Universität Wien

052312 VO Computational Optimisation (2022W)

3.00 ECTS (3.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Moodle

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Details

Language: English

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 03.10. 18:30 - 20:45 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Monday 10.10. 18:30 - 20:45 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Monday 17.10. 18:30 - 20:45 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Monday 24.10. 18:30 - 20:45 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Monday 31.10. 18:30 - 20:45 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Monday 07.11. 18:30 - 20:45 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Monday 14.11. 18:30 - 20:45 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Monday 21.11. 18:30 - 20:45 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Monday 28.11. 18:30 - 20:45 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Monday 05.12. 18:30 - 20:45 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Monday 12.12. 18:30 - 20:45 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Monday 09.01. 18:30 - 20:45 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Monday 16.01. 18:30 - 20:45 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Monday 23.01. 18:30 - 20:45 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG

Information

Aims, contents and method of the course

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, 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.

Assessment and permitted materials

Exams after the semester. Four dates will be announced, candidates should register to one of them.

Minimum requirements and assessment criteria

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

Examination topics

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.

Reading list

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

Association in the course directory

Module: SWI STW CO

Last modified: Th 27.07.2023 06:47