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

 Title: Multi-dimensional Optimal Order Detection (MOOD) : a very high-order finite volume scheme for conservation laws on unstructured meshes Author(s): Clain, StéphaneDiot, S.Loubère, R. Keywords: Finite volumePolynomial reconstructionHigh-orderEuler system Issue date: 2011 Publisher: Springer 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. Type: Conference paper URI: http://hdl.handle.net/1822/14641 ISSN: 2190-5614 Publisher version: http://www.springer.com/mathematics Peer-Reviewed: yes Access: Restricted access (UMinho) Appears in Collections: DMA - Artigos (Papers)

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