New scaled algorithm for non-linear conjugate gradients in unconstrained optimization
2021 ◽
Vol 24
(3)
◽
pp. 1589
Keyword(s):
<p>A new scaled conjugate gradient (SCG) method is proposed throughout this paper, the SCG technique may be a special important generalization conjugate gradient (CG) method, and it is an efficient numerical method for solving nonlinear large scale unconstrained optimization. As a result, we proposed the new SCG method with a strong Wolfe condition (SWC) line search is proposed. The proposed technique's descent property, as well as its global convergence property, are satisfied without the use of any line searches under some suitable assumptions. The proposed technique's efficiency and feasibility are backed up by numerical experiments comparing them to traditional CG techniques.</p>
2008 ◽
Vol 23
(2)
◽
pp. 275-293
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2014 ◽
Vol 556-562
◽
pp. 4023-4026
2018 ◽
Vol 7
(3.28)
◽
pp. 92
2018 ◽
Vol 7
(3.28)
◽
pp. 84
◽
2021 ◽
Vol 6
(10)
◽
pp. 10742-10764
2020 ◽
Vol 20
(2)
◽
pp. 939