CasADi -- framework for algorithmic differentiation and numeric optimization
Project description
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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Algorithm | Hash digest | |
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SHA256 | c82d108f08a850535c77a59519f236c06d7627d91b3b25de1978405c87ba5ee3 |
|
MD5 | 89918ec07da0e84272eae6020eb758d5 |
|
BLAKE2b-256 | aa21bbedb7fdf95178f6285245d96c920ac4dc060dbe17e2b7db05171baa7ef2 |