CasADi 1.3.1 Beta

CasADi is designed as a minimalistic computer algebra system that is able to implement an automatic differentiation in forward and adjoint modes. It does thtat by means of a hybrid symbolic / numeric approach.

It is developed to be a low-level tool for quick, yet highly efficient implementation of algorithms for numerical optimization. Of particular interest is dynamic optimization, using either a collocation approach, or a shooting-based approach using embedded ODE/DAE-integrators.

In either case, CasADi relieves the user from the work of efficiently calculating the relevant derivative or ODE/DAE sensitivity information to an arbitrary degree, as needed by the NLP solver.

This together with full-featured Python and Octave front ends, as well as back ends to state-of-the-art codes such as Sundials (CVODES, IDAS and KINSOL), IPOPT and KNITRO, drastically reduces the effort of implementing the methods compared to a pure C/C++/Fortran approach.

Requirements:	No special requirements
Release Date:	August 17, 2012
Platforms:	Windows All
Keyword:	Algebra,  Algebra System,  Casadi,  Computer Algebra,  Differentiation,  Differentiation Implementation,  Implementation
Users rating:	0/10