A New Exact Worst-Case Linear Convergence Rate of the Proximal Gradient Method
classification
🧮 math.OC
keywords
convergencegradientlemmalinearproximalratedescentexact
read the original abstract
In this note, we establish a new exact worst-case linear convergence rate of the proximal gradient method in terms of the proximal gradient norm, which complements the recent results in [1] and implies a refined descent lemma.descent lemma. Based on the new lemma, we improve the linear convergence rate of the objective function accuracy under the Polyak-Lojasiewicz inequality.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.