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Optimization of Agricultural Production Systems
Optimierung landwirtschaftlicher Produktionssysteme
Last Updated: 2026-06-03 00:07:19
Abstract
Introduction in to optimization of agricultural production systems with linear and non-linear programming models.
Objective
Students will be able to a) solve linear and non-linear optimization problems in the context of agricultural production; b) properly interpret the results; and c) critically discuss the economic implications.
Content
The course is an application of Operations Research (OR). First, the theory and application of linear programming (LP) is presented. Students will learn the underlying principles (Optimization, Duality, Simplex) and solve exercises in the context of agricultural production. In the second part of the course, the foundation of non-linear programming (NLP) is introduced (Lagrange, Kuhn-Tucker) and illustrated with various examples.
Resources
Lecture Notes
Handed out during lecture
Literature
Kaiser, H. M., and K. D. Messer. Mathematical programming for agricultural, environmental and resource economics. John Wiley and Sons, Inc, 2011.
General Information
- Language
- German
- Levels
- BSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Optimierung landwirtschaftlicher Produktionssysteme | No time listed | 2 h weekly |
Offered In
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Wahlfächer (Die aufgeführten Wahlfächer werden empfohlen. Den Studierenden steht zusätzlich das gesamte Lehrangebot der ETH Zürich und der Universität Zürich zur Auswahl offen.)
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