Proximal Gauss-Newton method

dc.contributor.authorMagreñán, Á. Alberto
dc.contributor.authorArgyros, Ioannis K
dc.date2018
dc.date.accessioned2021-02-01T14:20:53Z
dc.date.available2021-02-01T14:20:53Z
dc.descriptionCapítulo del libro "Contemporary study of iterative methods: convergence, dynamics and applications"es_ES
dc.description.abstractIn 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.identifier.doihttps://doi.org/10.1016/B978-0-12-809214-9.00007-3
dc.identifier.isbn9780128094938
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10936
dc.language.isoenges_ES
dc.publisherContemporary study of iterative methods: convergence, dynamics and applicationses_ES
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/B9780128092149000073?via%3Dihubes_ES
dc.rightsrestrictedAccesses_ES
dc.subjectproximal Gauss–Newton methodes_ES
dc.subjectpenalized nonlinear least squares problemses_ES
dc.subjectlocal convergencees_ES
dc.subjectWOS(2)es_ES
dc.titleProximal Gauss-Newton methodes_ES
dc.typebookPartes_ES
opencost.publication.doihttps://doi.org/10.1016/B978-0-12-809214-9.00007-3
reunir.tag~ARIes_ES

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