Artículo
A new perspective on hierarchical spline spaces for adaptivity
Fecha de publicación:
04/2020
Editorial:
Pergamon-Elsevier Science Ltd
Revista:
Computers & Mathematics With Applications (1987)
ISSN:
0898-1221
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
We introduce a framework for spline spaces of hierarchical type, based on a parent–children relation, which is very convenient for the analysis as well as the implementation of adaptive isogeometric methods. This framework exploits the innate refinement by functions in the B-splines context, rather than by elements or cells, which is more natural in the finite element context. Furthermore, it entails a new language to handle hierarchical spline spaces, which allows to tackle fundamental questions in a very simple manner. For example, it makes it simple to create hierarchical bases with several desired properties with a refinement procedure which has linear complexity, i.e., the resulting bases have cardinality bounded by the number of initially marked functions.
Palabras clave:
HIERARCHICAL SPACES
,
OPTIMALITY FOR ADAPTIVE METHODS
,
SPLINES BASES
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Identificadores
Colecciones
Articulos(CCT - SANTA FE)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - SANTA FE
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - SANTA FE
Citación
Actis, Marcelo Jesús; Morin, Pedro; Pauletti, Miguel Sebastian; A new perspective on hierarchical spline spaces for adaptivity; Pergamon-Elsevier Science Ltd; Computers & Mathematics With Applications (1987); 79; 8; 4-2020; 2276-2303
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