An Interior Proximal Method with Proximal Distances for Quasimonotone Equilibrium Problems

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Resumen

We introduce an interior proximal point algorithm with proximal distances to solve quasimonotone Equilibrium problems defined on convex sets. Under adequate assumptions, we prove that the sequence generated by the algorithm converges to a solution of the problem and for a broad class of proximal distances the rate of convergence of the sequence is linear or superlinear.

Idioma originalInglés
Título de la publicación alojadaModelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 4th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2021
EditoresHoai An Le Thi, Hoai Minh Le, Hoai An Le Thi, Tao Pham Dinh
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas3-15
Número de páginas13
ISBN (versión impresa)9783030926656
DOI
EstadoPublicada - 2022
Publicado de forma externa
Evento4th International conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2021 - Hanoi, Vietnam
Duración: 11 dic. 202113 dic. 2021

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen363 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

Conferencia4th International conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2021
País/TerritorioVietnam
CiudadHanoi
Período11/12/2113/12/21

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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