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Iterative algorithms for solving mixed equilibrium problems and constrained convex minimization problems

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Publication:2789177
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zbMATH Open1338.47095MaRDI QIDQ2789177

Jong Soo Jung

Publication date: 26 February 2016

Published in: Journal of Nonlinear and Convex Analysis (Search for Journal in Brave)

Full work available at URL: http://www.yokohamapublishers.jp/online2/opjnca/vol17/p113.html



zbMATH Keywords

fixed pointsvariational inequalitynonexpansive mappingconstrained convex minimization problemgradient-projection algorithmmixed equilibrium problem\(\kappa\)-Lipschitzian and \(\eta\)-strongly monotone operator


Mathematics Subject Classification ID

Variational and other types of inequalities involving nonlinear operators (general) (47J20) Monotone operators and generalizations (47H05) Iterative procedures involving nonlinear operators (47J25) Applications of operator theory in optimization, convex analysis, mathematical programming, economics (47N10)



Related Items (1)

Iterative algorithms based on the viscosity approximation method for equilibrium and constrained convex minimization problem






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