On Feb 20, 4:16 pm, Stef Mientki <[EMAIL PROTECTED]> wrote: > Sounds GREAT ! > thank you ! > I just took a quick look, > the comparison to SimuLink looks good, > now if someone could make a comparison with Modelica;-) > > cheers, > Stef Mientki
As far as I can tell, PyDSTool provides some basic symbolic math capabilities sufficient to formulate systems of equations that can then be simulated. The symbolic capability seems to be mainly to allow for analytical Jacobian calculation (presumably for backward differentiation algorithms, etc). Someone feel free to correct me if I'm wrong. This is all quite useful and it is implicitly included in Modelica but may important aspects of Modelica are missing. For example, Modelica includes inheritance (to facilitate reuse), polymorphism (to substitute one implementation of a component for another), a strong types system (to ensure safety and robustness), a meta-data infrastructure including standardized metadata for documentation and graphical representation, connectors to define interactions between components, an expansive standard library and support for numerous modeling formalisms both continuous, discrete and mixed systems of DAEs (e.g. block diagrams, acausal modeling, state charts, petri nets, ...). My sense is that perhaps PyDSTool is attempting to leverage some of these aspects directly from Python (e.g. inheritance). I am a fan of both Python and Modelica but when it comes to the kind of modeling work I do I prefer the more "static" approach to type checking that Modelica uses (of course that is just a personal preference). -- Mike -- http://mail.python.org/mailman/listinfo/python-list
