Titel auf Englisch: Mathematical Optimization Techniques and Applications
Upon successful completion of the module, students will have acquired an understanding of core mathematical tools used in modern optimization. They will be able to identify optimization structures in real-world problems, formalize these problems in mathematical terms, and apply suitable algorithms to obtain and interpret solutions.
Foundations of optimization theory, global vs. local optimality, geometry of optimization, optimization for graph problems, fundamentals of linear programming, duality principles, advanced simplex methods, discrete optimization, interior point and ellipsoid methods, nonlinear optimization, applied modeling. Emphasis is placed both on theoretical insights and algorithmic implementation.
No successful participation in module 13862 Optimierung und Operations Research.
4 intermediate tests of 30 minutes each, written during the lecture period.
Ausfälle und Änderungen
Wahlpflichtkomplex: Optimierung
Wahlpflichtkomplex: Advanced Methods
Wahlpflichtkomplex: Software-basierte Systeme
| Studiengang | Abschluss | Wahlpflichtkomplex |
|---|---|---|
| Angewandte Mathematik | M.Sc. | Optimierung |
| Artificial Intelligence Science | M.Sc. | Advanced Methods |
| Künstliche Intelligenz Technologie | M.Sc. | Software-basierte Systeme |
Was Studierende über dieses Modul sagen. Die BTU hat damit nichts zu tun — hier schreiben nur Studierende, und jede Bewertung ist die Meinung einer einzelnen Person.
