CasADi - A software framework for nonlinear optimization and optimal control

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Authors: Joel A E Andersson, Joris Gillis, Greg Horn, James B. Rawlings, Moritz Diehl
Cited by: 0

Abstract

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.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 January 2026