(no title)
hazrmard | 1 year ago
Modelica is acausal. You define the variables and how they are related (equations). The compiler handles variable dependencies and resolution internally.
There are pros & cons of each. Both are used for simulating cyber-physical systems.
zelphirkalt|1 year ago
So what is really the meaning of "acausal" in this context?
adgjlsfhk1|1 year ago
This makes modeling much easier because causality doesn't compose. Adding a new component to a model can totally change what the optimal causalization is, so using an acausal framework the compiler will figure that out, but in a causal framework the user has to re-derive the causality of their model.
michaeltiller|1 year ago
adastra22|1 year ago