Like anything technical, there’s plenty of jargon surrounding Dymola and its functionality. While much of it is relatively self-explanatory, some may not be clear at first glance. In this blog post I will try to shed some light on basic Dymola terminology, and provide a few details on their...
The Dymola solver implements events that may be in a model to allow it to solve in an accurate way. This post has a closer look at how this is implemented. What is an event? When discrete behaviour occurs in a model an event is generated, or to say...
Integrators can sometimes appear to ignore the input value, acting as if it did not change. Here, a model is investigated for the purpose of understanding how the solver works and to know how to modify the model or settings so that the model solves accurately. A simple model...
The solver tolerance determines the accuracy that the states in the model are solved within. This post has a closer look at what tolerance is, how the tolerance used in Dymola effects the accuracy of the results and how you can effect the tolerance of a given signal. For...
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