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()

Project links

Key dates

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  • Released:
Latest release

1 maintainer

PyPI data
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Avatar for jmmauricio from gravatar.com jmmauricio

Credits

PyPI data
Data sourced directly from PyPI's database.

Author: Juan Manuel Mauricio

License

MIT License (MIT)

Requires

Python >=3.10

Provides Extra

api

Tags

DAE differential-algebraic engineering power-systems simulation

Classifiers

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