pydae
Core engine for solving and analyzing Differential-Algebraic Equation (DAE) systems.
pydae uses SymPy to symbolically derive Jacobians, translates them to C, and compiles them into shared libraries for fast numerical simulation via Newton-Raphson.
See the main repository for full documentation.
Installation
pip install pydae
Quick start
from pydae.core import Builder, Model
builder = Builder(sys_dict, target='ctypes')
builder.build()
model = Model('my_system')
model.ini(params, xy_0=initial_guess)
model.run(t_end, inputs)
model.post()
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