A conjugate gradient projection method with restart procedure for solving constraint equations and image restorations

The conjugate gradient projection method is one of the most effective methods for solving large-scale nonlinear monotone convex constrained equations. In this paper, a new search direction with restart procedure is proposed, and a self-adjusting line search criterion is improved, then a three-term c...

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Veröffentlicht in:	Journal of applied mathematics & computing Jg. 70; H. 3; S. 2255 - 2284
Hauptverfasser:	Jiang, Xianzhen, Huang, Zefeng, Yang, Huihui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2024 Springer Nature B.V
Schlagworte:	Algorithms Computational Mathematics and Numerical Analysis Constraints Design Lipschitz condition Mathematical and Computational Engineering Mathematics Mathematics and Statistics Mathematics of Computing Methods Optimization Original Research Theory of Computation Global convergence Nonlinear constrained equations Three-term conjugate gradient projection method Restart procedure Image restorations
ISSN:	1598-5865, 1865-2085
Online-Zugang:	Volltext
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