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The continuous knapsack set

Sanjeeb Dash (sanjeebd***at***us.ibm.com)
Oktay Gunluk (gunluk***at***us.ibm.com)
Wolsey Laurence (laurence.wolsey***at***uclouvain.be)

Abstract: We study the convex hull of the continuous knapsack set which consists of a single inequality constraint with n non-negative integer and m non-negative bounded continuous variables. When n = 1, this set is a slight generalization of the single arc flow set studied by Magnanti, Mirchandani, and Vachani (1993). We first show that in any facet-defining inequality, the number of distinct non-zero coefficients of the continuous variables is bounded by 2^n-n. Our next result is to show that when n = 2, this upper bound is actually 1. This implies that when n = 2, the coefficients of the continuous variables in any facet-defining inequality are either 0 or 1 after scaling, and that all the facets can be obtained from facets of continuous knapsack sets with m = 1. The convex hull of the sets with n = 2 and m = 1 is then shown to be given by facets of either two-variable pure-integer knapsack sets or continuous knapsack sets with n = 2 and m = 1 in which the continuous variable is unbounded. The convex hull of these two sets has been completely described by Agra and Constantino (2006). Finally we show (via an example) that when n = 3, the non-zero coefficients of the continuous variables can take different values.

Keywords: integer programming, single arc flow set

Category 1: Integer Programming ((Mixed) Integer Linear Programming )

Citation: IBM Research Report

Download: [PDF]

Entry Submitted: 02/03/2014
Entry Accepted: 02/03/2014
Entry Last Modified: 11/04/2015

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