Optimierung in den Anwendungen / Optimization and Applications

Registration is open for the winter semester 25/26

Lecture notes will be made available in English and German. By experience, participating in lectures and tutorials is absolutely required for a realistic chance to understand the material and to pass the exam.

Tutorials will be held in English and make us of JupyterLab interface with MATLAB kernel. To make these available, the registration is required. 

Further Reading: Book "Convex Optimization" by Stephen Boyd and Lieven Vandenberghe; Cambridge 2004, reprinted 2007

JupyterHub10 (currently unavailable for MATLAB kernel)

JupyterHub20

VPN for the JupyterHubs

VPN for JupyterHubs

Help with Jupyter Notebooks:

Introduction to Jupyter notebooks and Python

Jupyter Notebook for beginners: A Tutorial (by Benjamin Pryke)

Help with Matlab:

https://www.mathworks.com/matlabcentral/answers/

Get started with MATLAB

Get started with MATLAB (German) 

Numerical Computing with MATLAB  (by Cleve Moler, the inventor of Matlab)

Experiments with MATLAB (by Cleve Moler)

Optimization Toolbox User's Guide (correct link now, you need to login to your mathworks account to access this)

Optimization Toolbox User's Guide (different link to the same file as above)

https://www.tutorialspoint.com/matlab/index.htm

https://www.uni-muenster.de/AMM/num/Vorlesungen/MATLAB-Kurs_WS08/Script/matlab-einfuehrung.pdf (German, by Bahne Christiansen)

Simply learn to program with MATLAB (German, by Vita Rutka and Jürgen Liedtke, suitable for programming beginners)

Additional Literature on Linear Programming:

(in German) https://www.tu-chemnitz.de/mathematik/discrete/lehre/opt/w20/sopth_kapitel3.pdf

(in German) http://page.math.tu-berlin.de/~moehring/adm2/adm2-deutsch.pdf

(in English) http://page.math.tu-berlin.de/~moehring/adm2/adm2-english.pdf

(in English) https://pagesperso.g-scop.grenoble-inp.fr/~bousquen/OA/