Multi parameter proximal point algorithms

Journal article

Authors / Editors

Oganeditse, Boikanyo

Research Areas

ENGINEERING AND TECHNOLOGY (Frascati classification)

Publication Details

Subtitle: Multi parameter proximal point algorithms

Publisher: Yokohama Oublishers

Publication year: 2012

Volume number: 13

Issue number: 2

Start page: 221

End page: 231

Number of pages: 11

ISSN: 1345-4773

URL: https://pdfs.semanticscholar.org

Languages: English-United States (EN-US)

Abstract

The aim of this paper is to prove a strong convergence result for an algorithm introduced by Y. Yao and M. A. Noor in 2008 under a new condition on one of the parameters involved. Further, convergence properties of a generalized proximal point algorithm which was introduced in [5] axe analyzed. The results in this paper axe proved under the general condition that errors tend to zero in norm. These results extend and improve several previous results on the regularization method and the proximal point algorithm.

Keywords

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