This article is cited in 4 scientific papers (total in 4 papers)
An extraproximal method for solving equilibrium programming problems in a Hilbert space
A. S. Stukalov
Faculty of Computational Mathematics and Cybernetics, Moscow State University, Leninskie gory, Moscow, 119992, Russia
A regularized method of the proximal type for solving equilibrium problems in a Hilbert space is proposed. The method is combined with an approximation of the original problem. The convergence of the method is analyzed, and a regularizing operator is constructed.
equilibrium programming, regularization, approximation, extraproximal method, Nash game.
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Computational Mathematics and Mathematical Physics, 2006, 46:5, 743–761
A. S. Stukalov, “An extraproximal method for solving equilibrium programming problems in a Hilbert space”, Zh. Vychisl. Mat. Mat. Fiz., 46:5 (2006), 781–798; Comput. Math. Math. Phys., 46:5 (2006), 743–761
Citation in format AMSBIB
\paper An extraproximal method for solving equilibrium programming problems in a~Hilbert space
\jour Zh. Vychisl. Mat. Mat. Fiz.
\jour Comput. Math. Math. Phys.
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Kumam P. Katchang Ph., “A System of Mixed Equilibrium Problems, a General System of Variational Inequality Problems for Relaxed Cocoercive, and Fixed Point Problems for Nonexpansive Semigroup and Strictly Pseudocontractive Mappings”, J. Appl. Math., 2012, 414831
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