|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.
|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)|
|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, …|
|9.12.||Guest: Michael Barton, JGI|
|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|
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.