| |
| Previous course: C0404 |
| Offered by:
Department of Mathematical Modelling
(IMM) |
| No credit points with: C0404 |
| Prerequisite: 04030/C0403.04041/C0401 |
| Recommended semester:
4th -7th semester |
| Scope and form: Lectures and excercises. |
| Examination:
Assessment of report and approval of exercises. Delivering report.
(13 point scale
) |
| Contact person: |
Victor Vidal, IMM, Building 321, Tel. +45 4525 3379 |
|
| Aim: To give - both in theory and in practice - a well-founded knowledge of static and dynamic optimization models. These models are used in connection with decision support systems where the students learn how to formulate problems and to select methods for problem solving within operations research and engineering. |
| Contents: Static optimization: Everett's Theory, Kuhn-Tucker Theory, Duality, Gradient Methods. Examples of applications: Production Planning, Process Control, Economic Models. Dynamic Optimization: Pontrijagin's Maximum Principle, Dynamic Programming, Bellmann's Optimality Principle. Examples of applications: Pipeline Problems, Production Planning, Economic models. Case Studies: Inventory Control, Stochastic Programming and Stochastic Control Theory. |
