2021
DOI: 10.1007/s11565-020-00354-2
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An iterative algorithm for solving variational inequality, generalized mixed equilibrium, convex minimization and zeros problems for a class of nonexpansive-type mappings

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Cited by 44 publications
(21 citation statements)
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“…Recently, several authors have studied and proposed many iterative algorithms for approximating the solutions of variational inequality problem and related optimization problems (see [25,28,29]). The generalized mixed equilibrium problem is very general in the sense that it includes as a special case minimization problems, variational inequality problems, fixed point problems, Nash equilibrium problems in noncooperative games, and many others (see [2,3,7,12,16,18,21,26,[48][49][50]52]).…”
Section: Introductionmentioning
confidence: 99%
“…Recently, several authors have studied and proposed many iterative algorithms for approximating the solutions of variational inequality problem and related optimization problems (see [25,28,29]). The generalized mixed equilibrium problem is very general in the sense that it includes as a special case minimization problems, variational inequality problems, fixed point problems, Nash equilibrium problems in noncooperative games, and many others (see [2,3,7,12,16,18,21,26,[48][49][50]52]).…”
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%
“…The SFP has been studied by researchers due to its applications in various field of science and technology, such as signal processing, intensity-modulated radiation therapy and medical image construction, for details, see [39,40]. In solving (5), Byrne [39] introduced the following iterative algorithm: let x 0 ∈ R n be arbitrary,…”
Section: Introductionmentioning
confidence: 99%
“…In the early 1960's, Stampacchia [43] and Fichera [12] introduced the theory of variational inequality problem. The Problem (1) is a fundamental problem which has a wide range of applications in applied field of mathematics such as network equilibrium problems, complementary problems, optimization theory and systems of nonlinear equations (see [5,13,19,24,27,28,40,48]). Under suitable conditions, there are generally two main approaches to finding the solutions of VIP (1).…”
mentioning
confidence: 99%