TOMLAB
{{Short description|Mathematical optimization software}}
{{Use dmy dates|date=December 2019}}
{{Infobox software
| name = TOMLAB
| programming_language = MATLAB, C, Fortran
| developer = Tomlab Optimization Inc.
| latest_release_version = 8.7
| latest_release_date = 17 September 2020
| size = 89 MB (Windows 32-bit)
| operating_system = Windows 32/64-bit, Linux 32/64-bit and Mac OS X (Intel)
| genre = Technical computing
| license = Proprietary
| website = [http://tomopt.com/tomlab/ TOMLAB product page]
}}
The TOMLAB{{cite book | last = Holmström | first = Kenneth |author2=Quttineh, Nils-Hassan |author3=Edvall, Marcus M. | title = An adaptive radial basis algorithm {(ARBF)} for expensive black-box mixed-integer constrained global optimization | date = 7 February 2008 | publisher = Journal of Optimization and Engineering | doi = 10.1007/s11081-008-9037-3 |issn=1389-4420 }}{{cite book | last = Kallrath | first = Josef |author2=Holmström, Kenneth |author3=Edvall, Marcus M. | title = Modeling Languages in Mathematical Optimization (Applied Optimization) | date = 29 February 2004 | publisher = Springer | isbn = 1-4020-7547-2 }}{{cite journal | last = Holmström | first = Kenneth |author2=Edvall, Marcus M. |author3=Göran Anders O. | title = TOMLAB - for Large-Scale Robust Optimization | date = 21 October 2003 | publisher = Nordic MATLAB Conference 2003 | url = http://tomopt.com/docs/NordicMATLAB_TOMLAB.pdf }} Optimization Environment is a modeling platform for solving applied optimization problems in MATLAB.
Description
TOMLAB is a general purpose development and modeling environment[http://tomopt.com/tomlab/about/ "TOMLAB OPTIMIZATION", TOMOPT Home Page] Juli, 2014. 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{{cite book | last = Holmström | first = Kenneth | title = An adaptive radial basis algorithm {(ARBF)} for expensive black-box global optimization | date = 7 November 2007 | publisher = Journal of Global Optimization (JOGO) | doi = 10.1007/s10898-007-9256-8 |issn=0925-5001 }}
- Nonlinear complementarity problems
Additional features
- TOMLAB supports more areas than general optimization, for example:
- Optimal control with PROPT using Gauss and Chebyshev collocation.[http://tomdyn.com/ "PROPT - Matlab Optimal Control Software (DAE, ODE)", PROPT Home Page] April, 2009.
- Automatic differentiation with MAD[http://matlabad.com/ "Matlab Automatic Differentiation (MAD) - matlabAD", MAD Home Page] June, 2008.
- Interface to AMPL
Further details
TOMLAB supports solvers like 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
{{reflist}}
External links
- [http://tomopt.com/tomlab/ TOMLAB]
- [http://matlabad.com/ MAD] (MATLAB Automatic Differentiation)
- [http://tomdyn.com/ PROPT - MATLAB Optimal Control Software]
{{Mathematical optimization software}}
{{DEFAULTSORT:Tomlab}}