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 :
بازگشت