Inertial proximal point regularization algorithm for unconstrained vector convex optimization problems

The purpose of the paper is to investigate an iterative regularization method of proximal point type for solving ill-posed vector convex optimization problems in Hilbert spaces. The application to the convex feasibility problems and the common fixed points for nonexpansive potential mappings is al...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Datum:2008
1. Verfasser: Nguyen Buong
Format: Artikel
Sprache:English
Veröffentlicht: Інститут математики НАН України 2008
Schriftenreihe:Український математичний журнал
Schlagworte:
Online Zugang:http://dspace.nbuv.gov.ua/handle/123456789/164745
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Zitieren:Inertial proximal point regularization algorithm for unconstrained vector convex optimization problems / Nguyen Buong // Український математичний журнал. — 2008. — Т. 60, № 9. — С. 1275–1281. — Бібліогр.: 19 назв. — англ.

Institution

Digital Library of Periodicals of National Academy of Sciences of Ukraine