2020
DOI: 10.3906/mat-1911-83
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An extragradient algorithm for split generalized equilibrium problem and the set of fixed points of quasi-φ-nonexpansive mappings in Banach spaces

Abstract: In this paper, we study the problem of finding a common solution to split generalized mixed equilibrium problem and fixed point problem for quasiφ -nonexpansive mappings in 2-uniformly convex and uniformly smooth Banach space E1 and a smooth, strictly convex, and reflexive Banach space E2 . An iterative algorithm with Armijo linesearch rule for solving the problem is presented and its strong convergence theorem is established. The convergence result is obtained without using the hybrid method which is mostly u… Show more

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Cited by 10 publications
(5 citation statements)
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“…Let f : C × C → R ∪ {+∞} be a bifunction such that C ⊂ int(dom(f, •)), then for every x ∈ C, the Equilibrium Problem (EP) (see [3,14]), is to find a point x * ∈ C such that f (x * , y) ≥ 0, for all y ∈ C. (1.1) The EP is a generalization of many important optimization problems, such as Variational Inequality Problem (VIP), Fixed Point Problem (FPP) and so on (see [6,14] and the references therein). In particular, if f (x, y) = ⟨Ax, y − x⟩, where A : C → E * , is a nonlinear mapping, then EP (C, f ) (1.1) reduces to the classical VIP introduced by Stampacchia [47] (see also [36,38,41,52]), which is to find a point x * ∈ C such that ⟨Ax * , y − x * ⟩ ≥ 0, for all y ∈ C. (1.2) There are two important directions of research on EP: These are the existence of solution of EP and other related problems (see [14,29] for more details) and the development of iterative algorithms for approximating the solution of EP, its several generalizations and related optimization problems (see [1,12,13,33,34,[42][43][44] and the references therein).…”
Section: Introductionmentioning
confidence: 99%
“…Let f : C × C → R ∪ {+∞} be a bifunction such that C ⊂ int(dom(f, •)), then for every x ∈ C, the Equilibrium Problem (EP) (see [3,14]), is to find a point x * ∈ C such that f (x * , y) ≥ 0, for all y ∈ C. (1.1) The EP is a generalization of many important optimization problems, such as Variational Inequality Problem (VIP), Fixed Point Problem (FPP) and so on (see [6,14] and the references therein). In particular, if f (x, y) = ⟨Ax, y − x⟩, where A : C → E * , is a nonlinear mapping, then EP (C, f ) (1.1) reduces to the classical VIP introduced by Stampacchia [47] (see also [36,38,41,52]), which is to find a point x * ∈ C such that ⟨Ax * , y − x * ⟩ ≥ 0, for all y ∈ C. (1.2) There are two important directions of research on EP: These are the existence of solution of EP and other related problems (see [14,29] for more details) and the development of iterative algorithms for approximating the solution of EP, its several generalizations and related optimization problems (see [1,12,13,33,34,[42][43][44] and the references therein).…”
Section: Introductionmentioning
confidence: 99%
“…where F : C × C → R is a bifunction. The EP unify many important problems, such as variational inequalities, fixed point problems, optimization problems, saddle point (minmax) problems, Nash equilibria problems and complimentarity problems [2][3][4][5][6][7]. It also finds applications in other fields of studies like physics, economics, engineering and so on [1,2,[8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…(i) e split equilibrium problem studied in [29,30] can be formulated to find an element u ∈ C such that u ∈ SEP(C, f), Au ∈ SEP(Q, g).…”
Section: Introductionmentioning
confidence: 99%