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The continuous knapsack set

Author

Listed:
  • DASH, Sanjeeb

    (IBM Watson Research Center)

  • GÜNLÜK, Oktay

    (IBM Watson Research Center)

  • WOLSEY, Laurence A.

    (Université catholique de Louvain, CORE, Belgium)

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 2n − 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.

Suggested Citation

  • DASH, Sanjeeb & GÜNLÜK, Oktay & WOLSEY, Laurence A., 2014. "The continuous knapsack set," LIDAM Discussion Papers CORE 2014007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvco:2014007
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    References listed on IDEAS

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    More about this item

    Keywords

    continuous knapsack set; single arc flow set; convex hull; facet coefficients;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation

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