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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, Matlab/Octave, Julia or Javascript

A library for enabling task-based multi-threading. It allows execution of task graphs with arbitrary dependencies.

  • cpp
  • multithreading
  • fibers
  • task-scheduler