| Abgesagt! Seminare.EIM: From linear to non-convex optimization (CSBS, DSBS, IIWBS, TMBS, CSMS, IIWMS) |
| Semester: |
| WiSe 23/24 |
| Veranstaltungstyp: |
| Seminar (Lehre) |
| DozentIn: |
| Dr. Anna Katharina Kirf, Prof. Dr. Martin Kliesch |
| Beschreibung: |
| Optimization problems are ubiquitous in most scientific fields and engineering. The easiest such problems are linear and already have numerous applications. They are special cases of convex optimization problems, which are often efficiently solvable with many software implementations available. Many optimization problems are non-convex and are often hard to solve.
This seminar aims to provide a basic understanding of general principles of `easy' optimization problems (convex optimization). We will see selected examples for the theoretical analysis of standard algorithms for these problems. Then, we will also see example classes of non-convex optimization problems and heuristic ways to solve them. Throughout, there are opportunities to do numerical experiments with standard optimization packages as well as to look into examples for important applications. |
| Bereichseinordnung: |
| Studiendekanat Elektrotechnik, Informatik und Mathematik |
| Weitere Informationen aus Stud.IP zu dieser Veranstaltung |
Heimatinstitut: Studiendekanat Elektrotechnik, Informatik und Mathematik (E)
In Stud.IP angemeldete Teilnehmer: 4
Anzahl der Dokumente im Stud.IP-Downloadbereich: 1
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