Journal of Jilin University Science Edition ›› 2022, Vol. 60 ›› Issue (2): 247-252.

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Numerical Performance of Several Hybrid Conjugate Gradient Methods

HUANG Yuanyuan, YANG Yingke   

  1. School of Mathematics and Statistics, Henan University of Science & Technology, Luoyang 471023, Henan Province, China
  • Received:2021-06-12 Online:2022-03-26 Published:2022-03-26

Abstract: We considered several hybrid conjugate gradient methods, determined their step length by weak Wolfe line search, and generated the descent direction satisfying the sufficient descent condition by orthogonalization strategy. The effectiveness of these algorithms was verified by CUTEst test problems, and the numerical performance of these algorithms was analyzed.

Key words: unconstrained optimization, hybrid conjugate gradient method, sufficient descent condition, numerical analysis

CLC Number: 

  • O224