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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Autors principals:	Xiaowen Wu, Zhengge Huang, Jingjing Cui, Yanping Long
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-11-01
Col·lecció:	Axioms
Matèries:	generalized coupled conjugate and transpose Sylvester matrix equations weighted relaxed gradient-based iterative algorithm real representation relaxation parameter convergence condition optimal convergence factor
Accés en línia:	https://www.mdpi.com/2075-1680/12/11/1062
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