A New Conjugate Gradient Method with Exact Line Search
Volume: 7, Issue: 4.33, Pages: 521 - 521
Published: Dec 9, 2018
Abstract
The nonlinear conjugate gradient (CG) method is a widely used approach for solving large-scale optimization problems in many fields, such as physics, engineering, economics, and design. The efficiency of this method is mainly attributable to its global convergence properties and low memory requirement. In this paper, a new conjugate gradient coefficient is proposed based on the Aini-Rivaie-Mustafa (ARM) method. Furthermore, the proposed method...
Paper Details
Title
A New Conjugate Gradient Method with Exact Line Search
Published Date
Dec 9, 2018
Volume
7
Issue
4.33
Pages
521 - 521
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