**TOMLAB /MODELS Manual**- Introduction to TOMLAB Models
- Contents
- 1 The testprob collection
- 2 Linear Programming
- 3 Mixed-Integer Linear Programming
- 4 Quadratic Programming
- 5 Mixed-Integer Quadratic Programming
- 6 Mixed-Integer Quadratic w QC
- 7 Nonlinear Programming
- 8 Mixed-Integer Nonlinear Programming
- 9 Linear Least Squares
- 10 Nonlinear Least Squares Problems
- 11 Global Optimization
- 12 Constrained Global Optimization
- 13 Unconstrained Optimization
- 14 Linear Semi-Definite w LMI
- 15 Linear Semi-Definite w BMI
- 16 Constrained Goal Attainment
- 17 Geometric programming
- 18 Exponential Fitting
- 19 Traveling Salesman Problems
- 20 The modellib collection
- 21 Mining and Processing
- 22 Scheduling
- 23 Planning
- 24 Loading and Cutting
- 25 Ground transport
- 26 Air transport
- 27 Telecommunication
- 28 Economics
- 29 Timetabling
- 30 Public Services
- 31 The additional downloads collection
- 32 Additional linear.
- 33 Additional mixed-integer.
- 34 Additional quadratic.

where

`glo1_prob`

there are 17 unconstrained optimization problems (with simple bounds)
with up to three variables.
In order to define the problem `n`

and solve it execute the following in Matlab:
Prob = probInit('uc_prob',n); Result = tomRun('',Prob);

`glo2_prob`

there are 25 unconstrained optimization problems (with simple bounds)
with up to 10 variables.
In order to define the problem `n`

and solve it execute the following in Matlab:
Prob = probInit('uhs_prob',n); Result = tomRun('',Prob);