A conjugate gradient method with sufficient descent and global convergence for unconstrained nonlinear optimization.

Liu, Hailin; Cheng, Sui Sun; Li, Xiaoyong

Applied Mathematics E-Notes [electronic only] (2011)

  • Volume: 11, page 139-147
  • ISSN: 1607-2510

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Liu, Hailin, Cheng, Sui Sun, and Li, Xiaoyong. "A conjugate gradient method with sufficient descent and global convergence for unconstrained nonlinear optimization.." Applied Mathematics E-Notes [electronic only] 11 (2011): 139-147. <http://eudml.org/doc/225329>.

@article{Liu2011,
author = {Liu, Hailin, Cheng, Sui Sun, Li, Xiaoyong},
journal = {Applied Mathematics E-Notes [electronic only]},
keywords = {unconstrained optimization; conjugate gradient methods; global convergence; inexact line search; numerical examples},
language = {eng},
pages = {139-147},
publisher = {Department of Mathematics, Tsing Hua University},
title = {A conjugate gradient method with sufficient descent and global convergence for unconstrained nonlinear optimization.},
url = {http://eudml.org/doc/225329},
volume = {11},
year = {2011},
}

TY - JOUR
AU - Liu, Hailin
AU - Cheng, Sui Sun
AU - Li, Xiaoyong
TI - A conjugate gradient method with sufficient descent and global convergence for unconstrained nonlinear optimization.
JO - Applied Mathematics E-Notes [electronic only]
PY - 2011
PB - Department of Mathematics, Tsing Hua University
VL - 11
SP - 139
EP - 147
LA - eng
KW - unconstrained optimization; conjugate gradient methods; global convergence; inexact line search; numerical examples
UR - http://eudml.org/doc/225329
ER -

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