New adaptive conjugate gradient methods choices for unconstrained optimization

In this paper, we present two conjugate gradient methods choices for solving unconstrained optimization problems. This attempts is to find suitable choices for parameter of a nonlinear conjugate gradient method proposed by Dai and Liao based on the matrix analysis and using the memoryless BFGS updat...

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Bibliographic Details
Main Author: Hawraz Jabbar
Format: Article
Language:English
Published: BİSKA Bilisim Company 2018-12-01
Series:New Trends in Mathematical Sciences
Subjects:
Online Access:https://ntmsci.com/ajaxtool/GetArticleByPublishedArticleId?PublishedArticleId=8488