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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:
Seminar (opt) Master
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:
The talks will be held at the end of the winter term 2020/21.
Additional Information:
The date of the kick-off meeting will be announced via TUCaN.
Online Offerings:
Materials will be provided in TUCaN after the kick-off meeting.
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