This tutorial covers introductory topics in linear programming. Its intended audience includes undergraduates or MBA students learning the subjects for the first time. It may also be appropriate for people wishing to brush-up on the topics they learned previously.

Each section begins with the basics and then offers you the chance to explore topics in more detail if you are interested. At any time you can switch between topics or return to a previous location and review prior information. The tutorial covers the following topics:

  An Introduction - What is a linear program?
 
  Formulating an LP
 
   Linear Programming Geometry
 
  The Simplex Method (briefly)
 
  Sensitivity Analysis


All the material in this tutorial was developed by Keely Croxton and should be considered copyrighted. You may write links to this page, but please do not duplicate the material in any way. You can contact Keely Croxton at croxton@cob.osu.edu if you would like more information.