Pages that link to "Item:Q2902097"
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The following pages link to Multi-dimensional Optimal Order Detection (MOOD) — a Very High-Order Finite Volume Scheme for Conservation Laws on Unstructured Meshes (Q2902097):
Displaying 11 items.
- Direct arbitrary-Lagrangian-Eulerian ADER-MOOD finite volume schemes for multidimensional hyperbolic conservation laws (Q349860) (← links)
- A high-order finite volume method for systems of conservation laws-multi-dimensional optimal order detection (MOOD) (Q544581) (← links)
- A sixth-order finite volume method for the 1D biharmonic operator: application to intramedullary nail simulation (Q747529) (← links)
- \textit{A posteriori} stabilized sixth-order finite volume scheme for one-dimensional steady-state hyperbolic equations (Q1639322) (← links)
- A relaxed \textit{a posteriori} MOOD algorithm for multicomponent compressible flows using high-order finite-volume methods on unstructured meshes (Q2096285) (← links)
- WENO schemes on unstructured meshes using a relaxed \textit{a posteriori} MOOD limiting approach (Q2309399) (← links)
- Improved detection criteria for the multi-dimensional optimal order detection (MOOD) on unstructured meshes with very high-order polynomials (Q2361873) (← links)
- A very high-order finite volume method for the time-dependent convection-diffusion problem with Butcher tableau extension (Q2363835) (← links)
- Efficient methods with higher order interpolation and MOOD strategy for compressible turbulence simulations (Q2425285) (← links)
- A MOOD-like compact high order finite volume scheme with adaptive mesh refinement (Q2700432) (← links)
- Neural network-based limiter with transfer learning (Q6098315) (← links)