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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 considers selected topics on theory, methods, numerics and
applications in the areas
- Nonlinear Optimization
- Optimization for Data Analysis/Machine Learning
- Mixed-integer Nonlinear Optimization
- Optimization under Uncertainty
- Real-time Optimization
- Optimization with Differential Equations
- Optimization Problems in Economics and Engineering
- Game Theory
The topics can be explored and selected online after the first meeting.
Literature:
Will be provided in the first meeting.
The material for the seminar topics will be available online after the first meeting to select an appropriate topic.
Preconditions:
Introduction to Optimization
Recommended:
Nonlinear Optimization and/or Discrete Optimization
Expected Number of Participants:
max. 20
Further Grading Information:
Schedule of Talks:
The seminar talks will be scheduled at the end of winter semester 2019/20.
Additional Information:
The date of the first meeting will be announced via TUCaN.
Online Offerings:
The material for the seminar topics will be available online after the first meeting to select an appropriate topic.
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