A new accelerated conjugate gradient method for large-scale unconstrained optimization

A new accelerated conjugate gradient method for large-scale unconstrained optimization

Abstract In this paper, we present a new conjugate gradient method using an acceleration scheme for solving large-scale unconstrained optimization. The generated search direction satisfies both the sufficient descent condition and the Dai–Liao conjugacy condition independent of line search. Moreover...

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Bibliographic Details
Main Authors: Yuting Chen, Mingyuan Cao, Yueting Yang
Format: Article
Language:English
Published: SpringerOpen 2019-11-01
Series:Journal of Inequalities and Applications
Subjects:
Conjugate gradient
Descent condition
Dai–Liao conjugacy condition
Global convergence
Large-scale unconstrained optimization
Online Access:http://link.springer.com/article/10.1186/s13660-019-2238-9

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http://link.springer.com/article/10.1186/s13660-019-2238-9

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