A conjugate gradient method for unconstrained optimization problems.
International Journal of Mathematics and Mathematical Sciences (2009)
- Volume: 2009, page Article ID 329623, 14 p.-Article ID 329623, 14 p.
- ISSN: 0161-1712
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topYuan, Gonglin. "A conjugate gradient method for unconstrained optimization problems.." International Journal of Mathematics and Mathematical Sciences 2009 (2009): Article ID 329623, 14 p.-Article ID 329623, 14 p.. <http://eudml.org/doc/227568>.
@article{Yuan2009,
author = {Yuan, Gonglin},
journal = {International Journal of Mathematics and Mathematical Sciences},
keywords = {hybrid method; strong Wolfe-Powell line search rule; global convergence},
language = {eng},
pages = {Article ID 329623, 14 p.-Article ID 329623, 14 p.},
publisher = {Hindawi Publishing Corporation, New York},
title = {A conjugate gradient method for unconstrained optimization problems.},
url = {http://eudml.org/doc/227568},
volume = {2009},
year = {2009},
}
TY - JOUR
AU - Yuan, Gonglin
TI - A conjugate gradient method for unconstrained optimization problems.
JO - International Journal of Mathematics and Mathematical Sciences
PY - 2009
PB - Hindawi Publishing Corporation, New York
VL - 2009
SP - Article ID 329623, 14 p.
EP - Article ID 329623, 14 p.
LA - eng
KW - hybrid method; strong Wolfe-Powell line search rule; global convergence
UR - http://eudml.org/doc/227568
ER -
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