Datenpaket: Numerical experiments to "Error analysis of second-order local time integration methods for discontinuous Galerkin discretizations of linear wave equations"

This code was used for the numerical experiments in the CRC 1173 Preprint 2023/2 (URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2023-2.pdf) by C. Carle and M. Hochbruck.

The scripts are intended to reproduce the figures from the preprint "Error analysis of second-order local time integration methods for discontinuous Galerkin discretizations of linear wave equations" by Constantin Carle and Marlis Hochbruck ################################################################################

Requirements

The codes are tested with Ubuntu 20.04.2 LTS and Python 3.8.10 and the following version of its modules: numpy - 1.17.4 scipy dolfin (fenics) - 2019.2.0.dev0 (including mshr) matplotlib - 3.1.2 tikzplotlib - 0.9.6 pandas - 0.25.3 ################################################################################

Generation of figures

For the generation of Figure Y, Y=1,2,3, either execute the Python script 'script_figY.py' in a suitable integrated development environment or run the command python3 script_figY.py in a terminal session. For the generation of Figure 4 first execute the Python script 'script_fig4_data.py' (via a suitable integrated development environment or in a terminal session) which generates and saves the data for the figure. To obtain the figure execute the script 'script_fig4_plot.py' (the script 'script_fig4_plot_single.py' generates a different view of the data).
Additionally to the plots you can get the tikz-files which were used for generating the figures in the preprint by setting the Boolean variable 'write_tikz' from 'False' to 'True' at the beginning of the scripts. The scripts for Figure 1, 2, 4 run in parallel on all available processors. The number of used processors can be specified with the variable 'num_processors_max' (integer). - 1.3.3