 
                                                                                | Article ID: | iaor19981400 | 
| Country: | Netherlands | 
| Volume: | 8 | 
| Issue: | 3 | 
| Start Page Number: | 263 | 
| End Page Number: | 272 | 
| Publication Date: | Nov 1997 | 
| Journal: | Computational Optimization and Applications | 
| Authors: | Zhu Nan, Broughan Kevin | 
| Keywords: | computational analysis | 
A necessary and sufficient condition for identification of dominated columns, which correspond to one type of redundant integer variables, in the matrix of a general Integer Programming problem, is derived. The given condition extends our recent work on eliminating dominated integer variables in Knapsack problems, and revises a recently published procedure for reducing the number of variables in general Integer Programming problems given in the literature. A report on computational experiments for one class of large scale Knapsack problems, illustrating the function of this approach, is included.