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Integer Programming with Mathematica

Michael Bulmer
Organization: Department of Biological Sciences, Rutgers University
M. Carter
Journal / Anthology

The Mathematica Journal
Year: 1996
Volume: 6
Issue: 3
Page range: 28-36

Linear programming is the most widely used procedure in practical optimization. In earlier articles in the Journal, we introduced the simplex method for solving linear programming problems and provided some tools for sensitivity analysis. In this article, we show how these tools can be extended to encompass integer linear programming, when some or all of the decision variables must be integers.

*Applied Mathematics > Optimization