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casadi
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.
2,200 stars440 forks777 issuesLGPL-3.0更新于 2026/4/28
academic-projectalgorithmic-differentationc-plus-pluscode-generationderivativeslibrarymathematicsmatlabmodularnonlinearnonlinear-programmingnumerical-calculationsoctaveoptimal-controloptimizationparameter-estimationpythonscientific-computingsymbolic-manipulation
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