Fakultät für Physik
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Nonlinear Dynamics – Exercises


Exercise sheets

Exercise classes

  • Wed, 14:00 - 16:00, A348
  • Thu, 12:00 - 14:00, A348
  • Thu, 16:00 - 18:00, A249
  • Fri, 14:00 - 16:00, A450

 

Remark regarding the exercise sheets: Everybody should hand in his / her own solution. If you solve the exercise sheets together with another person, you may hand in one solution, but you should indicate on the sheet which exercise is done by whom.

Python

The exercises will partially rely on numerics. We have decided to use Python for that purpose in this lecture. Python together with the relevant packages for the lecture (numpy, scipy and matplotlib) can be downloaded easily (Python, Numpy/Scipy and Matplotlib). Please be sure you download the version Python 2.7.x. Newer versions of Mac come with Python 2.7 and all relevant packages pre-installed by Apple (you can check if you already have python installed by simply typing 'python‘ in your terminal and hitting enter). As text editor we recommend to download Sumblime 2; it is free and recognizes many programming languages including Python.

In the first week of exercises (April 20-24) there will be a crash course in Python in the CIP Pool at Schellingstr. 4. at the usual hours of the tutorials.

Comsol

To study more complex partial differential equations we will use COMSOL Multiphysics. COMSOL Multiphysics is a solver for (partial) differential equations based on a finite element method and provides a very comprehensible interface. For some exercises we will provide so-called comsol applications which you can use to study the solution of partial differential equations. To use these application please go to http://z-sv-comapp.ad.physik.uni-muenchen.de:2036/ and log in with your physics account username and password (if you cannot log in, please tell us). You can then easily launch the applications we have uploaded for you and follow the instructions in the respective exercise.

Mathematica

In some exercises we will use Wolfram Mathematica for plotting and data evaluation. The university provides homeuse licenses for all students. Information about how to obtain a license and the program (Win, Mac, or Linux) can be found here.