A Modified Regularization Method for the Proximal Point Algorithm

Author

Wang, Shuang

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

Mathematics

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