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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2016-12-01
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Series: | Journal of Inequalities and Applications |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13660-016-1239-1 |