A high-order finite volume method for systems of conservation laws - Multi-dimensional Optimal Order Detection (MOOD)
By Stéphane Louis Clain, Steven Diot, Raphaël Loubère. Journal of Computational Physics, 2011
330 citations recorded by the source corpus.
Subfields: Computational Mechanics
View Paper: https://www.semanticscholar.org/paper/af1d61529f45896a4e4b101ff24aa5cfd292b0f4
How researchers see this paper
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In Computational Mechanics
- Michael Dumbser
- Chi-Wang Shu
- Raphaël Loubère
- Steven Diot
- Olindo Zanotti
- Eleuterio F. Toro
- Dinshaw S. Balsara
- Jianxian Qiu
Citations in the corpus
- A posteriori subcell limiting of the discontinuous Galerkin finite element method for hyperbolic conservation laws (2014, methodology): “We refer the reader to [21, 29, 30, 74] for more details.”
- An efficient class of WENO schemes with adaptive order (2016, background): “We also note that there is a modest analogy between MOOD (Multidimensional Optimal Order Detection) schemes (Clain, Diot and Loubère [5], Diot, Clain and Loubère [8], Diot, Loubère and Clain [9], Dumbser et al. [11]) which can have arbitrary order of accuracy between some designed maximum and some d”