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CasADi -- framework for algorithmic differentiation and numeric optimization

Project description

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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casadi-3.2.2-cp36-none-win_amd64.whl (40.0 MB view hashes)

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casadi-3.2.2-cp35-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (25.9 MB view hashes)

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casadi-3.2.2-cp34-none-win_amd64.whl (40.0 MB view hashes)

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casadi-3.2.2-cp34-none-manylinux1_x86_64.whl (27.8 MB view hashes)

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casadi-3.2.2-cp27-none-win_amd64.whl (39.9 MB view hashes)

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casadi-3.2.2-cp27-none-manylinux1_x86_64.whl (27.7 MB view hashes)

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casadi-3.2.2-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (25.9 MB view hashes)

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