“…where T is a single-valued nonexpansive mapping, S is a multi-valued nonexpansive mapping, and {λ n } is a sequence such that λ n ≥ λ > 0 for all n ≥ 1 and some λ. Inspired by the above work, in this paper, we come up with a new modified algorithm, which improved and extended the results [7].…”
Section: Introductionmentioning
confidence: 77%
“…Definition2.2 [7] A single-valued mapping T : D → D is said to be semicompact if for any sequence {x n } in D such that lim n→∞ d(x n , T x n ) = 0, there exists a subsequence {x n i } of {x n } such that {x n i } converges strongly to p ∈ D. The set of fixed points of T is denoted by F (T ), that is, F (T ) = {x ∈ D : x = T x}.…”
Section: Preliminariesmentioning
confidence: 99%
“…Definition2.4 [7] Let {x n } be a bounded sequence in a CAT (0) space X. For x ∈ X, we define a mapping r(•, {x n }) :…”
In this paper, a new modified proximal point algorithm involving fixed point iterates of a finite number of asymptotically quasi-nonexpansive mappings in $CAT(0)$ spaces is proposed and been proved for the existence of a sequence generated by our iterative process converging to a minimizer of a convex function and a commen fixed point of a finite number of asymptotically quasi-nonexpansive mappings.
“…where T is a single-valued nonexpansive mapping, S is a multi-valued nonexpansive mapping, and {λ n } is a sequence such that λ n ≥ λ > 0 for all n ≥ 1 and some λ. Inspired by the above work, in this paper, we come up with a new modified algorithm, which improved and extended the results [7].…”
Section: Introductionmentioning
confidence: 77%
“…Definition2.2 [7] A single-valued mapping T : D → D is said to be semicompact if for any sequence {x n } in D such that lim n→∞ d(x n , T x n ) = 0, there exists a subsequence {x n i } of {x n } such that {x n i } converges strongly to p ∈ D. The set of fixed points of T is denoted by F (T ), that is, F (T ) = {x ∈ D : x = T x}.…”
Section: Preliminariesmentioning
confidence: 99%
“…Definition2.4 [7] Let {x n } be a bounded sequence in a CAT (0) space X. For x ∈ X, we define a mapping r(•, {x n }) :…”
In this paper, a new modified proximal point algorithm involving fixed point iterates of a finite number of asymptotically quasi-nonexpansive mappings in $CAT(0)$ spaces is proposed and been proved for the existence of a sequence generated by our iterative process converging to a minimizer of a convex function and a commen fixed point of a finite number of asymptotically quasi-nonexpansive mappings.
“…Shimizu and Takahashi proved the existence of fixed points for nonexpansive multivalued mappings in convex metric spaces; that is, every multivalued mapping T : X → C ( X ) has a fixed point in a bounded, complete, and uniformly convex metric space ( X , d ), where C ( X ) is the family of all compact subsets of X . For several algorithms are presented for finding fixed points of multivalued, refer to Suantai et al and Shimizu et al…”
Section: Introductionmentioning
confidence: 99%
“…Shimizu and Takahashi 14 proved the existence of fixed points for nonexpansive multivalued mappings in convex metric spaces; that is, every multivalued mapping T ∶ X → C(X) has a fixed point in a bounded, complete, and uniformly convex metric space (X, d), where C(X) is the family of all compact subsets of X. For several algorithms are presented for finding fixed points of multivalued, refer to Suantai et al [15][16][17] and Shimizu et al 14 Let CB(D) be the collection of all nonempty and closed bounded subsets and (D) be the collection of all nonempty proximal bounded and closed subsets of D, respectively. Let the Hausdorff distance on CB(D) be defined by…”
In this paper, we modify the proximal point algorithm for finding common fixed points in CAT(0) spaces for nonlinear multivalued mappings and a minimizer of a convex function and prove Δ‐convergence of the proposed algorithm. A numerical example is presented to illustrate the convergence result. Our results improve and extend the corresponding results in the literature.
In this paper, the convergence to minimizers of a convex function of a modified proximal point algorithm involving a single-valued nonexpansive mapping and a multivalued nonexpansive mapping in CAT(0) spaces is studied and a numerical example is given to support our main results.
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