2011
DOI: 10.1287/opre.1110.0916
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A Geometric Perspective on Lifting

Abstract: Recently, it has been shown that minimal inequalities for a continuous relaxation of mixed integer linear programs are associated with maximal lattice-free convex sets. In this paper, we show how to lift these inequalities for integral nonbasic variables by considering maximal lattice-free convex sets in a higher-dimensional space. We apply this approach to several examples. In particular, we identify cases where the lifting is unique.

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Cited by 48 publications
(56 citation statements)
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“…Recently, this construction has been studied in [19], [13], [9]. We next demonstrate that inequality (12) is a crooked cross cut for T .…”
Section: 'Monoidal' Strengtheningmentioning
confidence: 89%
See 1 more Smart Citation
“…Recently, this construction has been studied in [19], [13], [9]. We next demonstrate that inequality (12) is a crooked cross cut for T .…”
Section: 'Monoidal' Strengtheningmentioning
confidence: 89%
“…Subsequently, Cornuéjols and Margot [16] gave an exact characterization of the split cuts and intersection cuts based on maximal lattice-free triangles and maximal lattice-free quadrilaterals that yield facet-defining inequalities for this set. Many authors have extended these results to semi-infinite version of the canonical k-row set and to higher values of k [12] [32], to sets with more structure, such as bounds on nonbasic variables [2], the integrality of non-basic variables [20,22], the nonnegativity of basic integer variables [10,11], [21], [25], and both the integrality of non-basic variables and non-negativity of basic integer variables [9] [13]. See [18] for a recent survey on the topic.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, Dey and Wolsey [25,20] and Conforti, Cornuéjols and Zambelli [16] considered the problem of exploiting any integrality constraint on non-basic variables. They propose a way to, given a valid intersection cut for P I , strengthen the coefficients of the nonbasic integer variables by solving a so-called lifting problem.…”
Section: Overviewmentioning
confidence: 99%
“…Several variants of (2) have been studied; see for example [2,3,10,11,14,15,17,20,21,29] and [19] for a recent survey on the topic. This relaxation (2) has at least two appealing features : i) it is possible to obtain a complete characterization of all facet-defining inequalities using intersections cuts derived from the so-called maximal lattice-free convex sets and ii) the cutting planes derived from these facet-defining inequalities have the strongest possible coefficients for the continuous variables.…”
Section: Introductionmentioning
confidence: 99%