CasADi 2.1.1
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++ or Python.
| Tags | python c++ automatic-differentation numpy |
|---|---|
| License | BSDL |
| State | stable |
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