AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (301.8 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Iterative methods to solve the constrained Sylvester equation

Siting YuJingjing Peng( )Zengao TangZhenyun Peng
College of Mathematics and Computational Science, Guilin University of Electronic Technology, Guilin 541004, China
Show Author Information

Abstract

In this paper, the multiple constraint least squares solution of the Sylvester equation A X + X B = C is discussed. The necessary and sufficient conditions for the existence of solutions to the considered matrix equation are given. Noting that the alternating direction method of multipliers (ADMM) is a one-step iterative method, a multi-step alternating direction method of multipliers (MSADMM) to solve the considered matrix equation is proposed and some convergence results of the proposed algorithm are proved. Problems that should be studied in the near future are listed. Numerical comparisons between MSADMM, ADMM and ADMM with Anderson acceleration (ACADMM) are included.

CLC number: 15A24, 65F30

References

【1】
【1】
 
 
AIMS Mathematics
Pages 21531-21553

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Yu S, Peng J, Tang Z, et al. Iterative methods to solve the constrained Sylvester equation. AIMS Mathematics, 2023, 8(9): 21531-21553. https://doi.org/10.3934/math.20231097

1

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 01 May 2023
Revised: 16 June 2023
Accepted: 24 June 2023
Published: 15 September 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)