{"ref":"issue_1476","ref_type":"branch","master_branch":"master","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++ or Python","pusher_type":"user"}