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dc.contributor.author
Aragón, Adriana Judith  
dc.contributor.author
Fernandez Bonder, Julian  
dc.contributor.author
Rubio, Aurora Diana  
dc.date.available
2024-11-28T09:53:01Z  
dc.date.issued
2023-10  
dc.identifier.citation
Aragón, Adriana Judith; Fernandez Bonder, Julian; Rubio, Aurora Diana; Effective numerical computation of p ( x )–Laplace equations in 2D; Taylor & Francis Ltd; International Journal Of Computer Mathematics; 100; 11; 10-2023; 2111-2123  
dc.identifier.issn
0020-7160  
dc.identifier.uri
http://hdl.handle.net/11336/248830  
dc.description.abstract
In this article we implement a method for the computation of a nonlinear elliptic problem with nonstandard growth driven by the ⁡()−Laplacian operator. Our implementation is based in the decomposition–coordination method that allows us, via an iterative process, to solve in each step a linear differential equation and a nonlinear algebraic equation. Our code is implemented in MatLab in two dimensions and turns out to be extremely efficient from the computational point of view.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Taylor & Francis Ltd  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
P(X)-LAPLACIAN  
dc.subject
FINITE ELEMENTS  
dc.subject
DECOMPOSITION-COORDINATION METHODS  
dc.subject.classification
Matemática Aplicada  
dc.subject.classification
Matemáticas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Effective numerical computation of p ( x )–Laplace equations in 2D  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-11-25T15:48:33Z  
dc.journal.volume
100  
dc.journal.number
11  
dc.journal.pagination
2111-2123  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Aragón, Adriana Judith. Universidad Nacional de San Martin. Escuela de Ciencia y Tecnología. Centro de Matemática Aplicada; Argentina  
dc.description.fil
Fil: Fernandez Bonder, Julian. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina  
dc.description.fil
Fil: Rubio, Aurora Diana. Universidad Nacional de San Martin. Escuela de Ciencia y Tecnología. Centro de Matemática Aplicada; Argentina  
dc.journal.title
International Journal Of Computer Mathematics  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1080/00207160.2023.2263103  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/00207160.2023.2263103