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Alternative structured spectral gradient algorithms for solving nonlinear least-squares problems
The study of efficient iterative algorithms for addressing nonlinear least-squares (NLS) problems is of great importance. The NLS problems, which belong to a special class of unconstrained optimization problems, are of particular interest because of the special structure of their gradients and Hessi...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319484/ https://www.ncbi.nlm.nih.gov/pubmed/34345725 http://dx.doi.org/10.1016/j.heliyon.2021.e07499 |