Diagonal quasi-Newton methods via least change
updating principle with weighted Frobenius norm

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Diagonal quasi-Newton methods via least change updating principle with weighted Frobenius norm

This paper presents a class of low memory quasi-Newton methods with standard backtracking line search for large-scale unconstrained minimization. The methods are derived by means of least change updating technique analogous to that for the DFP method except that the full quasi-Newton matrix has b...

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Bibliographic Details
Main Authors:	Leong, Wah June, Enshaei, Sharareh, Kek, Sie Long
Format:	Article
Language:	English
Published:	Springer 2021
Subjects:	T Technology (General)
Online Access:	http://eprints.uthm.edu.my/1127/ http://eprints.uthm.edu.my/1127/1/J12010_5a7e0282f614f0890c3fed53dbfc3ddd.pdf

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