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The TOMLAB Environment is a modeling platform for solving applied optimization problems in MATLAB.
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
TOMLAB Manuals
TOMLAB Manual
Includes general TOMLAB information and solver reference for the TOMLAB Base Module.
Quickguide
Basics associated with solving problems using the TOMLAB Optimization Environment.
Models
A short introduction to the TOMLAB Models.
SAL
Standalone execution of TOMLAB. Compilation instructions.
Installation
Guide for installation of demos and permanently licensed TOMLAB components.
