The Global Convergence of a New Spectral Conjugate Gradient Method

DOI

10.2991/aiie-15.2015.131How to use a DOI?

Keywords

sufficient decent; conjugate gradient method; line search; global convergence

Abstract

In this pager, we propose a new spectral Conjugate Gradient method to solve unconstrained optimization problems. It has the following properties: (1) the new method satisfies the sufficient descent condition with any line searches condition; (2) this method possesses inherent properties when k 0 (3) under the strong Wolfe line search the method is globally convergent. Preliminary numerical results show that method is very efficient.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - W.Q. Zeng
AU  - H.L. Liu
PY  - 2015/07
DA  - 2015/07
TI  - The Global Convergence of a New Spectral Conjugate Gradient Method
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 484
EP  - 487
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.131
DO  - 10.2991/aiie-15.2015.131
ID  - Zeng2015/07
ER  -