TOMLAB
| Developer(s) | Tomlab Optimization Inc. |
|---|---|
| Stable release | 8.7
/ 17 September 2020 |
| Written in | Technical computing |
| License | Proprietary |
| Website | TOMLAB product page |
The TOMLAB[1][2][3] Optimization Environment is a modeling platform for solving applied optimization problems in MATLAB.
Description
TOMLAB is a general purpose development and modeling environment[4] 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 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[5]
- Nonlinear complementarity problems
Additional features
- TOMLAB supports more areas than general optimization, for example:
- Optimal control with PROPT using Gauss and Chebyshev collocation.[6]
- Automatic differentiation with MAD[7]
- Interface to AMPL
Further details
TOMLAB supports solvers like
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
Microsoft .NET
.
Modeling is mainly facilitated by the TomSym class.
References
- ISSN 1389-4420.
- ISBN 1-4020-7547-2.
- ^ Holmström, Kenneth; Edvall, Marcus M.; Göran Anders O. (21 October 2003). "TOMLAB - for Large-Scale Robust Optimization" (PDF). Nordic MATLAB Conference 2003.
{{cite journal}}: Cite journal requires|journal=(help) - ^ "TOMLAB OPTIMIZATION", TOMOPT Home Page Juli, 2014.
- ISSN 0925-5001.
- ^ "PROPT - Matlab Optimal Control Software (DAE, ODE)", PROPT Home Page April, 2009.
- ^ "Matlab Automatic Differentiation (MAD) - matlabAD", MAD Home Page June, 2008.
External links
- TOMLAB
- MAD (MATLAB Automatic Differentiation)
- PROPT - MATLAB Optimal Control Software