DocumentCode
2345380
Title
A Modified LS Conjugate Gradient Method and Its Global Convergence
Author
Li, Can ; Long, Yao
Author_Institution
Coll. of Math., Honghe Univ., Mengzi, China
fYear
2011
fDate
15-19 April 2011
Firstpage
502
Lastpage
505
Abstract
In this paper, we propose a modified Liu-Storey conjugate gradient method for solving unconstrained optimization problem. The presented method possesses the sufficient descent property independent of the line search used. Under the suitable conditions, we show that the modified LS method with Armijo-type line search is globally convergent. We also present extensive preliminary numerical experiments to show the efficiency of the proposed method.
Keywords
conjugate gradient methods; convergence; optimisation; search problems; Armijo-type line search; LS conjugate gradient method; Liu-Storey conjugate gradient method; global convergence; modified LS method; sufficient descent property; unconstrained optimization problem; Convergence; Gradient methods; Linear systems; Nickel; Noise measurement; Armoji-type line search; LS method; global convergence; modified LS method;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
Conference_Location
Yunnan
Print_ISBN
978-1-4244-9712-6
Electronic_ISBN
978-0-7695-4335-2
Type
conf
DOI
10.1109/CSO.2011.40
Filename
5957712
Link To Document