DocumentCode
3036394
Title
A modified conjugate gradient algorithm for optimization problems
Author
Yuan, Gonglin ; Wei, Zengxin ; Chen, Hai
Author_Institution
Coll. of Math. & Inf. Sci., Guangxi Univ., Nanning, China
fYear
2011
fDate
26-28 July 2011
Firstpage
6175
Lastpage
6178
Abstract
A modified conjugate gradient algorithm is presented, which possesses the sufficient descent condition without any line search. The global convergence with the weak Wolfe-Powell (WWP) line search rule is established for nonconvex function under suitable conditions. Numerical results show that the given method is interesting.
Keywords
concave programming; conjugate gradient methods; conjugate gradient algorithm; descent condition; global convergence; nonconvex function; optimization problems; weak Wolfe-Powell line search rule; Convergence; Educational institutions; Gradient methods; Information science; Iterative methods; conjugate gradient; convergence; sufficient descent;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6002381
Filename
6002381
Link To Document