期刊名称：An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
印刷版ISSN：2146-5703
出版年度：2020
卷号：10
期号：2
页码：198-205
DOI：10.11121/ijocta.01.2020.00859
出版社：An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
摘要：Conjugate gradient (CG) methods are among the most efficient numerical methods for solving unconstrained optimization problems. This is due to their simplicty and less computational cost in solving large-scale nonlinear problems. In this paper, we proposed some spectral CG methods using the classical CG search direction. The proposed methods are applied to real-life problems in regression analysis. Their convergence proof was establised under exact line search. Numerical results has shown that the proposed methods are efficient and promising.
关键词：Sufficient descent property;Exact line search;Regression analysis;Spectral CG
