Nonlinear conjugate gradient methods with sufficient descent condition for large-scale unconstrained optimization.

Zhang, Jianguo, Xiao, Yunhai, and Wei, Zengxin. "Nonlinear conjugate gradient methods with sufficient descent condition for large-scale unconstrained optimization.." Mathematical Problems in Engineering 2009 (2009): Article ID 243290, 16 p.-Article ID 243290, 16 p.. <http://eudml.org/doc/45812>.

@article{Zhang2009,
author = {Zhang, Jianguo, Xiao, Yunhai, Wei, Zengxin},
journal = {Mathematical Problems in Engineering},
keywords = {large-scale; comparison of methods; nonlinear conjugate gradient-type methods; unconstrained optimization; global convergence; numerical results; PRP method},
language = {eng},
pages = {Article ID 243290, 16 p.-Article ID 243290, 16 p.},
publisher = {Hindawi Publishing Corporation, New York},
title = {Nonlinear conjugate gradient methods with sufficient descent condition for large-scale unconstrained optimization.},
url = {http://eudml.org/doc/45812},
volume = {2009},
year = {2009},
}

TY - JOUR
AU - Zhang, Jianguo
AU - Xiao, Yunhai
AU - Wei, Zengxin
TI - Nonlinear conjugate gradient methods with sufficient descent condition for large-scale unconstrained optimization.
JO - Mathematical Problems in Engineering
PY - 2009
PB - Hindawi Publishing Corporation, New York
VL - 2009
SP - Article ID 243290, 16 p.
EP - Article ID 243290, 16 p.
LA - eng
KW - large-scale; comparison of methods; nonlinear conjugate gradient-type methods; unconstrained optimization; global convergence; numerical results; PRP method
UR - http://eudml.org/doc/45812
ER -