S2MPJ and CUTEst optimization problems for Matlab, Python and Julia

  • Serge Gratton
  • Philippe L. Toint
    • Categories Nonlinear Optimization, Optimization Software Benchmark Tags , , , , , Short URL: https://optimization-online.org/?p=26965

    A new decoder for the SIF test problems of the \cutest\ collection is
    described, which produces problem files allowing the computation of
    values and derivatives of the objective function and constraints of
    most \cutest\ problems directly within ``native'' Matlab, Python or
    Julia, without any additional installation or interfacing with MEX
    files or Fortran programs. When used with Matlab, the new problem
    files optionally support reduced-precision computations.

    Article

    Download

    View S2MPJ and CUTEst optimization problems for Matlab, Python and Julia