Abstract:We consider the split generalized equilibrium problem and the fixed point problem for a countable family of nonexpansive multivalued mappings in real Hilbert spaces. Then, using the shrinking projection method, we prove a strong convergence theorem for finding a common solution of the considered problems. A numerical example is presented to illustrate the convergence result. Our results improve and extend the corresponding results in the literature.
“…To solve GEP (1.1), we need the following assumptions: Let G : D × D → R. Assumption 1.3: In 2018, Phuengrattana and Lerkchayaphum [32] introduced a shrinking projection method for solving the common solution of split generalized equilibrium problem and fixed point problem of multivalued nonexpansive mappings in real Hilbert spaces. They proved that the sequence {x n } converges strongly to proj g ∆ x 0 , where ∆ := Sol(GEP (1.1) ∩ F (T ) is nonempty.…”
Section: Introductionmentioning
confidence: 99%
“…They proved that the sequence {x n } converges strongly to proj g ∆ x 0 , where ∆ := Sol(GEP (1.1) ∩ F (T ) is nonempty. Our proposed method is endowed with the following characteristics: (1) We extend the results of [1,2,32] from real Hilbert spaces to a more general space which is convex, continuous and strongly coercive Bregman function, which is bounded on bounded subsets, and uniformly convex and uniformly smooth on bounded subsets.…”
In this paper, we introduce a Halpern iteration process for computing the common solution of split generalized equilibrium problem and fixed points of a countable family of Bregman W-mappings with multiple output sets in reflexive Banach spaces. We prove a strong convergence result for approximating the solutions of the aforementioned problems under some mild conditions. It is worth mentioning that the iterative algorithm employ in this article is designed in such a way that it does not require the prior knowledge of operator norm. We also provide some numerical examples to illustrate the performance of our proposed iterative method. The result discuss in this paper extends and complements many related results in literature.
“…To solve GEP (1.1), we need the following assumptions: Let G : D × D → R. Assumption 1.3: In 2018, Phuengrattana and Lerkchayaphum [32] introduced a shrinking projection method for solving the common solution of split generalized equilibrium problem and fixed point problem of multivalued nonexpansive mappings in real Hilbert spaces. They proved that the sequence {x n } converges strongly to proj g ∆ x 0 , where ∆ := Sol(GEP (1.1) ∩ F (T ) is nonempty.…”
Section: Introductionmentioning
confidence: 99%
“…They proved that the sequence {x n } converges strongly to proj g ∆ x 0 , where ∆ := Sol(GEP (1.1) ∩ F (T ) is nonempty. Our proposed method is endowed with the following characteristics: (1) We extend the results of [1,2,32] from real Hilbert spaces to a more general space which is convex, continuous and strongly coercive Bregman function, which is bounded on bounded subsets, and uniformly convex and uniformly smooth on bounded subsets.…”
In this paper, we introduce a Halpern iteration process for computing the common solution of split generalized equilibrium problem and fixed points of a countable family of Bregman W-mappings with multiple output sets in reflexive Banach spaces. We prove a strong convergence result for approximating the solutions of the aforementioned problems under some mild conditions. It is worth mentioning that the iterative algorithm employ in this article is designed in such a way that it does not require the prior knowledge of operator norm. We also provide some numerical examples to illustrate the performance of our proposed iterative method. The result discuss in this paper extends and complements many related results in literature.
“…In particular, the GEP is applicable in sensor networks, data compression, robustness to marginal changes and equilibrium stability, etc. (see [2,3,15,18,30,37]).…”
Section: Introductionmentioning
confidence: 99%
“…Also, for methods of approximating a solution of the EP in both the linear and nonlinear spaces, see [1,20,28,40]. We refer the readers to see the following [18,30] for methods of solving the GEP in the Hilbert and Banach spaces.…”
In this paper, we study the existence of solution of the generalized equilibrium problem (GEP) in the framework of an Hadamard manifold. Using the KKM lemma, we prove the existence of solution of the GEP and give the properties of the resolvent function associated with the problem under consideration. Furthermore, we introduce an iterative algorithm for approximating a common solution of the GEP and a fixed point problem. Using the proposed method, we obtain and prove a strong convergence theorem for approximating a solution of the GEP, which is also a fixed point of a nonexpansive mapping under some mild conditions. We give an application of our convergence result to a solution of the convex minimization problem. To illustrate the convergence of the method, we report some numerical experiments. The result in this paper extends the study of the GEP from the linear settings to the Hadamard manifolds.
“…Many problems arising in different areas of mathematics such as optimization, variational analysis, differential equations, mathematical economics, and game theory can be modeled as fixed point equations of the form x ∈ T x, where T is a multivalued nonexpansive mapping. There are many effective algorithms for solving the fixed point problem [5,7,20,22]. One of the most efficient methods for approximating fixed points of single-valued nonexpansive mappings dates back to 1953 and is the Mann's method.…”
The purpose of this paper is to introduce and study an iterative algorithm, which is based on an extragradient algorithm and the Krasnoselskii-Mann iterative algorithm, for solving equilibrium problems, variational inequalities and fixed point problems of multivalued quasi-nonexpansive mapping.
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