2010
DOI: 10.1016/j.na.2010.04.041
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A general iterative method for addressing mixed equilibrium problems and optimization problems

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Cited by 20 publications
(11 citation statements)
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“…So, when we study the solution of MEP, we only need to study the solution of the equilibrium (1.1). This also shows that some "so-called" mixed equilibrium problem studied in [15][16][17] is still the equilibrium problem (1.1).…”
Section: Further Remarksmentioning
confidence: 63%
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“…So, when we study the solution of MEP, we only need to study the solution of the equilibrium (1.1). This also shows that some "so-called" mixed equilibrium problem studied in [15][16][17] is still the equilibrium problem (1.1).…”
Section: Further Remarksmentioning
confidence: 63%
“…The problem MEP studied in [15][16][17] and the problem GEP studied in [18][19][20] are still the problem (1.1) studied in the literature [5][6][7][8][9][10][11][21][22][23][24] and others.…”
Section: Resultsmentioning
confidence: 99%
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“…In 2008, Peng and Yao [22] studied an iterative method for the GMEP (1.1) related to an α-inverse-strongly monotone mapping B, the VIP (1.5) for a monotone and Lipschitz continuous mapping F and a nonexpansive mapping S, and proved strong convergence to a point z ∈ GMEP(Θ, ϕ, B) ∩ VI(C, F) ∩ Fix(S). In 2010, by using the method of Yao et al [39], Jaiboon and Kumam [12] also introduced an iterative method related to optimization problem for the MEP (1.3), the VIP (1.5) for an α-inverse-strongly monotone mapping F and a sequence {S n } of nonexpansive mappings, and showed strong convergence to a point z ∈ ∩ ∞ n=1 Fix(S n ) ∩ MEP(Θ, ϕ) ∩ VI(C, F).…”
Section: Introductionmentioning
confidence: 99%