An Improved Conjugate Gradient Method with Global Convergence Property Under the Armijio Line Search
WU Suhua
Abstract：Conjugate gradient methods are a class of important methods for solving large-scale uncon-strained optimization problems.In this paper,we present a modified conjugate gradient method based on the conjugate gradient parameter of Liu et al..The new method has sufficient descent property independent of any line search. We establish the convergence results of the algorithms under the Armijio line search conditions.
Keywords：unconstrained optimizationconjugate gradient methodArmijio line searchsuffcient descent propertyglobal convergence
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 394-397 )