A general regularized gradient-projection method for solving equilibrium and constrained convex minimization problems

In this article, we provide a general iterative method for solving an equilibrium and a constrained convex minimization problem. By using the idea of regularized gradient-projection algorithm (RGPA), we find a common element, which is also a solution of a variational inequality problem. Then the str...

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Vydané v:	Optimization Ročník 65; číslo 11; s. 2007 - 2024
Hlavní autori:	Tian, Ming, Jiao, Si-Wen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Philadelphia Taylor & Francis 01.11.2016 Taylor & Francis LLC
Predmet:	Algorithms constrained convex minimization Constraints Convergence Equilibrium fixed point general iterative algorithms Inequalities Iterative methods Minimization Optimization Portfolio management Regularization methods Theorems Variational inequality
ISSN:	0233-1934, 1029-4945
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