Proximal Point Algorithms for Quasiconvex Pseudomonotone Equilibrium Problems

We propose a proximal point method for quasiconvex pseudomonotone equilibrium problems. The subproblems of the method are optimization problems whose objective is the sum of a strongly quasiconvex function plus the standard quadratic regularization term for optimization problems. We prove, under sui...

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Vydané v:	Journal of optimization theory and applications Ročník 193; číslo 1-3; s. 443 - 461
Hlavní autori:	Iusem, A., Lara, F.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.06.2022 Springer Nature B.V
Predmet:	Algorithms Applications of Mathematics Calculus of Variations and Optimal Control; Optimization Convergence Convexity Engineering Equilibrium Equilibrium methods Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Regularization Theory of Computation Quasiconvexity Strong quasiconvexity Pseudomonotonicity Proximal point algorithms Equilibrium problems
ISSN:	0022-3239, 1573-2878
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