Two Convergent Primal–Dual Hybrid Gradient Type Methods for Convex Programming with Linear Constraints

As an effective tool for convex programming, the primal–dual hybrid gradient (PDHG) method has been widely applied in science and engineering computing field. However, the PDHG method may be divergent without further assumption. Based on the projection and contraction methods for monotone variationa...

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Vydané v:	Bulletin of the Iranian Mathematical Society Ročník 49; číslo 3
Hlavní autori:	Sun, Min, Liu, Jing, Tian, Maoying
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Singapore Springer Nature Singapore 01.06.2023
Predmet:	Mathematics Mathematics and Statistics Original Paper Convergence rate Primal–dual hybrid gradient method Global convergence 90C30 90C25 Convex programming
ISSN:	1017-060X, 1735-8515
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