Regularization inertial proximal point algorithm for unconstrained vector convex optimization problems

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

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Bibliographic Details
Date:2008
Main Authors: Nguen, Byong, Нгуєн, Бионг
Format: Article
Language:English
Published: Institute of Mathematics, NAS of Ukraine 2008
Online Access:https://umj.imath.kiev.ua/index.php/umj/article/view/3242
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Journal Title:Ukrains’kyi Matematychnyi Zhurnal
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Ukrains’kyi Matematychnyi Zhurnal

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