Rahul Sharma (Editor)

TOMLAB

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Stable release
  
7.9 / 23 August 2012

Written in
  
MATLAB, C, Fortran

Type
  
Technical computing

License
  
Proprietary

Development status
  
Active

Size
  
89 MB (Windows 32-bit)

Developer(s)
  
Tomlab Optimization Inc

TOMLAB tomoptcomdocstomlabpngstomlab003png

Operating system
  
Windows 32/64-bit, Linux 32/64-bit and Mac OS X (Intel)

Tomlab


The TOMLAB Optimization Environment is a modeling platform for solving applied optimization problems in MATLAB.

Contents

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Description

TOMLAB is a general purpose development and modeling environment in MATLAB for research, teaching and practical solution of optimization problems. It enables a wider range of problems to be solved in MATLAB and provides many additional solvers.

Optimization problems supported

  • TOMLAB handles a wide range of problem types, among them:
  • Linear programming
  • Quadratic programming
  • Nonlinear programming
  • Mixed-integer programming
  • Mixed-integer quadratic programming with or without convex quadratic constraints
  • Mixed-integer nonlinear programming
  • Linear and nonlinear least squares with L1, L2 and infinity norm
  • Exponential data fitting
  • Global optimization
  • Semi-definite programming problem with bilinear matrix inequalities
  • Constrained goal attainment
  • Geometric programming
  • Genetic programming
  • Costly or expensive black-box global optimization
  • Nonlinear complementarity problems

    • Additional features

  • TOMLAB supports more areas than general optimization, for example:
  • Optimal control with PROPT using Gauss and Chebyshev collocation.
  • Automatic differentiation with MAD
  • Interface to AMPL

    • Further details

    TOMLAB supports solvers like Gurobi, CPLEX, SNOPT, KNITRO and MIDACO. Each such solver can be called to solve one single model formulation. The supported solvers are appropriate for many problems, including linear programming, integer programming, and global optimization.

    An interface to AMPL makes it possible to formulate the problem in an algebraic format. The MATLAB Compiler enables the user to build stand-alone solutions. Sister products are available for LabVIEW and Microsoft .NET.

    Modeling is mainly facilitated by the TomSym class.

    References

    TOMLAB Wikipedia
    (Text) CC BY-SA


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