Modified and accelerated relaxed gradient-based iterative algorithms for the complex conjugate and transpose matrix equations

In this paper, by applying the updated technique to the relaxed gradient-based iterative algorithm proposed by Wang et al. (J. Appl. Math. Comput. 67 , 317–341 2021 ), we develop the modified relaxed gradient-based iterative algorithm for the complex conjugate and transpose Sylvester matrix equation...

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Veröffentlicht in:	Numerical algorithms Jg. 97; H. 4; S. 1955 - 2009
Hauptverfasser:	Huang, Zhengge, Cui, Jingjing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2024 Springer Nature B.V
Schlagworte:	Algebra Algorithms Computational mathematics Computer Science Conjugates Convergence Iterative algorithms Iterative methods Linear systems Methods Numeric Computing Numerical Analysis Original Paper System theory Theory of Computation Modified relaxed gradient-based iterative algorithm Optimal convergence factor Complex conjugate and transpose matrix equation 65F10 Real representation Accelerated relaxed gradient-based iterative algorithm Convergence
ISSN:	1017-1398, 1572-9265
Online-Zugang:	Volltext
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