An Efficient Hybrid Conjugate Gradient Method for Unconstrained Optimization

Volume: 103, Issue: 1, Pages: 33 - 47
Published: Mar 1, 2001
Abstract
Recently, we propose a nonlinear conjugate gradient method, which produces a descent search direction at every iteration and converges globally provided that the line search satisfies the weak Wolfe conditions. In this paper, we will study methods related to the new nonlinear conjugate gradient method. Specifically, if the size of the scalar β null null null null null null null null null null null null null null null null null k null null null...
Paper Details
Title
An Efficient Hybrid Conjugate Gradient Method for Unconstrained Optimization
Published Date
Mar 1, 2001
Volume
103
Issue
1
Pages
33 - 47
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