than that of the other algorithms mentioned in experiments.https://www.aimspress.com/article/doi/10.3934/era.2024274low-rank matrix recoveryaugmented lagrange multiplierdiagonal-modifyhybrid singular value threshold
spellingShingle Ruiping Wen
Liang Zhang
Yalei Pei
A hybrid singular value thresholding algorithm with diagonal-modify for low-rank matrix recovery
Electronic Research Archive
low-rank matrix recovery
augmented lagrange multiplier
diagonal-modify
hybrid singular value threshold
title A hybrid singular value thresholding algorithm with diagonal-modify for low-rank matrix recovery
title_full A hybrid singular value thresholding algorithm with diagonal-modify for low-rank matrix recovery
title_fullStr A hybrid singular value thresholding algorithm with diagonal-modify for low-rank matrix recovery
title_full_unstemmed A hybrid singular value thresholding algorithm with diagonal-modify for low-rank matrix recovery
title_short A hybrid singular value thresholding algorithm with diagonal-modify for low-rank matrix recovery
title_sort hybrid singular value thresholding algorithm with diagonal modify for low rank matrix recovery
topic low-rank matrix recovery
augmented lagrange multiplier
diagonal-modify
hybrid singular value threshold
url https://www.aimspress.com/article/doi/10.3934/era.2024274
work_keys_str_mv AT ruipingwen ahybridsingularvaluethresholdingalgorithmwithdiagonalmodifyforlowrankmatrixrecovery
AT liangzhang ahybridsingularvaluethresholdingalgorithmwithdiagonalmodifyforlowrankmatrixrecovery
AT yaleipei ahybridsingularvaluethresholdingalgorithmwithdiagonalmodifyforlowrankmatrixrecovery
AT ruipingwen hybridsingularvaluethresholdingalgorithmwithdiagonalmodifyforlowrankmatrixrecovery
AT liangzhang hybridsingularvaluethresholdingalgorithmwithdiagonalmodifyforlowrankmatrixrecovery
AT yaleipei hybridsingularvaluethresholdingalgorithmwithdiagonalmodifyforlowrankmatrixrecovery