From: Line search fixed point algorithms based on nonlinear conjugate gradient directions: application to constrained smooth convex optimization
Algorithm
SR ( \(\boldsymbol{d:=10^{3}}\) )
SR ( \(\boldsymbol{d:=10^{4}}\) )
FR
19.7%
28.1%
PRP+
100%
HS+
98.9%
DY
21.6%
27.2%
HZ
20.0%