A note on the convergence of alternating proximal gradient method

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摘要

We consider a class of linearly constrained separable convex programming problems whose objective functions are the sum of m convex functions without coupled variables. The alternating proximal gradient method is an effective method for the case m=2, but it is unknown whether its convergence can be extended to the general case m⩾3. This note shows the global convergence of this extension when the involved functions are strongly convex.

论文关键词:Alternating proximal gradient method,Alternating direction method of multipliers,Strongly convex functions,Global convergence

论文评审过程:Available online 20 December 2013.

论文官网地址:https://doi.org/10.1016/j.amc.2013.11.101