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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.

  • Updated May 22, 2024
  • C++

Este repositorio debe ser el punto de partida y encuentro para cualquier investigador o estudiante que quiera comenzar a trabajar con/en la UIBCDF. Si has caído aquí por otro motivo y este material te es útil, eres más que bienvenido a usarlo e interaccionar con nosotros.

  • Updated Feb 8, 2022
  • Jupyter Notebook

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