Memoryless quasi-Newton-type methods via some weak secant relations for large-scale unconstrained optimization

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Memoryless quasi-Newton-type methods via some weak secant relations for large-scale unconstrained optimization

This article presents two variants of memoryless quasi-Newton methods with backtracking line search for large-scale unconstrained minimization. These updating methods are derived by means of a least-change updating strategy subjected to some weaker form of secant relation obtained by projecting the...

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Bibliographic Details
Main Authors:	Lim, Keat Hee, Leong, Wah June
Format:	Article
Language:	English
Published:	Springer Nature 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/114469/ http://psasir.upm.edu.my/id/eprint/114469/1/114469.pdf

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