A Global Convergence of LS-CD Hybrid Conjugate Gradient Method
Joint Authors
Luo, Zhijun
Dai, Xiaoyu
Yang, Xiangfei
Source
Advances in Numerical Analysis
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-22
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Conjugate gradient method is one of the most effective algorithms for solving unconstrained optimization problem.
In this paper, a modified conjugate gradient method is presented and analyzed which is a hybridization of known LS and CD conjugate gradient algorithms.
Under some mild conditions, the Wolfe-type line search can guarantee the global convergence of the LS-CD method.
The numerical results show that the algorithm is efficient.
American Psychological Association (APA)
Yang, Xiangfei& Luo, Zhijun& Dai, Xiaoyu. 2013. A Global Convergence of LS-CD Hybrid Conjugate Gradient Method. Advances in Numerical Analysis،Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-477983
Modern Language Association (MLA)
Yang, Xiangfei…[et al.]. A Global Convergence of LS-CD Hybrid Conjugate Gradient Method. Advances in Numerical Analysis No. 2013 (2013), pp.1-5.
https://search.emarefa.net/detail/BIM-477983
American Medical Association (AMA)
Yang, Xiangfei& Luo, Zhijun& Dai, Xiaoyu. A Global Convergence of LS-CD Hybrid Conjugate Gradient Method. Advances in Numerical Analysis. 2013. Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-477983
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-477983
