Digital Teaching
The event will be held in SoSe 2020 as a digital teaching. The Digital Teaching starts in week 15. The first date is therefore [b]Tuesday, 13 Apr. 2020 at 12:30 p.m[/b]. On this date a preliminary discussion will take place first. This meeting will be held via [b]ZOOM[/b], [b]further information will be released on Moodle[/b].
The following teaching materials or services are offered: Lecture Notes (English), lecture recording (English); Additional explanatory videos on selected topics (German) as well as online consultation hours by appointment.

Lehrinhalte
* Was are high accuracy/high order Methods?
   - Discontinuous Galerkin Methods: approximation with Polynomials
   - scalar conservation laws, weak formulation
   - numerical fluxes
   - temporal discretization 
* Systems of equations and higher derivatives
   - Poisson equation 
   - incompressible flows: Stokes and Navier-Stokes
   - compressible Euler equations
* Basics on numerical analysis
   - Consistency, Stability and Convergence
* Simulation of flows
* Exercices
   - elementary programming in C#
   - implementation of DG-Schemes using the BoSSS toolbox (see also https://github.com/FDYdarmstadt/BoSSS)

Literature
* J. S. Hesthaven, T. Warburton: Nodal Discontinuous Galerkin Methods: Algorithms, Analysis, and Applications; Springer, 2008.
* D. A. Di Pietro, A. Ern: Mathematical Aspects of Discontinuous Galerkin Methods, Springer, 2011.
* R. Hartmann: Numerical Analysis of Higher Order Discontinuous Galerkin Finite Element Methods; lecture notes, http://ganymed.iwr.uni-heidelberg.de/~hartmann/publications/2008/Har08b.pdf .
* R. Hartmann: Discontinuous Galerkin methods for compressible flows: higher order accuracy, error estimation and adaptivity; lecture notes http://ganymed.iwr.uni-heidelberg.de/~hartmann/publications/2005/Har05b.pdf .
* B. Cockburn, On Discontinuous Galerkin methods for convection-dominated problems; lecture notes, http://www.math.umn.edu/~bcockbur//LectureNotes.html.

Voraussetzungen
* Basic knowledge in parial differential equations and numerics.
* For Exercises: basic programming knowledge in some object-oriented language is helpful (e.g. C#, Java, Python, C )

Further Grading Information
* The date can still be changed in consultation with the students (will be fixed in the first lecture).
* Approx. 30% of the time is spent on practical exercises on the PC
* Exercise materials & script provided by Moodle
* Lecture and exercises held by Dr. Florian Kummer and Juan Gutierrez, MSc.

Semester: ST 2021