Inexact Proximal Point Methods for Multiobjective Quasiconvex Minimization on Hadamard Manifolds

Erik Alex Papa Quiroz, Nancy Baygorrea Cusihuallpa, Nelson Maculan

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

Resumen

In this paper, we present two inexact scalarization proximal point methods to solve quasiconvex multiobjective minimization problems on Hadamard manifolds. Under standard assumptions on the problem, we prove that the two sequences generated by the algorithms converge to a Pareto critical point of the problem and, for the convex case, the sequences converge to a weak Pareto solution. Finally, we explore an application of the method to demand theory in economy, which can be dealt with using the proposed algorithm.

Idioma originalInglés
Páginas (desde-hasta)879-898
Número de páginas20
PublicaciónJournal of Optimization Theory and Applications
Volumen186
N.º3
DOI
EstadoPublicada - 1 sep 2020

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© 2020, Springer Science+Business Media, LLC, part of Springer Nature.

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