An Efficient Modified AZPRP Conjugate Gradient Method for Large-Scale Unconstrained Optimization Problem
Abstract
To find a solution of unconstrained optimization problems, we normally use a conjugate gradient (CG) method since it does not cost memory or storage of second derivative like Newton’s method or Broyden–Fletcher–Goldfarb–Shanno (BFGS) method. Recently, a new modification of Polak and Ribiere method was proposed with new restart condition to give a so-call AZPRP method. In this paper, we propose a new modification of AZPRP CG method to solve...
Paper Details
Title
An Efficient Modified AZPRP Conjugate Gradient Method for Large-Scale Unconstrained Optimization Problem
Published Date
Apr 26, 2021
Journal
Volume
2021
Pages
1 - 9
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