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.
A simple matlab interface to casadi
Scripts for the testbot
A test repo for Wine Python as CI
A simple Python interface to casadi
Build a Jekyll blog in minutes, without touching the command line.
Promotional material for casadi
Because optimization is fun!
A collection of how-tos for the CasADi project
The missing package manager for OS X.