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==The testprob collection== | ==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 <tt>probInit</tt> and <tt>tomrun</tt> respectively initializes and solves the problems in Matlab. For example: | |||
<pre> | |||
Prob = probInit('gp_prob',1); | |||
tomRun('',Prob) | |||
</pre> | |||
===Problems=== | |||
*[[Models Linear Programming Problems: lp_prob|Linear Programming Problems: lp_prob]] | *[[Models Linear Programming Problems: lp_prob|Linear Programming Problems: lp_prob]] | ||
*[[Models Mixed-Integer Linear Programming Problems: mip_prob|Mixed-Integer Linear Programming Problems: mip_prob]] | *[[Models Mixed-Integer Linear Programming Problems: mip_prob|Mixed-Integer Linear Programming Problems: mip_prob]] | ||
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==The modellib collection== | ==The modellib collection== | ||
*[[Models Introduction to modellib|Introduction to modellib]] | *[[Models Introduction to modellib|Introduction to modellib]] | ||
*[[Models Mining and Processing|Mining and Processing]] | *[[Models Mining and Processing|Mining and Processing]] | ||
| Line 32: | Line 46: | ||
*[[Models Public Services|Public Services]] | *[[Models Public Services|Public Services]] | ||
==Additional | ==Additional downloads: lp prob, milp prob and qp prob== | ||
*[[Models Introduction to additional downloads|Introduction to additional downloads]] | *[[Models Introduction to additional downloads|Introduction to additional downloads]] | ||
*[[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]] | ||
Revision as of 07:45, 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 to modellib
- Mining and Processing
- Scheduling
- Planning
- Loading and Cutting
- Ground transport
- Air transport
- Telecommunication
- Economics
- Timetabling
- Public Services
