On the Strong Convergence of a Sufficient Descent Polak-Ribière-Polyak Conjugate Gradient Method

Joint Authors

Sun, Min
Liu, Jing

Source

Abstract and Applied Analysis

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-02-23

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Mathematics

Abstract EN

Recently, Zhang et al.

proposed a sufficient descent Polak-Ribière-Polyak (SDPRP) conjugate gradient method for large-scale unconstrained optimization problems and proved its global convergence in the sense that lim infk→∞∥∇f(xk)∥=0 when an Armijo-type line search is used.

In this paper, motivated by the line searches proposed by Shi et al.

and Zhang et al., we propose two new Armijo-type line searches and show that the SDPRP method has strong convergence in the sense that limk→∞∥∇f(xk)∥=0 under the two new line searches.

Numerical results are reported to show the efficiency of the SDPRP with the new Armijo-type line searches in practical computation.

American Psychological Association (APA)

Sun, Min& Liu, Jing. 2014. On the Strong Convergence of a Sufficient Descent Polak-Ribière-Polyak Conjugate Gradient Method. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1013635

Modern Language Association (MLA)

Sun, Min& Liu, Jing. On the Strong Convergence of a Sufficient Descent Polak-Ribière-Polyak Conjugate Gradient Method. Abstract and Applied Analysis No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1013635

American Medical Association (AMA)

Sun, Min& Liu, Jing. On the Strong Convergence of a Sufficient Descent Polak-Ribière-Polyak Conjugate Gradient Method. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1013635

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1013635