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teaching:ss19:lab-kesselheim [2018/12/17 12:21]
kesselheim created
teaching:ss19:lab-kesselheim [2019/04/01 16:17] (current)
kesselheim
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 In this lab, we will be implement algorithms for optimization under uncertainty and evaluate their performance. In particular, the question is to what extent the derived theoretical guarantees are tight and if algorithms that perform better in theory also do so in experiments. In this lab, we will be implement algorithms for optimization under uncertainty and evaluate their performance. In particular, the question is to what extent the derived theoretical guarantees are tight and if algorithms that perform better in theory also do so in experiments.
  
-If you are interested in the lab, please contact [[staff:​thomaskesselheim|Thomas Kesselheim]].+If you are interested in the lab, please contact [[staff:​thomaskesselheim|Thomas Kesselheim]] ​**by April 7**.
  
-Currently, the plan is to offer this seminar under module number //MA-INF 1309//. If you have already taken such a module but are still interested in this lab, please let us know and we might establish a new module. ​It is also possible (but not necessary) to combine this lab with the [[teaching:​ss19:​seminar-kesselheim|seminar]].+It is also possible (but not necessary) to combine this lab with the [[teaching:​ss19:​seminar-kesselheim|seminar]].

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