| 392217 | Wittler | Winter 2014 | Tuesday 14-16 in U10-146 | ekvv |
In this seminar, research of the DiDy Group is presented, and other research related topics are discussed. This semester, the faculty will introduce themselves / their research.
| Date | Who/What |
| 7.10. | Administratives, Update on our research |
| 14.10. | Roland: How I became a Scientific Coordinator and some science that is left behind. Journal screening? Blogs? |
| 21.10. | Wiki hands-on (update research page) |
| 28.10. | Alexander Sczyrba |
| 4.11. | Barbara Hammer |
| 11.11. | Benedikt B., Georges, Yoga, Dany, Nina, Benedikt L., … Who are you again? I don't care about your science! |
| 18.11. | Markus, Liren, Lu, Tina, Nicole, Linda, … |
| 25.11. | Ellen Baake |
| 2.12. | Stefan Albaum |
| 9.12. | Guest: Michael Barton, JGI |
| 16.12. | Xmas market |
| 6.1. | — |
| 13.1. | — |
| 20.1. | |
| 27.1. | Robert Giegerich: “Mind over matter, matter over mind? Encouraging news about Pareto optimization in dynamic programming” (Abstract below) |
| 3.2. | Update on our research |
| ?? | Tim Nattkemper |
Combinatorial optimization minimizes a “cost” function. When true costs are involved – in terms of money, energy, computation time – it is not a problem to optimize under multiple objectives. True costs simply add up. But what if our objectives are incommensurable:
Should we choose love over gold, gold over love, or what else?
Pareto optimization avoids the artificial combination of diverse objectives. It gives the best of two worlds in a mathematically strict sense, is safe to use, and has efficient implementations.