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...
Saved in:
| Date: | 2008 |
|---|---|
| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Інститут математики НАН України
2008
|
| Series: | Український математичний журнал |
| Subjects: | |
| Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/164745 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | 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. |