A modified conjugate gradient coefficient under exact line search for unconstrained optimization
2018 ◽
Vol 7
(3.28)
◽
pp. 84
◽
Keyword(s):
The conjugate gradient (CG) method is a well-known solver for large-scale unconstrained optimization problems. In this paper, a modified CG method based on AMR* and CD method is presented. The resulting algorithm for the new CG method is proved to be globally convergent under exact line search both under some mild conditions. Comparisons of numerical performance are made involving the new method and four other CG methods. The results show that the proposed method is more efficient.
2018 ◽
Vol 7
(3.28)
◽
pp. 92
2020 ◽
Vol 20
(2)
◽
pp. 939
2019 ◽
Vol 8
(2S3)
◽
pp. 368-373
2018 ◽
Vol 7
(2.14)
◽
pp. 21
2006 ◽
Vol 179
(2)
◽
pp. 407-430
◽
2018 ◽
Vol 2018
(1)
◽
2018 ◽
Vol 13
(03)
◽
pp. 2050059