On bounded pitch inequalities for the min-knapsack polytope

January 26, 2018 Β· Declared Dead Β· πŸ› International Symposium on Combinatorial Optimization

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Authors Yuri Faenza, Igor Malinović, Monaldo Mastrolilli, Ola Svensson arXiv ID 1801.08850 Category cs.DS: Data Structures & Algorithms Citations 4 Venue International Symposium on Combinatorial Optimization Last Checked 4 months ago
Abstract
In the min-knapsack problem one aims at choosing a set of objects with minimum total cost and total profit above a given threshold. In this paper, we study a class of valid inequalities for min-knapsack known as bounded pitch inequalities, which generalize the well-known unweighted cover inequalities. While separating over pitch-1 inequalities is NP-hard, we show that approximate separation over the set of pitch-1 and pitch-2 inequalities can be done in polynomial time. We also investigate integrality gaps of linear relaxations for min-knapsack when these inequalities are added. Among other results, we show that, for any fixed $t$, the $t$-th CG closure of the natural linear relaxation has the unbounded integrality gap.
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