A modified three-term PRP conjugate gradient algorithm for optimization models

A modified three-term PRP conjugate gradient algorithm for optimization models

Abstract The nonlinear conjugate gradient (CG) algorithm is a very effective method for optimization, especially for large-scale problems, because of its low memory requirement and simplicity. Zhang et al. (IMA J. Numer. Anal. 26:629-649, 2006) firstly propose a three-term CG algorithm based on the...

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Bibliographic Details
Main Author: Yanlin Wu
Format: Article
Language:English
Published: SpringerOpen 2017-05-01
Series:Journal of Inequalities and Applications
Subjects:
conjugate gradient
sufficient descent
trust region
Online Access:http://link.springer.com/article/10.1186/s13660-017-1373-4

Internet

http://link.springer.com/article/10.1186/s13660-017-1373-4

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