Robustness of Krasnoselski-Mann's Algorithm for Asymptotically Nonexpansive Mappings

Joint Authors

Liu, Li-Wei
Tang, Yu-Chao

Source

ISRN Mathematical Analysis

Issue

Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2011-06-07

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Mathematics

Abstract EN

Iterative approximation of fixed points of nonexpansive mapping is a very active theme in many aspects of mathematical and engineering areas, in particular, in image recovery and signal processing.

Because the errors usually occur in few places, it is necessary to show that whether the iterative algorithm is robust or not.

In the present work, we prove that Krasnoselski-Mann's algorithm is robust for asymptotically nonexpansive mapping in a Banach space setting.

Our results generalize the corresponding results existing in the literature.

American Psychological Association (APA)

Tang, Yu-Chao& Liu, Li-Wei. 2011. Robustness of Krasnoselski-Mann's Algorithm for Asymptotically Nonexpansive Mappings. ISRN Mathematical Analysis،Vol. 2011, no. 2011, pp.1-9.
https://search.emarefa.net/detail/BIM-490614

Modern Language Association (MLA)

Tang, Yu-Chao& Liu, Li-Wei. Robustness of Krasnoselski-Mann's Algorithm for Asymptotically Nonexpansive Mappings. ISRN Mathematical Analysis No. 2011 (2011), pp.1-9.
https://search.emarefa.net/detail/BIM-490614

American Medical Association (AMA)

Tang, Yu-Chao& Liu, Li-Wei. Robustness of Krasnoselski-Mann's Algorithm for Asymptotically Nonexpansive Mappings. ISRN Mathematical Analysis. 2011. Vol. 2011, no. 2011, pp.1-9.
https://search.emarefa.net/detail/BIM-490614

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-490614