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TOMLAB /SNOPT

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The TOMLAB /SNOPT toolbox efficiently integrates well-known solvers developed by the Stanford Systems Optimization Laboratory (SOL) with Matlab and Tomlab.

The toolbox includes:

  • The sparse general nonlinear solver SNOPT,
     
  • The sparse positive convex quadratic solver SQOPT,
     
  • Read more about the above mentioned SOL solvers, as well as the TOMLAB /MINOS solvers MINOS, QPOPT and LPOPT in the TOMLAB /SNOPT User's Guide.
  • TOMLAB /SNOPT includes all Matlab code and solvers that are part of TOMLAB /MINOS,
    see the description of TOMLAB /MINOS.
     
  • For a general description of the TOMLAB features, see the TOMLAB FEATURES.
     

  Main features

  • The codes are implemented to efficiently handle Matlab sparse arrays.
     
  • It is easy to use warm starts for the SOL solvers, and further speed up sequences of optimization problems.
     
  • SNOPT has shown to be very fast and robust, e.g. in industrial plant optimization and financial planning.
     
  • SNOPT and SQOPT may be used as sub problem solvers for other TOMLAB solvers.
     
  • SNOPT is also suitable to use for both dense and sparse nonlinear systems of equations and nonlinear least squares.
     
  • SNOPT may estimate derivatives internally, faster than using one of the six TOMLAB methods.

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