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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Datum: | 2008 |
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1. Verfasser: | |
Format: | Artikel |
Sprache: | English |
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Інститут математики НАН України
2008
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Schriftenreihe: | Український математичний журнал |
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Online Zugang: | http://dspace.nbuv.gov.ua/handle/123456789/164745 |
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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. |