DocumentCode
2513188
Title
Two hybrid conjugate gradient method and its global convergence for unconstrained optimization
Author
Sun, Zhongbo
Author_Institution
Dept. of Math. Educ., Northeast Normal Univ., Changchun, China
fYear
2011
fDate
23-25 May 2011
Firstpage
828
Lastpage
832
Abstract
In this paper, we propose two hybrid conjugate gradient methods, which produce sufficient descent direction at every iteration. The theoretical analysis shows that the algorithm is global convergence under some suitable conditions. The numerical results show that both hybrid algorithms are efficient for the given test problems from the Matlab library.
Keywords
conjugate gradient methods; convergence; iterative methods; optimisation; Matlab library; global convergence; hybrid conjugate gradient method; iteration; sufficient descent direction; unconstrained optimization; Acceleration; Algorithm design and analysis; Convergence; Gradient methods; Minimization; Sun; Hybrid conjugate gradient method; Sufficient descent direction; Unconstrained optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location
Mianyang
Print_ISBN
978-1-4244-8737-0
Type
conf
DOI
10.1109/CCDC.2011.5968297
Filename
5968297
Link To Document