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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/114469/1/114469.pdf http://psasir.upm.edu.my/id/eprint/114469/ https://journalofinequalitiesandapplications.springeropen.com/articles/10.1186/s13660-024-03240-z |
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