The Weighted, Relaxed Gradient-Based Iterative Algorithm for the Generalized Coupled Conjugate and Transpose Sylvester Matrix Equations

The Weighted, Relaxed Gradient-Based Iterative Algorithm for the Generalized Coupled Conjugate and Transpose Sylvester Matrix Equations

By applying the weighted relaxation technique to the gradient-based iterative (GI) algorithm and taking proper weighted combinations of the solutions, this paper proposes the weighted, relaxed gradient-based iterative (WRGI) algorithm to solve the generalized coupled conjugate and transpose Sylveste...

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Bibliographic Details
Main Authors: Xiaowen Wu, Zhengge Huang, Jingjing Cui, Yanping Long
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Axioms
Subjects:
generalized coupled conjugate and transpose Sylvester matrix equations
weighted relaxed gradient-based iterative algorithm
real representation
relaxation parameter
convergence condition
optimal convergence factor
Online Access:https://www.mdpi.com/2075-1680/12/11/1062

Internet

https://www.mdpi.com/2075-1680/12/11/1062

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