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...
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| Published in: | Український математичний журнал |
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| Date: | 2008 |
| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Інститут математики НАН України
2008
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| Subjects: | |
| Online Access: | https://nasplib.isofts.kiev.ua/handle/123456789/164745 |
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| 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. |