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CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
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A test repo for Wine Python as CI
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source for live-octave.casadi.org
Source for live.casadi.org
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A simple Python interface to casadi
A simple matlab interface to casadi
Because optimization is fun!
A collection of how-tos for the CasADi project
The missing package manager for OS X.
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