CasADi -- framework for algorithmic differentiation and numeric optimization

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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.

Example pack can be downloaded from http://install.casadi.org

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3.6.7

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