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doi: 10.5281/zenodo.6321311 , 10.5281/zenodo.4015997 , 10.5281/zenodo.1341589 , 10.5281/zenodo.3497526 , 10.5281/zenodo.11408029 , 10.5281/zenodo.3973667 , 10.5281/zenodo.4998498 , 10.5281/zenodo.5017003 , 10.5281/zenodo.4013503 , 10.5281/zenodo.3951118 , 10.5281/zenodo.6313653 , 10.5281/zenodo.2613996
doi: 10.5281/zenodo.6321311 , 10.5281/zenodo.4015997 , 10.5281/zenodo.1341589 , 10.5281/zenodo.3497526 , 10.5281/zenodo.11408029 , 10.5281/zenodo.3973667 , 10.5281/zenodo.4998498 , 10.5281/zenodo.5017003 , 10.5281/zenodo.4013503 , 10.5281/zenodo.3951118 , 10.5281/zenodo.6313653 , 10.5281/zenodo.2613996
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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