‎The proximal point algorithm‎, ‎which is a well-known tool for finding‎ ‎minima of convex functions‎, ‎is generalized from the classical‎ ‎Hilbert space framework into a nonlinear setting‎, ‎namely‎, ‎geodesic‎ ‎metric spaces of nonpositive curvature‎. ‎In this paper we propose an‎  ‎iterative algorithm for finding the common element of the‎ ‎minimizers of a finite family of convex functions a...

OurmainpurposeofthispaperistointroducethemodifiedMannandIshikawaiteratesforfindingacommonattractivepoint of a finite family multivalued nonexpansive mappings in the setting uniformly convex Banach spaces. Weobtain necessary and sufficient conditions to guarantee strong convergence proposed algorithms withoutclosedness domain such mappings. Moreover, we derive some consequences from our main res...

In this note, we establish and improve some results on fixed point theory in topological vector spaces. As a generalization of contraction maps, the concept of quasi contraction multivalued maps on a topological vector space will be defined. Further, it is shown that a quasi contraction and closed multivalued map on a topological vector space has a unique fixed point if it is bounded value.

In this paper, we introduce a new m-step iterative process for a finite family of multivalued mappings satisfying the condition (E). We then prove some strong and ∆-convergence theorems in CAT(0) spaces. In this way, we extend results of [8].