DocumentCode
3209252
Title
Convergence of modified conjugate gradient methods without line search
Author
Zhang, Bo
Author_Institution
Feixian Sch., Linyi Normal Univ., Linyi, China
Volume
2
fYear
2010
fDate
13-14 Sept. 2010
Firstpage
328
Lastpage
331
Abstract
In this paper, a class of modified conjugate gradient methods are proposed, which have the following attractive properties: (1) the step length is determined by a formula; (2) the iterative direction is always a sufficient descent direction without utilizing the line search. Under the boundedness of the level set and the Lipschitz continuity of the underlying function, the proposed methods are global convergent. Some numerical results are given to illustrate the effectiveness of the proposed methods.
Keywords
conjugate gradient methods; convergence of numerical methods; optimisation; set theory; Lipschitz function continuity; conjugate gradient methods; convergence; iterative direction; level set; line search; step length;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7705-0
Type
conf
DOI
10.1109/CINC.2010.5643723
Filename
5643723
Link To Document