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.