Title :
A sufficient descent HS conjugate gradient method and its global convergence for unconstrained optimization
Author :
Xu, Chunling ; Sun, Zhongbo
Author_Institution :
Coll. of Humanities & Sci., Northeast Normal Univ., Changchun, China
Abstract :
In this paper, a modified descent HS conjugate gradient method is proposed for solving unconstrained optimization problems and a new sufficient descent direction is proposed. Under some suitable conditions, theoretical analysis shows that the algorithm is global convergence. Numerical results show that this method is effective in unconstrained minimizing optimization problems.
Keywords :
conjugate gradient methods; convergence of numerical methods; minimisation; global convergence; sufficient descent HS conjugate gradient method; unconstrained minimizing optimization problems; Convergence; Educational institutions; Equations; Gradient methods; Nickel; Sun; Conjugate gradient method; Sufficient descent direction; Unconstrained minimizing optimization problems;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244138
