A class of one parameter conjugate gradient methods

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摘要

This paper proposes a class of one parameter conjugate gradient methods, which can be regarded as some kinds of convex combinations of some modified form of PRP and HS methods. The scalar βk has the form of . The convergence of the given methods is analyzed by some unified tools which show the global convergence of the proposed methods. Numerical experiments with the CUTE collections show that the proposed methods are promising.

论文关键词:Unconstrained optimization,Continuous optimization,Conjugate gradient method,Global convergence,Wolfe line search

论文评审过程:Received 27 October 2014, Revised 18 May 2015, Accepted 19 May 2015, Available online 14 June 2015, Version of Record 14 June 2015.

论文官网地址:https://doi.org/10.1016/j.amc.2015.05.115