General regularized nonconvex mixed equilibrium problems: iterative methods by auxiliary principle technique

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초록

This paper introduces a new class of equilibrium problems named general regularized nonconvex mixed equilibrium problem. By using the auxiliary principle technique, some predictor-corrector methods for solving such class of general regularized nonconvex mixed equilibrium problems are suggested and analyzed. The study of convergence analysis of the proposed iterative algorithms requires either jointly pseudomonotonicity or partially mixed relaxed and strong monotonicity property of the operator and bifunction involved in the considered problem. As a consequence of our main results, we provide the correct versions of the algorithms and results presented in the literature.

키워드

Generalized regularized nonconvex mixed equilibrium problems; Auxiliary principle technique; Prox-regularity; Predictor-corrector methods; Nonconvex sets; Convergence analysis; EXISTENCE; SETS
제목
General regularized nonconvex mixed equilibrium problems: iterative methods by auxiliary principle technique
저자
Balooee, Javad; Cho, Yeol Je
DOI
10.1007/s12215-019-00466-5
발행일
2020-12
유형
Article
저널명
Rendiconti del Circolo Matematico di Palermo
권
69
호
3
페이지
1321 ~ 1346