Universität Wien

052312 VO Computational Optimisation (2021W)



Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").


Sprache: Englisch



Termine (iCal) - nächster Termin ist mit N markiert

The lecture will take place partially in presence and remote. Detailed information will be published in Moodle.

Montag 04.10. 18:30 - 20:45 Digital
Montag 11.10. 18:30 - 20:45 Digital
Montag 18.10. 18:30 - 20:45 Digital
Montag 25.10. 18:30 - 20:45 Digital
Montag 08.11. 18:30 - 20:45 Digital
Montag 15.11. 18:30 - 20:45 Digital
Montag 22.11. 18:30 - 20:45 Digital
Montag 29.11. 18:30 - 20:45 Digital
Montag 06.12. 18:30 - 20:45 Digital
Montag 13.12. 18:30 - 20:45 Digital
Montag 10.01. 18:30 - 20:45 Digital
Montag 17.01. 18:30 - 20:45 Digital
Montag 24.01. 18:30 - 20:45 Digital


Ziele, Inhalte und Methode der Lehrveranstaltung

This course gives an introduction to various topics of Computational Optimisation, with an emphasis on discrete ("combinatorial") problems.
Topics addressed include:
- Mathematical Programming
- Discussion of various classical discrete optimization problems (facility location, traveling salesperson, ...)
- Theory of NP-completeness
- Metaheuristics
- Problems on Graphs and Networks (Maximum Flow, Spanning/Steiner tree and variants)
- Nonlinear Optimization Methods (e.g., Frank-Wolfe Method)

This course is done as lecture; there is an accompanying exercise-part as an own course, students are encouraged to take both courses in the same semester.

Due to the current Covid-19 situation, parts of the course will presumably be given in digital form (online via MS Teams, at the times assigned to the course). Switches between physical and digital presentation will be announced to the participants in time.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Oral exam after the semester (presumably online). Four "Sammeltermine" will be announced, candidates should register to one of them.

Mindestanforderungen und Beurteilungsmaßstab

At least half of the questions at the exam must be correctly answered to pass the course.


For each of the two parts of the course (each given by one of the two lecturers), slides will be made available to the participants. The content of these slides defines the topics of the exam.


Any introductory textbook on integer programming/combinatorial optimization should cover most/all of the topics.

Zuordnung im Vorlesungsverzeichnis

Module: SWI STW CO

Letzte Änderung: Fr 12.05.2023 00:13