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
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;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6002381
