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A Modified Regularization Method for the Proximal Point Algorithm
Author
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-30
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Under some weaker conditions, we prove the strong convergence of the sequence generated by a modified regularization method of finding a zero for a maximal monotone operator in a Hilbert space.
In addition, an example is also given in order to illustrate the effectiveness of our generalizations.
The results presented in this paper can be viewed as the improvement, supplement, and extension of the corresponding results.
American Psychological Association (APA)
Wang, Shuang. 2012. A Modified Regularization Method for the Proximal Point Algorithm. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-993376
Modern Language Association (MLA)
Wang, Shuang. A Modified Regularization Method for the Proximal Point Algorithm. Journal of Applied Mathematics No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-993376
American Medical Association (AMA)
Wang, Shuang. A Modified Regularization Method for the Proximal Point Algorithm. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-993376
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-993376