- Research Article
- Open Access
- Published:
An Iterative Algorithm of Solution for Quadratic Minimization Problem in Hilbert Spaces
Journal of Inequalities and Applications volume 2010, Article number: 717341 (2010)
Abstract
The purpose of this paper is to introduce an iterative algorithm for finding a solution of quadratic minimization problem in the set of fixed points of a nonexpansive mapping and to prove a strong convergence theorem of the solution for quadratic minimization problem. The result of this article improved and extended the result of G. Marino and H. K. Xu and some others.
Publisher note
To access the full article, please see PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
About this article
Cite this article
Liu, L., Gu, G. & Su, Y. An Iterative Algorithm of Solution for Quadratic Minimization Problem in Hilbert Spaces. J Inequal Appl 2010, 717341 (2010). https://doi.org/10.1155/2010/717341
Received:
Accepted:
Published:
DOI: https://doi.org/10.1155/2010/717341
Keywords
- Hilbert Space
- Minimization Problem
- Iterative Algorithm
- Convergence Theorem
- Nonexpansive Mapping