Unique lifting of integer variables in minimal inequalities
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Abstract (arXiv)
This paper contributes to the theory of cutting planes for mixed integer linear programs (MILPs). Minimal valid inequalities are well understood for a relaxation of an MILP in tableau form where all the nonbasic variables are continuous; they are derived using the gauge function of maximal lattice-free convex sets. In this paper we study lifting functions for the nonbasic integer variables starting from such minimal valid inequalities. We characterize precisely when the lifted coefficient is equal to the coefficient of the corresponding continuous variable in every minimal lifting. The answer is a nonconvex region that can be obtained as a finite union of convex polyhedra. We then establish a necessary and sufficient condition for the uniqueness of the lifting function.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 23 Jan 2017.
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- 2024Learning Cut Generating Functions for Integer Programming22 May 2024