A new modified RMIL CG method with global convergence properties

Published: Jan 1, 2019
Abstract
The Conjugate Gradient (CG) method is an approach commonly used to solve large-scale optimization issues. This method is considered efficient for its properties of global convergence and low requirements for memory. In this study, we proposed a novel CG coefficient γk using the method developed by Rivaie-Mustafa-Ismail-Leong (RMIL). The suggested technique is shown to have global convergence under exact line search. This is reinforced by the...
Paper Details
Title
A new modified RMIL CG method with global convergence properties
Published Date
Jan 1, 2019
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