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dae's Introduction

DAEpy

DAEpy is a solver for differential algebraic equations written in Python 3. The DAE system is setup as a optimal control problem with gradient flow embedding. The resulting boundary value problem is then solved using collocation.

Installation

Simply run python setup.py install

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dae's Issues

Fix references to optimal control weightings

References have be made to weightings in the optimal control formulation. Firstly, the final-time penalty has yet to be correctly implemented and secondly the weightings have actually been included. Weightings either need to be fully included or fully removed.

Fix singular Jacobian error

Both the index-3 example and distillation model result in a singular collocation matrix. As far as I am aware both models have been correctly implemented, but this hasn't been independently verified. It could be be a feature of the collocation itself, although this is also yet to be theoretically justified.

Update dependencies in sckit branch

The scikit branch uses the scikit.bvplg1 python wrapper for colnew rather than ScipPy's bvp solver, so the installing script needs to reflect this dependency.

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