Lehrinhalte
The seminar will cover selected works on theory, algorithms, numeric and applications in
- convex optimization
- optimization for data analysis and machine learning
- optimization under uncertainty
- optimization problems in finance and engineering
A Bachelorthesis can be written after the seminar.
Literature
Will be provided after the kick-off meeting.
The materials will be provided online for the topic selection.
Voraussetzungen
Einführung in die Optimierung
Erwartete Teilnehmerzahl
max 20
Further Grading Information
The date of the kick-off meeting in the second or third week of the term will be announced via Moodle.
Zusätzliche Informationen
The talks will be held at the end of the summer term 2021.
Online-Angebote
moodle
The seminar will cover selected works on theory, algorithms, numeric and applications in
- convex optimization
- optimization for data analysis and machine learning
- optimization under uncertainty
- optimization problems in finance and engineering
A Bachelorthesis can be written after the seminar.
Literature
Will be provided after the kick-off meeting.
The materials will be provided online for the topic selection.
Voraussetzungen
Einführung in die Optimierung
Erwartete Teilnehmerzahl
max 20
Further Grading Information
The date of the kick-off meeting in the second or third week of the term will be announced via Moodle.
Zusätzliche Informationen
The talks will be held at the end of the summer term 2021.
Online-Angebote
moodle
- Lehrende: Stefan Ulbrich
- Lehrende: Winnifried Wollner
Semester: ST 2021