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Operations Research I
Operations Research: lineare und nicht-lineare Programmierung
Last Updated: 2026-02-05 15:05:31
Abstract
Introduction in to the methods of Operations Research to solve conceptual tasks by means of mathematical models
Objective
Gives an introduction in to the methods of Operations Research (OR) aiming to solve conceptual tasks by means of mathematical models. Description of various model types on the basis of case studies and correspondent solving procedures with standard software.
Content
As a basic course for Operations Research the most important models and algorithms of OR will be worked out. Starting from linear optimization models the theory of duality will be presented. The Kuhn-Tucker conditions for the (convex) quadratic optimization together with the emerging algorithms will complete the introduction in to the continuous optimization. The topic of economical equilibrium models will be introduced by game theoretic models. Algorithmic concepts for 2-person-zero-sum-game and general two-matrix-games will be addressed. In the third part of the course the optimization in graphs will have our attention. Methods of the shortest path flows, frameworks and tours in networks will be discussed algorithmically.
Resources
Lecture Notes
Handed out during lecture
Literature
In the lecture one indicates
General Information
- Language
- German
- Levels
- BSC
- Frequency
- Yearly recurring
Examination
- Type
- end-of-semester examination
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Operations Research: lineare und nicht-lineare Programmierung |
|
3 h weekly |