A New Family of High Order Unstructured MOOD and ADER Finite Volume Schemes for Multidimensional Systems of Hyperbolic Conservation Laws

To specify the discrete optimal control problem, in particular, the approximation of the control parameter u and the cost functional J , we focus on the high order

This paper presents a high-order polynomial finite volume method named Multi-dimensional Optimal Order Detection (MOOD) for conservation laws.. Contrarily to classical

We present a new finite volume scheme based on the Polynomial Reconstruction Operator (PRO-scheme) for the linear convection diffusion problem with structured and unstructured

The discontinuous Galerkin domain decomposition (DGDD) method couples subdomains of high-fidelity polynomial approximation to regions of low-dimensional resolution for the

The Multi-dimensional Optimal Order Detection (MOOD) method has been designed by authors in [5] and extended in [7] to reach Very-High-Order of accuracy for systems of Conservation

Abstract 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

An admissibility and asymptotic preserv- ing scheme for systems of conservation laws with source term on 2D unstructured meshes with high-order MOOD

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