casadi


Namecasadi JSON
Version 3.7.1 PyPI version JSON
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home_pagehttp://casadi.org
SummaryCasADi -- framework for algorithmic differentiation and numeric optimization
upload_time2025-07-23 19:37:50
maintainerNone
docs_urlNone
authorJoel Andersson, Joris Gillis, Greg Horn
requires_pythonNone
licenseGNU Lesser General Public License v3 or later (LGPLv3+)
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI
coveralls test coverage No coveralls.
            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.

Example pack can be downloaded from http://install.casadi.org


            

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