An inexact proximal method for quasiconvex minimization

E. A. Papa Quiroz; L. Mallma Ramirez; P. R. Oliveira

doi:10.1016/j.ejor.2015.05.041

An inexact proximal method for quasiconvex minimization

E. A. Papa Quiroz, L. Mallma Ramirez, P. R. Oliveira

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

26 Citas (Scopus)

Resumen

© 2015 Elsevier B.V. and Association of European Operational Research Societies (EURO) within the International Federation of Operational Research Societies (IFORS). All rights reserved. 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.

Idioma original	Inglés estadounidense
Páginas (desde-hasta)	721-729
Número de páginas	9
Publicación	European Journal of Operational Research
DOI	https://doi.org/10.1016/j.ejor.2015.05.041
Estado	Publicada - 1 ene. 2015

Acceder al documento

10.1016/j.ejor.2015.05.041

Otros archivos y enlaces

Citar esto

@article{2377885a36014a1a89e682d5f86c4469,

title = "An inexact proximal method for quasiconvex minimization",

abstract = "{\textcopyright} 2015 Elsevier B.V. and Association of European Operational Research Societies (EURO) within the International Federation of Operational Research Societies (IFORS). All rights reserved. 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.",

author = "{Papa Quiroz}, {E. A.} and {Mallma Ramirez}, L. and Oliveira, {P. R.}",

year = "2015",

month = jan,

day = "1",

doi = "10.1016/j.ejor.2015.05.041",

language = "American English",

pages = "721--729",

journal = "European Journal of Operational Research",

issn = "0377-2217",

publisher = "Elsevier",

}

TY - JOUR

T1 - An inexact proximal method for quasiconvex minimization

AU - Papa Quiroz, E. A.

AU - Mallma Ramirez, L.

AU - Oliveira, P. R.

PY - 2015/1/1

Y1 - 2015/1/1

N2 - © 2015 Elsevier B.V. and Association of European Operational Research Societies (EURO) within the International Federation of Operational Research Societies (IFORS). All rights reserved. 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.

AB - © 2015 Elsevier B.V. and Association of European Operational Research Societies (EURO) within the International Federation of Operational Research Societies (IFORS). All rights reserved. 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.

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84932199291&origin=inward

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84932199291&origin=inward

U2 - 10.1016/j.ejor.2015.05.041

DO - 10.1016/j.ejor.2015.05.041

M3 - Article

SN - 0377-2217

SP - 721

EP - 729

JO - European Journal of Operational Research

JF - European Journal of Operational Research

ER -

An inexact proximal method for quasiconvex minimization

Resumen

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto