Title
An inexact proximal method for quasiconvex minimization
Date Issued
01 November 2015
Access level
metadata only access
Resource Type
journal article
Author(s)
Federal University of Rio de Janeiro, Brazil
Callao National University
Publisher(s)
Elsevier B.V.
Abstract
In this paper we propose an inexact proximal point method to solve constrained minimization problems with locally Lipschitz quasiconvex objective functions. Assuming that the function is also bounded from below, lower semicontinuous and using proximal distances, we show that the sequence generated for the method converges to a stationary point of the problem.
Start page
721
End page
729
Volume
246
Issue
3
Language
English
OCDE Knowledge area
Ciencias sociales
Scopus EID
2-s2.0-84932199291
Source
European Journal of Operational Research
ISSN of the container
03772217
Sources of information: Directorio de Producción Científica Scopus