TOMLAB OPTIMIZATION LOGO TOMLAB OPTIMIZATION AREA top banner
  # LOGIN   # REGISTER (FREE TRIAL)
  # myTOMLAB  
Products
*TOMLAB Base Module
*TOMLAB /MINOS
*TOMLAB /NPSOL
*TOMLAB /SNOPT
*TOMLAB /SOL
 *Solvers
*TOMLAB /CGO
*TOMLAB /Xpress
*TOMLAB /CPLEX
*TOMLAB /GUROBI
*TOMLAB /MINLP
*TOMLAB /PENSDP
*TOMLAB /PENBMI
*TOMLAB /KNITRO
*TOMLAB /OQNLP
*TOMLAB /CONOPT
*TOMLAB /PROPT
*TOMLAB /NLPQL
*TOMLAB /LGO
*TOMLAB /GP
*TOMLAB /GENO
*TOMLAB /MAD
*TOMLAB /AMPL
*TOMLAB /MIPNLP
*TOMLAB /MISQP
*TOMLAB /MIDACO
*TOMLAB /LGO-MINLP
*Coming Products

TOMLAB /SOL

Download by creating a myTOMLAB account.

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 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.
     
  • NPSOL and SNOPT may estimate derivatives internally, faster than using one of the six TOMLAB methods.

    Tomlab Optimization © 1989-2016. All rights reserved.    Last updated: Oct 17, 2016. Site map.