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dc.date.accessioned 2022-03-30T17:42:58Z
dc.date.available 2022-03-30T17:42:58Z
dc.date.issued 2014-05
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/133575
dc.description.abstract The aim of this paper is to extend the applicability of the incomplete oblique projections method (IOP) previously introduced by the authors for solving inconsistent linear systems to the box constrained case. The new algorithm employs incomplete projections onto the set of solutions of the augmented system Ax − r = b, together with the box constraints, based on a scheme similar to the one of IOP, adding the conditions for accepting an approximate solution in the box. The theoretical properties of the new algorithm are analyzed, and numerical experiences are presented comparing its performance with some well-known methods. en
dc.format.extent 17-32 es
dc.language en es
dc.subject Inconsistent systems es
dc.subject Box constrained es
dc.subject Incomplete projections es
dc.title On the incomplete oblique projections method for solving box constrained least squares problems en
dc.type Articulo es
sedici.identifier.other doi:10.1007/s11075-013-9721-z es
sedici.identifier.issn 1017-1398 es
sedici.identifier.issn 1572-9265 es
sedici.creator.person Scolnik, Hugo Daniel es
sedici.creator.person Echebest, Nélida Ester es
sedici.creator.person Guardarucci, María Teresa es
sedici.subject.materias Ingeniería es
sedici.subject.materias Matemática es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ingeniería es
mods.originInfo.place Facultad de Ciencias Exactas es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution 4.0 International (CC BY 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Numerical Algorithms es
sedici.relation.journalVolumeAndIssue vol. 66, no. 1 es


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Creative Commons Attribution 4.0 International (CC BY 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 4.0 International (CC BY 4.0)