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.
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.