CasADi - A software framework for nonlinear optimization and optimal control

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

Read full text
Authors: Joel A E Andersson, Joris Gillis, Greg Horn, James B Rawlings, Moritz Diehl
DOI: 10.5281/zenodo.18207041
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.

Fields of Study & Subjects

Advanced Optimization Algorithms Research Advanced Control Systems Optimization Modeling and Simulation Systems

Publication details

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