Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/14641

TitleMulti-dimensional Optimal Order Detection (MOOD) : a very high-order finite volume scheme for conservation laws on unstructured meshes
Author(s)Clain, Stéphane
Diot, S.
Loubère, R.
KeywordsFinite volume
Polynomial reconstruction
High-order
Euler system
Issue date2011
PublisherSpringer Verlag
Abstract(s)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.
TypeConference paper
URIhttp://hdl.handle.net/1822/14641
ISSN2190-5614
Publisher versionhttp://www.springer.com/mathematics
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:DMA - Artigos (Papers)

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