Universität Wien

040968 UK Graph Algorithms and Network Flows (2013S)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 30 participants
Language: English

Lecturers

Classes

Currently no class schedule is known.

Information

Aims, contents and method of the course

Networks are apparent in our daily lives. Typical examples of networks are:
electrical and power networks, telephone or Internet data networks, traffic net-
works (highways, rail networks, airline service networks), manufacturing and
distribution networks, or even social networks.
Graphs are used to model networks, and the underlying optimization problems are solved by means of graph algorithms.

The lecture covers several NP-hard optimization problems on graphs whose application are known in the design of service networks (e.g., telecommunication, gas, or water supply), in the transportation or logistics. Among others, problems like (delay- or diameter-constrained) Steiner trees, traveling salesman problem, vehicle routing (with diameter and precedence constraints) will be studied.

DI 05.03.2013 13.00-17.00 Ort: Hörsaal DAC Universitätsstraße 5 Hochparterre; DO 07.03.2013 09.00-13.00 Ort: Hörsaal DAC Universitätsstraße 5 Hochparterre; FR 08.03.2013 08.30-12.00 Ort: Hörsaal DAC Universitätsstraße 5 Hochparterre; DI 23.04.2013 12.00-14.00 Ort: Hörsaal DAC Universitätsstraße 5 Hochparterre; DI 23.04.2013 16.00-17.00 Ort: Hörsaal DAC Universitätsstraße 5 Hochparterre; MI 24.04.2013 09.00-12.30 Ort: Hörsaal DAC Universitätsstraße 5 Hochparterre; DO 25.04.2013 09.00-12.30 Ort: Hörsaal DAC Universitätsstraße 5 Hochparterre

Assessment and permitted materials

Minimum requirements and assessment criteria

This course should help graduate students to:
a) understand information about networks, and
b) develop mathematical models and algorithms to design networks.
In particular the main aims of the course are to:
- provide the knowledge of the fundamental concepts of networks
- provide the knowledge of the fundamental concepts of integer programming
- learn skills in mathematical modeling of optimization problems on networks
- learn skills in developing algorithmic techniques.

Examination topics

Reading list


Association in the course directory

Last modified: Mo 07.09.2020 15:29