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Variant Gradient Projection Methods for the Minimization Problems
Joint Authors
Liou, Yeong-Cheng
Wen, Ching-Feng
Yao, Yonghong
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-08
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The gradient projection algorithm plays an important role in solving constrained convex minimization problems.
In general, the gradient projection algorithm has only weak convergence in infinite-dimensional Hilbert spaces.
Recently, H.
K.
Xu (2011) provided two modified gradient projection algorithms which have strong convergence.
Motivated by Xu’s work, in the present paper, we suggest three more simpler variant gradient projection methods so that strong convergence is guaranteed.
American Psychological Association (APA)
Yao, Yonghong& Liou, Yeong-Cheng& Wen, Ching-Feng. 2012. Variant Gradient Projection Methods for the Minimization Problems. Abstract and Applied Analysis،Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-498460
Modern Language Association (MLA)
Yao, Yonghong…[et al.]. Variant Gradient Projection Methods for the Minimization Problems. Abstract and Applied Analysis No. 2012 (2012), pp.1-16.
https://search.emarefa.net/detail/BIM-498460
American Medical Association (AMA)
Yao, Yonghong& Liou, Yeong-Cheng& Wen, Ching-Feng. Variant Gradient Projection Methods for the Minimization Problems. Abstract and Applied Analysis. 2012. Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-498460
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-498460