A Parallel Splitting Augmented Lagrangian Method for Two-Block Separable Convex Programming with Application in Image Processing

The augmented Lagrangian method (ALM) is one of the most successful first-order methods for convex programming with linear equality constraints. To solve the two-block separable convex minimization problem, we always use the parallel splitting ALM method. In this paper, we will show that no matter h...

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Veröffentlicht in:	Mathematical problems in engineering Jg. 2020; H. 2020; S. 1 - 10
Hauptverfasser:	Liu, Jing, Wang, Tonghui, Duan, Yongrui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cairo, Egypt Hindawi Publishing Corporation 2020 Hindawi John Wiley & Sons, Inc
Schlagworte:	Convergence Convexity Image processing Mathematical problems Nonlinear programming Optimization Splitting
ISSN:	1024-123X, 1563-5147
Online-Zugang:	Volltext
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