The convergence properties of RMIL+ conjugate gradient method under the strong Wolfe line search

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摘要

In Dai (2016), based on the global convergence of RMIL conjugate gradient method, Dai has modified it and called the modified version RMIL+ which has good numerical results and globally convergent under the exact line search. In this paper, we established the sufficient descent property and the global convergence of RMIL+ via strong Wolfe line search method. Moreover, numerical results based on well-known optimization problems show that the modified method is competitive when compare with other conjugate gradient methods.

论文关键词:Conjugate gradient method,Strong Wolfe line search,Sufficient descent property,Global convergence

论文评审过程:Received 30 September 2018, Revised 16 September 2019, Accepted 23 September 2019, Available online 1 October 2019, Version of Record 1 October 2019.

论文官网地址:https://doi.org/10.1016/j.amc.2019.124777