A Conjugate Gradient Algorithm under Yuan-Wei-Lu Line Search Technique for Large-Scale Minimization Optimization Models

Xiangrong Li, Songhua Wang, Zhongzhou Jin and Hongtruong Pham

Mathematical Problems in Engineering, 2018, vol. 2018, 1-11

Abstract:

This paper gives a modified Hestenes and Stiefel (HS) conjugate gradient algorithm under the Yuan-Wei-Lu inexact line search technique for large-scale unconstrained optimization problems, where the proposed algorithm has the following properties: the new search direction possesses not only a sufficient descent property but also a trust region feature; the presented algorithm has global convergence for nonconvex functions; the numerical experiment showed that the new algorithm is more effective than similar algorithms.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:4729318

DOI: 10.1155/2018/4729318

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