دورية أكاديمية

Iterative methods to solve the constrained Sylvester equation

التفاصيل البيبلوغرافية
العنوان: Iterative methods to solve the constrained Sylvester equation
المؤلفون: Siting Yu, Jingjing Peng, Zengao Tang, Zhenyun Peng
المصدر: AIMS Mathematics, Vol 8, Iss 9, Pp 21531-21553 (2023)
بيانات النشر: AIMS Press, 2023.
سنة النشر: 2023
المجموعة: LCC:Mathematics
مصطلحات موضوعية: nonlinear matrix equation, fixed point iteration algorithm, anderson acceleration algorithm, thompson distance, Mathematics, QA1-939
الوصف: In this paper, the multiple constraint least squares solution of the Sylvester equation $ AX+XB = 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2473-6988
Relation: https://doaj.org/toc/2473-6988
DOI: 10.3934/math.20231097?viewType=HTML
DOI: 10.3934/math.20231097
URL الوصول: https://doaj.org/article/0b66643257094beb8b0dff26b67c4ec4
رقم الأكسشن: edsdoj.0b66643257094beb8b0dff26b67c4ec4
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24736988
DOI:10.3934/math.20231097?viewType=HTML