arXiv · 1611.01830
Proximal Point Algorithm for Quasi-convex Minimization Problems in metric spaces
Abstract
In this paper, the proximal point algorithm for quasi-convex minimization problem in nonpositive curvature metric spaces is studied. We prove $\Delta$-convergence of the generated sequence to a critical point (which is defined in the text) of an objective convex, proper and lower semicontinuous function with at least a minimum point as well as some strong convergence results to a minimum point with some additional conditions. The results extend the recent results of the proximal point algorithm in Hadamard manifolds and CAT(0) spaces.
Explore related subjects
Keep this discovery
Hadi Khatibzadeh, Vahid Mohebbi. 2016-11-06. Proximal Point Algorithm for Quasi-convex Minimization Problems in metric spaces. https://arxiv.org/abs/1611.01830
Cite the original work for its findings. Save a collection to share your selection of sources.