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.
C++ C Python CMake Fortran Matlab Other
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Joris Gillis
Latest commit 2ce89d7 Aug 8, 2018

README.md