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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Updated
Nov 11, 2020 - C++


TSP claims to be type agnostic.
There should be tests for this.
In particular
Float32andComplexnumbers will be of Interest.Want to back this issue? **[Post a bounty on it!](https://www.bountysource.com/issues/64400386-add-tests-for-different-number-types-float32-complex?utm_campaign=plugin&utm_content=tracker%2F89129719&utm_medium=issues&utm_source=githu