Two accelerated gradient-based iteration methods for solving the Sylvester matrix equation AX + XB = C

In this paper, combining the precondition technique and momentum item with the gradient-based iteration algorithm, two accelerated iteration algorithms are presented for solving the Sylvester matrix equation $ AX+XB = C $. Sufficient conditions to guarantee the convergence properties of the proposed...

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Main Authors: Huiling Wang, Nian-Ci Wu, Yufeng Nie
Format: Article
Language:English
Published: AIMS Press 2024-12-01
Series:AIMS Mathematics
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Online Access:https://www.aimspress.com/article/doi/10.3934/math.20241654
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author Huiling Wang
Nian-Ci Wu
Yufeng Nie
author_facet Huiling Wang
Nian-Ci Wu
Yufeng Nie
author_sort Huiling Wang
collection DOAJ
description In this paper, combining the precondition technique and momentum item with the gradient-based iteration algorithm, two accelerated iteration algorithms are presented for solving the Sylvester matrix equation $ AX+XB = C $. Sufficient conditions to guarantee the convergence properties of the proposed algorithms are analyzed in detail. Varying the parameters of these algorithms in each iteration, the corresponding adaptive iteration algorithms are also provided, and the adaptive parameters can be explicitly obtained by the minimum residual technique. Several numerical examples are implemented to illustrate the effectiveness of the proposed algorithms.
format Article
id doaj-art-e43a25a0421f4975ae87f6fa8e2adfcd
institution Kabale University
issn 2473-6988
language English
publishDate 2024-12-01
publisher AIMS Press
record_format Article
series AIMS Mathematics
spelling doaj-art-e43a25a0421f4975ae87f6fa8e2adfcd2025-01-23T07:53:25ZengAIMS PressAIMS Mathematics2473-69882024-12-01912347343475210.3934/math.20241654Two accelerated gradient-based iteration methods for solving the Sylvester matrix equation AX + XB = CHuiling Wang0Nian-Ci Wu1Yufeng Nie2College of Applied Mathematics, Shanxi University of Finance and Economics, Taiyuan 030006, ChinaSchool of Mathematics and Statistics, South-Central Minzu University, Wuhan 430074, ChinaSchool of Mathematics and Statistics, Northwestern Polytechnical University, Xi'an 710072, ChinaIn this paper, combining the precondition technique and momentum item with the gradient-based iteration algorithm, two accelerated iteration algorithms are presented for solving the Sylvester matrix equation $ AX+XB = C $. Sufficient conditions to guarantee the convergence properties of the proposed algorithms are analyzed in detail. Varying the parameters of these algorithms in each iteration, the corresponding adaptive iteration algorithms are also provided, and the adaptive parameters can be explicitly obtained by the minimum residual technique. Several numerical examples are implemented to illustrate the effectiveness of the proposed algorithms.https://www.aimspress.com/article/doi/10.3934/math.20241654sylvester matrix equationgradient-based iterationmomentum termprecondition techniqueminimum residual technique
spellingShingle Huiling Wang
Nian-Ci Wu
Yufeng Nie
Two accelerated gradient-based iteration methods for solving the Sylvester matrix equation AX + XB = C
AIMS Mathematics
sylvester matrix equation
gradient-based iteration
momentum term
precondition technique
minimum residual technique
title Two accelerated gradient-based iteration methods for solving the Sylvester matrix equation AX + XB = C
title_full Two accelerated gradient-based iteration methods for solving the Sylvester matrix equation AX + XB = C
title_fullStr Two accelerated gradient-based iteration methods for solving the Sylvester matrix equation AX + XB = C
title_full_unstemmed Two accelerated gradient-based iteration methods for solving the Sylvester matrix equation AX + XB = C
title_short Two accelerated gradient-based iteration methods for solving the Sylvester matrix equation AX + XB = C
title_sort two accelerated gradient based iteration methods for solving the sylvester matrix equation ax xb c
topic sylvester matrix equation
gradient-based iteration
momentum term
precondition technique
minimum residual technique
url https://www.aimspress.com/article/doi/10.3934/math.20241654
work_keys_str_mv AT huilingwang twoacceleratedgradientbasediterationmethodsforsolvingthesylvestermatrixequationaxxbc
AT nianciwu twoacceleratedgradientbasediterationmethodsforsolvingthesylvestermatrixequationaxxbc
AT yufengnie twoacceleratedgradientbasediterationmethodsforsolvingthesylvestermatrixequationaxxbc