Iterative algorithm for minimum-norm of fixed point for nonexpansive mapping and convex optimization problems

Conference proceedings article

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Publication Details

Author list: Chamnarnpan T., Kumam P.

Publication year: 2013

Volume number: 2202

Start page: 148

End page: 151

Number of pages: 4

ISBN: 9789881925183

ISSN: 2078-0958

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84880074895&partnerID=40&md5=5fecdfc0ebb5f0b50019ae85c48b9dcd

Languages: English-Great Britain (EN-GB)

Abstract

In this paper, we introduce an explicit method for finding the least norm of fixed points for strict pseudo mappings by using the projection technique. We provide algorithm which strong convergence theorems are obtained in Hilbert spaces. Then, we apply these algorithm to solve some convex optimization problems. The results of this paper extend and improve several results presented in the literature in the recent past.

Keywords

Explicit Method, Minimum-Norm