Litcius/Paper detail

Machine learning based refinement strategies for polyhedral grids with applications to virtual element and polyhedral discontinuous Galerkin methods

Paola F. Antonietti, Franco Dassi, E. Manuzzi

2022Journal of Computational Physics21 citationsDOIOpen Access PDF

Topics & Concepts

PolyhedronComputer scienceGridVoronoi diagramCluster analysisFinite element methodPartition (number theory)Centroidal Voronoi tessellationAdaptive mesh refinementPartition of unityTessellation (computer graphics)AlgorithmDiscontinuous Galerkin methodRegular gridMathematical optimizationComputational scienceMathematicsArtificial intelligenceGeometryComputer graphics (images)ThermodynamicsPhysicsCombinatoricsAdvanced Numerical Methods in Computational MathematicsSeismic Imaging and Inversion TechniquesAdvanced Numerical Analysis Techniques