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dc.contributor.author
Martinez Arraigada, Maria de Los Angeles  
dc.contributor.author
Fernández Ferreyra, Damián Roberto  
dc.date.available
2018-09-17T20:52:21Z  
dc.date.issued
2017-10  
dc.identifier.citation
Martinez Arraigada, Maria de Los Angeles; Fernández Ferreyra, Damián Roberto; A quasi-Newton modified LP-Newton method; Taylor & Francis Ltd; Optimization Methods And Software; 10-2017; 1-16  
dc.identifier.issn
1055-6788  
dc.identifier.uri
http://hdl.handle.net/11336/59993  
dc.description.abstract
We consider a method to solve constrained system of nonlinear equations based on a modification of the Linear-Programming-Newton method and replacing the first-order information with a quasi-Newton secant update, providing a computationally simple method. The proposed strategy combines good properties of two methods: the least change secant update for unconstrained system of nonlinear equations with isolated solutions and the Linear-Programming-Newton for constrained nonlinear system of equations with possible nonisolated solutions. We analyse the local convergence of the proposed method under a standard error bound condition proving its linear convergence for nonisolated solutions. Numerical experiments were done in order to show the claimed convergence rate.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Taylor & Francis Ltd  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Constrained Nonlinear System of Equations  
dc.subject
Local Convergence  
dc.subject
Nonisolated Solutions  
dc.subject
Quasi-Newton Method  
dc.subject.classification
Matemática Pura  
dc.subject.classification
Matemáticas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
A quasi-Newton modified LP-Newton method  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-09-14T19:03:17Z  
dc.journal.pagination
1-16  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Martinez Arraigada, Maria de Los Angeles. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigación y Estudios de Matemática. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina  
dc.description.fil
Fil: Fernández Ferreyra, Damián Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigación y Estudios de Matemática. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina  
dc.journal.title
Optimization Methods And Software  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/10556788.2017.1384955  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/10556788.2017.1384955