A three-block linearized generalized ADMM based iterative algorithm for separable convex programming with application to an image compression problem

The generalized alternating direction method of multipliers (GADMM) has attracted considerable attention due to its versatile applications. This study introduces an innovative adaptation called the linearized GADMM (L-GADMM), which is specifically tailored for solving convex optimization problems. T...

Celý popis

Podrobná bibliografie

Vydáno v:	Journal of computational and applied mathematics Ročník 462; s. 116483
Hlavní autoři:	Zhang, Xueqing, Peng, Jianwen, Ghosh, Debdas, Yao, Jen-Chih
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.07.2025
Témata:	Generalized ADMM Global convergence Image compression Linearized ADMM Separable convex optimization Linearized ADMM Global convergence Image compression Generalized ADMM Separable convex optimization
ISSN:	0377-0427
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!