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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.

Home Page: http://casadi.org

License: GNU Lesser General Public License v3.0

CMake 1.41% C++ 39.20% C 20.99% Python 5.40% Makefile 0.06% Fortran 0.02% MATLAB 0.25% Shell 0.01% M 0.01% Objective-C 0.01% Raku 0.01% SWIG 32.66%

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