Title
Sufficient Descent Conjugate Gradient Methods For Large-Scale Optimization Problems
Abstract
Sufficient descent condition is very crucial in establishing the global convergence of nonlinear conjugate gradient method. In this paper, we modified two conjugate gradient methods such that both methods satisfy this property. Under suitable conditions, we prove the global convergence of the proposed methods. Numerical results show that the proposed methods are efficient for the given test problems.
Year
DOI
Venue
2011
10.1080/00207160.2011.592938
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS
Keywords
Field
DocType
conjugate gradient method, sufficient descent, unconstrained optimization, Wolfe line search, global convergence
Conjugate gradient method,Gradient method,Gradient descent,Mathematical optimization,Proximal Gradient Methods,Nonlinear conjugate gradient method,Mathematics,Derivation of the conjugate gradient method,Conjugate residual method,Biconjugate gradient method
Journal
Volume
Issue
ISSN
88
16
0020-7160
Citations 
PageRank 
References 
0
0.34
9
Authors
3
Name
Order
Citations
PageRank
Xiuyun Zheng1175.42
Hongwei Liu27812.29
Aiguo Lu3739224.20