Nonlinear Conjugate Gradient Methods with Wolfe Type Line Search

Joint Authors

Chen, Yuan-yuan
Du, Shou-qiang

Source

Abstract and Applied Analysis

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-5, 5 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-03-14

Country of Publication

Egypt

No. of Pages

5

Main Subjects

Mathematics

Abstract EN

Nonlinear conjugate gradient method is one of the useful methods for unconstrained optimization problems.

In this paper, we consider three kinds of nonlinear conjugate gradient methods with Wolfe type line search for unstrained optimization problems.

Under some mild assumptions, the global convergence results of the given methods are proposed.

The numerical results show that the nonlinear conjugate gradient methods with Wolfe type line search are efficient for some unconstrained optimization problems.

American Psychological Association (APA)

Chen, Yuan-yuan& Du, Shou-qiang. 2013. Nonlinear Conjugate Gradient Methods with Wolfe Type Line Search. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-495174

Modern Language Association (MLA)

Chen, Yuan-yuan& Du, Shou-qiang. Nonlinear Conjugate Gradient Methods with Wolfe Type Line Search. Abstract and Applied Analysis No. 2013 (2013), pp.1-5.
https://search.emarefa.net/detail/BIM-495174

American Medical Association (AMA)

Chen, Yuan-yuan& Du, Shou-qiang. Nonlinear Conjugate Gradient Methods with Wolfe Type Line Search. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-495174

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-495174