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A new limited memory method for unconstrained nonlinear least squares
This paper suggests a new limited memory trust region algorithm for large unconstrained black box least squares problems, called LMLS. Main features of LMLS are a new non-monotone technique, a new adaptive radius strategy, a new Broyden-like algorithm based on the previous good points, and a heurist...
Autores principales: | Kimiaei, Morteza, Neumaier, Arnold |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755706/ https://www.ncbi.nlm.nih.gov/pubmed/35069003 http://dx.doi.org/10.1007/s00500-021-06415-8 |
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