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Proximal Gauss-Newton method
dc.contributor.author | Magreñán, Á. Alberto | |
dc.contributor.author | Argyros, Ioannis K | |
dc.date | 2018 | |
dc.date.accessioned | 2021-02-01T14:20:53Z | |
dc.date.available | 2021-02-01T14:20:53Z | |
dc.identifier.isbn | 9780128094938 | |
dc.identifier.uri | https://reunir.unir.net/handle/123456789/10936 | |
dc.description | Capítulo del libro "Contemporary study of iterative methods: convergence, dynamics and applications" | es_ES |
dc.description.abstract | In this chapter we extend the solvability of penalized nonlinear least squares problems using the proximal Gauss–Newton method. Moreover, a numerical example validating the theoretical results is also presented. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Contemporary study of iterative methods: convergence, dynamics and applications | es_ES |
dc.relation.uri | https://www.sciencedirect.com/science/article/pii/B9780128092149000073?via%3Dihub | es_ES |
dc.rights | restrictedAccess | es_ES |
dc.subject | proximal Gauss–Newton method | es_ES |
dc.subject | penalized nonlinear least squares problems | es_ES |
dc.subject | local convergence | es_ES |
dc.subject | WOS(2) | es_ES |
dc.title | Proximal Gauss-Newton method | es_ES |
dc.type | bookPart | es_ES |
reunir.tag | ~ARI | es_ES |
dc.identifier.doi | https://doi.org/10.1016/B978-0-12-809214-9.00007-3 |
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