2011
DOI: 10.1016/j.jcp.2011.02.026
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A high-order finite volume method for systems of conservation laws—Multi-dimensional Optimal Order Detection (MOOD)

Abstract: a b s t r a c tIn this paper, we investigate an original way to deal with the problems generated by the limitation process of high-order finite volume methods based on polynomial reconstructions. Multi-dimensional Optimal Order Detection (MOOD) breaks away from classical limitations employed in high-order methods. The proposed method consists of detecting problematic situations after each time update of the solution and of reducing the local polynomial degree before recomputing the solution. As multi-dimension… Show more

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Cited by 277 publications
(351 citation statements)
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“…Very recently, a promising alternative has been proposed by Dumbser et al (2014), which is based on a previous idea of Clain et al (2011) and Diot et al (2012) called MOOD (multi-dimensional optimal order detection), and which adopts an a posteriori approach to the problem of limiting of high order schemes in the finite volume framework. In a few words, the novel a posteriori DG limiter method of Dumbser et al (2014) consists of (i) computing the solution by means of an unlimited ADER-DG scheme, (ii) detecting a posteriori the troubled cells by applying a simple discrete maximum principle (DMP) and positivity of density and pressure on the discrete solution, (iii) creating a local sub-grid within these troubled DG cells, and (iv) recomputing the discrete solution at the sub-grid level via a more robust Total Variation Diminishing (TVD) or Weighted Essentially Non Oscillatory (WENO) finite volume scheme.…”
Section: Introductionmentioning
confidence: 99%
“…Very recently, a promising alternative has been proposed by Dumbser et al (2014), which is based on a previous idea of Clain et al (2011) and Diot et al (2012) called MOOD (multi-dimensional optimal order detection), and which adopts an a posteriori approach to the problem of limiting of high order schemes in the finite volume framework. In a few words, the novel a posteriori DG limiter method of Dumbser et al (2014) consists of (i) computing the solution by means of an unlimited ADER-DG scheme, (ii) detecting a posteriori the troubled cells by applying a simple discrete maximum principle (DMP) and positivity of density and pressure on the discrete solution, (iii) creating a local sub-grid within these troubled DG cells, and (iv) recomputing the discrete solution at the sub-grid level via a more robust Total Variation Diminishing (TVD) or Weighted Essentially Non Oscillatory (WENO) finite volume scheme.…”
Section: Introductionmentioning
confidence: 99%
“…We dynamical determine the CPD map using a a posteriori MOOD-like approach developed in [13,16,17]. Namely, for a given stage k and its associated map M k , a candidate solution Φ k is computed.…”
Section: Mood Loopmentioning
confidence: 99%
“…For example, the positivity preserving is a consequence of the TVD restriction on the reconstruction but is not directly imposed as a restriction per se. The Multidimensional Optimal Order Method (MOOD) has been designed in [13,16,17] on different paradigms. It is an a posteriori method since the modification of the polynomial reconstruction is performed after calculating a candidate solution.…”
mentioning
confidence: 99%
“…The technique is based on specific polynomial reconstructions used for the fluxes (Hernández, 2002;Ollivier-Gooch and Altena, 2002;Toro and Hidalgo, 2009;Toro, 2009;Clain et al, 2011; The organization of the paper is the following. Section 2 is devoted to the harmonic operator, where we introduce the mesh, the generic finite volume formulation, and the polynomial reconstruction operator to design the high-order finite volume scheme.…”
Section: Introductionmentioning
confidence: 99%