DocumentCode
524625
Title
A Nonmonotone Conjugate Gradient Method for Nonlinear Optimization
Author
Song, Ying ; Liu, Liying
Author_Institution
Coll. of Math. Sci., Liaocheng Univ., Liaocheng, China
Volume
1
fYear
2010
fDate
28-31 May 2010
Firstpage
132
Lastpage
135
Abstract
In this paper, a no monotone conjugate gradient method for nonlinear optimization is proposed. Under weaker assumption on search direction dk and the mild assumptions on objective function f, the global convergence of the method is established.
Keywords
Convergence of numerical methods; Educational institutions; Gradient methods; Iterative methods; Mathematics; Newton method; Optimization methods; Sun; conjugate gradient method; global convergence; nonlinear optimization; nonmonotone line search;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Optimization (CSO), 2010 Third International Joint Conference on
Conference_Location
Huangshan, Anhui, China
Print_ISBN
978-1-4244-6812-6
Electronic_ISBN
978-1-4244-6813-3
Type
conf
DOI
10.1109/CSO.2010.218
Filename
5532962
Link To Document