DocumentCode
2667036
Title
A sufficient descent HS conjugate gradient method and its global convergence for unconstrained optimization
Author
Xu, Chunling ; Sun, Zhongbo
Author_Institution
Coll. of Humanities & Sci., Northeast Normal Univ., Changchun, China
fYear
2012
fDate
23-25 May 2012
Firstpage
889
Lastpage
892
Abstract
In this paper, a modified descent HS conjugate gradient method is proposed for solving unconstrained optimization problems and a new sufficient descent direction is proposed. Under some suitable conditions, theoretical analysis shows that the algorithm is global convergence. Numerical results show that this method is effective in unconstrained minimizing optimization problems.
Keywords
conjugate gradient methods; convergence of numerical methods; minimisation; global convergence; sufficient descent HS conjugate gradient method; unconstrained minimizing optimization problems; Convergence; Educational institutions; Equations; Gradient methods; Nickel; Sun; Conjugate gradient method; Sufficient descent direction; Unconstrained minimizing optimization problems;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6244138
Filename
6244138
Link To Document