Multi-dimensional Optimal Order Detection (MOOD) : a very high-order finite volume scheme for conservation laws on unstructured meshes

The Multi-dimensional Optimal Order Detection (MOOD) method is an original Very High-Order Finite Volume (FV) method for conservation laws on unstructured meshes. The method is based on an \textit{a posteriori} degree reduction of local polynomial reconstructions on cells where prescribed stability...

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Detalhes bibliográficos
Autor principal: Clain, Stéphane (author)
Outros Autores: Diot, S. (author), Loubère, R. (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2011
Assuntos:
Finite volume
Polynomial reconstruction
High-order
Euler system
Texto completo:http://hdl.handle.net/1822/14641
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/14641
Descrição
Resumo:The Multi-dimensional Optimal Order Detection (MOOD) method is an original Very High-Order Finite Volume (FV) method for conservation laws on unstructured meshes. The method is based on an \textit{a posteriori} degree reduction of local polynomial reconstructions on cells where prescribed stability conditions are not fulfilled. Numerical experiments on advection and Euler equations problems are drawn to prove the efficiency and competitiveness of the MOOD method.

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