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Instructors: Prof. Dr. rer. nat. Stefan Ulbrich; Prof. Dr. rer.nat. Winnifried Wollner
Event type:
Seminar
Org-unit: Dept. 04 - Mathematics
Displayed in timetable as:
04-00-0208-se
Subject:
Crediting for:
Hours per week:
2
Language of instruction:
German and English
Min. | Max. participants:
- | -
Course Contents:
The seminar will cover selected works on theory, algorithms, numeric and applications in
- Nonlinear Optimization
- Optimization for Data Analytics/Machine Learning
- Mixed Interger-Nonlinear Programming
- Optimization under Uncertainty
- Realtime Optimization
- Optimization with Differential Equations
The topics can be seen online after the kick-off meeting.
Literature:
Will be provided after the kick-off meeting.
The materials will be provided online for the topic selection.
Preconditions:
Einführung in die Optimierung
Recommended:
Nichtlineare Optimierung and/or Diskrete Optimierung
Expected Number of Participants:
max 20
Further Grading Information:
Dates of the Kick-off meeting:
The kick-off meeting will be held during the second or third week of the term.
The precise date will be announced via Moodle.
Dates of the presentations:
The talks will be held at the end of the winter term 2021/22.
Online Offerings:
moodle
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