A New Conjugate Gradient Coefficient for Unconstrained Optimization Based On Dai-Liao
Keyword(s):
This paper, proposes a new conjugate gradient method for unconstrained optimization based on Dai-Liao (DL) formula; descent condition and sufficient descent condition for our method are provided. The numerical results and comparison show that the proposed algorithm is potentially efficient when we compare with (PR) depending on number of iterations (NOI) and the number of functions evaluation (NOF).
2011 ◽
Vol 2011
(1)
◽
2018 ◽
Vol 179
(3)
◽
pp. 944-961
◽
2019 ◽
Vol 38
(7)
◽
pp. 227-231
2007 ◽
Vol 189
(2)
◽
pp. 1241-1245
◽
2015 ◽
Vol 281
◽
pp. 239-249
◽
A Self-Adjusting Conjugate Gradient Method with Sufficient Descent Condition and Conjugacy Condition
2014 ◽
Vol 165
(1)
◽
pp. 225-241
◽