A Regularized Gradient Projection Method for the Minimization Problem
Joint Authors
Kang, Shin Min
Yang, Pei-Xia
Yao, Yonghong
Jigang, Wu
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-20
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
We investigate the following regularized gradient projection algorithm xn+1=Pc(I−γn(∇f+αnI))xn, n≥0.
Under some different control conditions, we prove that this gradient projection algorithm strongly converges to the minimum norm solution of the minimization problem minx∈Cf(x).
American Psychological Association (APA)
Yao, Yonghong& Kang, Shin Min& Jigang, Wu& Yang, Pei-Xia. 2012. A Regularized Gradient Projection Method for the Minimization Problem. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-993087
Modern Language Association (MLA)
Yao, Yonghong…[et al.]. A Regularized Gradient Projection Method for the Minimization Problem. Journal of Applied Mathematics No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-993087
American Medical Association (AMA)
Yao, Yonghong& Kang, Shin Min& Jigang, Wu& Yang, Pei-Xia. A Regularized Gradient Projection Method for the Minimization Problem. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-993087
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-993087
