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 original | Inglés |
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Título de la publicación alojada | Modelling, 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 |
Editores | Hoai An Le Thi, Hoai Minh Le, Hoai An Le Thi, Tao Pham Dinh |
Editorial | Springer Science and Business Media Deutschland GmbH |
Páginas | 3-15 |
Número de páginas | 13 |
ISBN (versión impresa) | 9783030926656 |
DOI | |
Estado | Publicada - 2022 |
Publicado de forma externa | Sí |
Evento | 4th International conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2021 - Hanoi, Vietnam Duración: 11 dic. 2021 → 13 dic. 2021 |
Serie de la publicación
Nombre | Lecture Notes in Networks and Systems |
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Volumen | 363 LNNS |
ISSN (versión impresa) | 2367-3370 |
ISSN (versión digital) | 2367-3389 |
Conferencia
Conferencia | 4th International conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2021 |
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País/Territorio | Vietnam |
Ciudad | Hanoi |
Período | 11/12/21 → 13/12/21 |
Nota bibliográfica
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.