The Asymptotic Behavior of the Composition of Firmly Nonexpansive Mappings
Not on the map. Why?
Abstract (arXiv)
In this paper we provide a unified treatment of some convex minimization problems, which allows for a better understanding and, in some cases, improvement of results in this direction proved recently in spaces of curvature bounded above. For this purpose, we analyze the asymptotic behavior of compositions of finitely many firmly nonexpansive mappings in the setting of p-uniformly convex geodesic spaces focusing on asymptotic regularity and convergence results.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 25 Nov 2014.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2026: 1.
1 paper.
- 20261-Lipschitz Neural Networks on Hadamard Manifoldscited by 0
- 20261-Lipschitz Neural Networks on Hadamard Manifolds21 Jul 2026