MBA Office/M.I.S. Department
College of Business Administration
Gulf University for Science and Technology (GUST)
P.O. Box 7207, Hawally 32093, KUWAIT
Abstract. A new weighted multi-update conjugate gradient method is proposed for
unconstrained optimization which is considered as memoryless variable metric
methods. It is derived for inexact line searches and evaluated numerically
against Shanno's two memoryless quasi-Newton methods. The numerical results
indicate that, in general, the new method is numerically superior to
Shanno's methods.