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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 potentia...

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Bibliographic Details
Published in:Український математичний журнал
Date:2008
Main Author: Nguyen Buong
Format: Article
Language:English
Published: Інститут математики НАН України 2008
Subjects:
Короткі повідомлення
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.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine

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