The focus of this summer school is on the discontinuous Galerkin method. The DG method is one of the most famous numerical algorithms for the approximation of solutions to PDEs, as it has very favourable properties, such as data-locality, easy parallelizability, geometrical flexibility and many more. Furthermore, as it can for many equations be written in a variational form, it has a solid mathematical backup including error estimations. The method itself dates back to the early 70's, and has become popular since the mid-90's. While DG methods are very well understood for many problems, there is still a highly active research scene focussing around special aspects of the DG methods, in particular with respect to the extension to large-scale computations.
The goal of this summer school is to give the participants an introduction to the DG methods. The focus will be more on an introduction to the concepts, including their applications rather than a complete and rigorous discussion of the theory. The summer school will therefore be amenable to mathematicians, engineers and scientists and will be presented in a genuine interdisciplinary context. All sessions will be hands-on, meaning that sufficient time for exercises and their discussion is planned. For additional information, please contact email@example.com
Day 1 (Matteo Cicuttin):
Day 2 (Matteo Cicuttin):
Day 3 (Jennifer Ryan):
Day 4 (Alexandre Ern):
At the end of this summer school, participants will have an analytical and a practical understanding of the DG method.
An important part of preparing for any further professional step is becoming (more) aware of the competences you have developed and/or want to develop. In the current workshop, the following competences from the UHasselt competency overview are actively dealt with:
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