Bregman Distance and Strong Convergence of Proximal-Type Algorithms

Joint Authors

Sahu, Daya Ram
Kuo, Li-Wei

Source

Abstract and Applied Analysis

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-07-09

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Mathematics

Abstract EN

The purpose of this paper is to discuss some fundamental properties of Bregman distance, generalized projection operators, firmly nonexpansive mappings, and resolvent operators of set-valued monotone operators corresponding to a functional Φ(∥·∥).

We further study some proximal point algorithms for finding zeros of monotone operators and solving generalized mixed equilibrium problems in Banach spaces.

Our results improve and extend some recent results concerning generalized projection operators corresponding to Bregman distance.

American Psychological Association (APA)

Kuo, Li-Wei& Sahu, Daya Ram. 2013. Bregman Distance and Strong Convergence of Proximal-Type Algorithms. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-483245

Modern Language Association (MLA)

Kuo, Li-Wei& Sahu, Daya Ram. Bregman Distance and Strong Convergence of Proximal-Type Algorithms. Abstract and Applied Analysis No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-483245

American Medical Association (AMA)

Kuo, Li-Wei& Sahu, Daya Ram. Bregman Distance and Strong Convergence of Proximal-Type Algorithms. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-483245

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-483245