Optimization Lab for Communication and Signal Processing Using MATLAB (OptiLab)
This Lab is about learning how to recognize, model and solve optimization problems. Covered topics include but are not limited to:- Linear Programming
- Quadratic Programming and Least-Squares Problems
- Regularized Approximation and Estimation
- Second-order Cone Programming
- Semidefinite Programming
Reading assignments
In each session, you will receive a reading assignment (from 5 to 20 pages) for the subsequent session. At the beginning of each session, there will be a multiple choice test to check if you read and understood the material covered in the reading assignment.Dates
Contact
Dipl.-Ing. Andreas Bollig upon agreement
M.Sc. Omid Taghizadeh upon agreement
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Maintained by:
Detlef Maus,
Ansgar Johannes Pflipsen
Design by: Peter Schwabe
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