Matching data example - calibrating a model
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While listening to a presentation on the ISDC2023 where they showed a sophisticated way of calibrating parameters of a model to real data I decided to offer a simple solution using the iMODELER's iM-Optimizer.
The idea is to minimize the deviation of the model results from the real data using a range() for all variable parameters. Simple as that though of course it also has some limitations.