Application of Machine Learning to the Computation of Parameters in the SUPG Method for Unstructured and Anisotropic Meshes

Solution of convection-dominated problems using stabilized methods often requires to specify stabilization parameters whose optimal choice is not known but which considerably influence the quality of the approximate solution. In a recent work of the authors, an approach for computing these parameter