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CasADi is a symbolic framework for numeric optimization

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.

Version: 3.7.2 License: LGPL-3 GitHub
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38 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
13 97420 2025-10-27 5:34:10 0:02:01 36746 build successful
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