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The Proximal Gradient Method for Composite Optimization Problems on Riemannian Manifolds

Year: 2024
Type: article
Abstract: In this paper, the composite optimization problem is studied on Riemannian manifolds. To tackle this problem, the proximal gradient method to solve composite optimization problems is proposed on Riemannian manifolds. Under some reasonable conditions, the convergence of the proximal gradient method with the backtracking procedure in the nonconvex case is presented. Furthermore, a sublinear convergence rate and the complexity result of the proximal gradient method for convex case are also established on Riemannian manifolds.
Source: Mathematics
Author: Xiaobo Li
Language: English
Open Access status: gold
Estimated APC paid: $2,955
OpenAlex ID: W4401897051
FWCI: 0.195
Cites: 19
Cited by: 1
Related to: 10