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==The modellib collection== | ==The modellib collection== | ||
===Introduction=== | |||
The bundle <tt>modellib</tt> is a collection of linear and mixed-integer programming problems. For each problem there are two m-files. One that formulate and define the problem with words and tables, and a second that interpret the tables into the standard <tt>TOMLAB prob</tt> format and solves it. In order to interpret the results a large amount of text is displayed explaining the x_k vector. | |||
The problems in modellib are originally from a translation by Hickpe of the text "Programmation linare" by Gueret, Prins and Seveaux with the english title "Applications of optimization...". | |||
===Problems=== | |||
*[[Models Mining and Processing|Mining and Processing]] | *[[Models Mining and Processing|Mining and Processing]] | ||
*[[Models Scheduling|Scheduling]] | *[[Models Scheduling|Scheduling]] | ||
| Line 47: | Line 54: | ||
==Additional downloads: lp prob, milp prob and qp prob== | ==Additional downloads: lp prob, milp prob and qp prob== | ||
At the [http://tomopt.com/tomlab/download/manuals.php TOMLAB downloads page] three zip files with more problems can be found. Many of these are quite large and may be good as test cases for benchmarking. A package of about 250 MB with mixed LP/MILP are also available from your TOMLAB representative. | |||
*[[Models Additional linear programming test problems: lp_prob|Additional linear programming test problems: lp_prob]] | *[[Models Additional linear programming test problems: lp_prob|Additional linear programming test problems: lp_prob]] | ||
*[[Models Additional mixed-integer linear programming test problems: milp_prob|Additional mixed-integer linear programming test problems: milp_prob]] | *[[Models Additional mixed-integer linear programming test problems: milp_prob|Additional mixed-integer linear programming test problems: milp_prob]] | ||
*[[Models Additional quadratic programming test problems: qp_prob|Additional quadratic programming test problems: qp_prob]] | *[[Models Additional quadratic programming test problems: qp_prob|Additional quadratic programming test problems: qp_prob]] | ||
Latest revision as of 09:32, 12 August 2011
The testprob collection
Introduction
Each of the sections in this part will demonstrate a problem class. Most sections also have a small example in Matlab code with a formal mathematical problem description.
The functions probInit and tomrun respectively initializes and solves the problems in Matlab. For example:
Prob = probInit('gp_prob',1);
tomRun('',Prob)
Problems
- Linear Programming Problems: lp_prob
- Mixed-Integer Linear Programming Problems: mip_prob
- Quadratic Programming Problems: qp_prob
- Mixed-Integer Quadratic Programming Problems: mipq_prob
- Mixed-Integer Quadratic Programming Problems with Quadratic Constraints: miqq_prob
- Nonlinear Programming Problems: con_prob and chs_prob
- Mixed-Integer Nonlinear Programming Problems: minlp_prob
- Linear Least Squares Problems: lls_prob
- (Constrained) Nonlinear Least Squares Problems: cls prob, mgh_prob and ls_prob
- Global Optimization Problems: glb_prob, lgo1_prob, lgo2_prob and gkls_prob
- Constrained Global Optimization Problems: glc_prob
- Unconstrained Optimization: uc_prob and uhs_prob
- Linear Semi-Definite Programming Problem with Linear Matrix Inequalities: sdp_prob
- Linear Semi-Definite Programming Problem with Bilinear Matrix Inequalities: bmi_prob
- Constrained Goal Attainment Problems: goals_prob and mco_prob
- Geometric programming problems: gp_prob
- Fitting of positive sums of Exponentials: exp_prob
The modellib collection
Introduction
The bundle modellib is a collection of linear and mixed-integer programming problems. For each problem there are two m-files. One that formulate and define the problem with words and tables, and a second that interpret the tables into the standard TOMLAB prob format and solves it. In order to interpret the results a large amount of text is displayed explaining the x_k vector.
The problems in modellib are originally from a translation by Hickpe of the text "Programmation linare" by Gueret, Prins and Seveaux with the english title "Applications of optimization...".
Problems
- Mining and Processing
- Scheduling
- Planning
- Loading and Cutting
- Ground transport
- Air transport
- Telecommunication
- Economics
- Timetabling
- Public Services
Additional downloads: lp prob, milp prob and qp prob
At the TOMLAB downloads page three zip files with more problems can be found. Many of these are quite large and may be good as test cases for benchmarking. A package of about 250 MB with mixed LP/MILP are also available from your TOMLAB representative.
