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

Abstract 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 projec...

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Bibliografiske detaljer

Principais autores:	Keat Hee Lim, Wah June Leong
Format:	Artigo
Sprog:	Inglês
Udgivet:	SpringerOpen 2024-12-01
Serier:	Journal of Inequalities and Applications
Fag:	Large-scale optimization Quasi-Newton-type methods Weak secant relations Least-change updating scheme Armijo line search
Online adgang:	https://doi.org/10.1186/s13660-024-03240-z
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