A Proximal Method for Multiobjective Quasiconvex Minimization on the Nonnegative Orthant and its Application to Demand Theory in Microeconomy

Erik Alex Papa Quiroz, Dante Borda Marcatinco, Frank Collantes Sánchez

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

In this paper we propose an inexact proximal point method to solve multiobjective minimization problems with locally Lipschitz quasiconvex objective functions on the nonnegative orthant. Assuming that the function is also bounded from below, lower semicontinuous and using proximal distances, we obtain the convergence of the sequences generated by the algorithm. We give some computational results and an application to demand theory is presented.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2020 3rd International Conference on Robot Systems and Applications, ICRSA 2020
EditorialICST
Páginas75-81
Número de páginas7
ISBN (versión digital)9781450387644
DOI
EstadoPublicada - 14 jun 2020
Evento3rd International Conference on Robot Systems and Applications, ICRSA 2020 - Chengdu, China
Duración: 14 jun 202016 jun 2020

Serie de la publicación

NombrePervasiveHealth: Pervasive Computing Technologies for Healthcare
ISSN (versión impresa)2153-1633

Conferencia

Conferencia3rd International Conference on Robot Systems and Applications, ICRSA 2020
País/TerritorioChina
CiudadChengdu
Período14/06/2016/06/20

Nota bibliográfica

Publisher Copyright:
© 2020 ACM.

Citar esto