Thursday, 13:15 - 13:40 h, Room: H 1058


Ronald Hochreiter
Optimization modeling using R


Simplifying the task of modeling optimization problems is an important task. Many commercial products have been created to support the modeling process, but none of these products has been adopted by a significantly large number of users. As soon as real-world decision problems under uncertainty have to be modeled, flexible and quick changes to the underlying model are necessary. Simplifications are crucial to implement such optimization models into some business process successfully. Furthermore, the learning overhead for users should be minimized. In this talk, we outline an approach on how to simplify optimization modeling using R and external optimization modeling languages as well as by building model generators for specific application problems. Examples from the areas of Finance and Energy will substantiate the applicability of the chosen approach.


Talk 1 of the invited session Thu.2.H 1058
"Modeling languages and software II" [...]
Cluster 10
"Implementations & software" [...]


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