TY - JOUR
T1 - A survey of sufficient descent conjugate gradient methods for unconstrained optimization
AU - Narushima, Yasushi
AU - Yabe, Hiroshi
PY - 2014/1/1
Y1 - 2014/1/1
N2 - In this decade, nonlinear conjugate gradient methods have been focused on as effective numerical methods for solving large-scale unconstrained optimization problems. Especially, nonlinear conjugate gradient methods with the sufficient descent property have been studied by many researchers. In this paper, we review sufficient descent nonlinear conjugate gradient methods.
AB - In this decade, nonlinear conjugate gradient methods have been focused on as effective numerical methods for solving large-scale unconstrained optimization problems. Especially, nonlinear conjugate gradient methods with the sufficient descent property have been studied by many researchers. In this paper, we review sufficient descent nonlinear conjugate gradient methods.
KW - Conjugate gradient method
KW - Global convergence
KW - Sufficient descent condition
KW - Unconstrained optimization
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M3 - Article
AN - SCOPUS:84936998325
SN - 0916-5746
VL - 50
SP - 167
EP - 203
JO - SUT Journal of Mathematics
JF - SUT Journal of Mathematics
IS - 2
ER -