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.
casadi provides CMake targets:
find_package(casadi CONFIG REQUIRED)
target_link_libraries(main PRIVATE $<TARGET_NAME:casadi>)
v3.6.7#0
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LGPL-3.0-only
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