The TOMLAB /SOL toolbox efficiently integrates all 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,
   
• The dense general constrained nonlinear solver DNOPT,
   
• The dense general constrained nonlinear solver NPSOL,
   
• The dense constrained linear least squares and convex quadratic program solver LSSOL and
   
• The dense constrained nonlinear least squares solver NLSSOL, based on NPSOL.
   
• Read more about the above mentioned SOL solvers, as well as the TOMLAB /MINOS solvers MINOS, QPOPT and LPOPT in the TOMLAB /SOL User's Guide.
• TOMLAB /SOL 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.
   
• NPSOL has been used intensively in control applications because of its speed and robustness.
   
• All SOL solvers may be used as sub problem solvers for other TOMLAB solvers.
   
• DNOPT, NPSOL and SNOPT may estimate derivatives internally, faster than using one of the six TOMLAB methods.