Many tasks in economy and industry require an optimal solution with respect to certain performance criteria and constraints. The mathematical formulation of this kind of tasks leads to an optimization problem. In general it is distinguished between static optimization (“parameter optimization”) and dynamic optimization, where a dynamic process is involved and, e.g., an optimal control has to be determined. The goal of the lecture is to present the mathematical basics in the field of optimization and to give an introduction to numerical methods for solving static and dynamic optimization problems.
All information concerning the teaching mode (distance learning, exercises, etc.) is available on TISS 376.058.
The performance is evaluated in an oral exam, which can be taken in presence or online (currently optional).
Notes for the lectures and exercises will be continuously provided from the beginning of the course.