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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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SpringerOpen
2024-12-01
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| Serie: | Journal of Inequalities and Applications |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1186/s13660-024-03240-z |
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