A New Spectral Conjugate Gradient Method for Nonlinear Unconstrained Optimization
Abstract
Theconjugate gradient method is widely used to solve large scale unconstrainedoptimization problems. However, the rate of convergence conjugate gradient method is linearunless it restarted. In this study, we present a new spectral conjugategradient modification formula with restart property obtains the globalconvergence and descent properties.In addition, we proposed a new restart condition for Fletcher-Reeves conjugate gradient formula. The...
Paper Details
Title
A New Spectral Conjugate Gradient Method for Nonlinear Unconstrained Optimization
Published Date
Jun 1, 2021
Journal
Volume
17
Issue
6
Pages
598 - 609
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