Composition of resolvents and quasinonexpansive multivalued mappings in Hadamared spaces

‎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 and the common ‎fixed points of a finite family of quasi-nonexpansive multivalued‎ ‎mappings in Hadamard‎ ‎spaces.