Abstract
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.
Funding Statement
The authors are supported in part by the Grant-in-Aid for Scientific Research (C) 25330030 of Japan Society for the Promotion of Science.
Citation
Yasushi Narushima. Hiroshi Yabe. "A survey of sufficient descent conjugate gradient methods for unconstrained optimization." SUT J. Math. 50 (2) 167 - 203, June 2014. https://doi.org/10.55937/sut/1424782608
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