A scaled three-term conjugate gradient method for unconstrained optimization

A scaled three-term conjugate gradient method for unconstrained optimization

Abstract Conjugate gradient methods play an important role in many fields of application due to their simplicity, low memory requirements, and global convergence properties. In this paper, we propose an efficient three-term conjugate gradient method by utilizing the DFP update for the inverse Hessia...

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Bibliographic Details
Main Authors: Ibrahim Arzuka, Mohd R Abu Bakar, Wah June Leong
Format: Article
Language:English
Published: SpringerOpen 2016-12-01
Series:Journal of Inequalities and Applications
Subjects:
unconstrained optimization
nonlinear conjugate gradient method
quasi-Newton methods
Online Access:http://link.springer.com/article/10.1186/s13660-016-1239-1

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