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On Lifting Integer Variables in Minimal Inequalities

机译:在最小的不平等中提升整数变量

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摘要

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. 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 the union of convex polyhedra.
机译:本文有助于混合整数线性计划(MILLS)的切割平面理论。最小的有效不平等是很好地理解,在Tableau形式中放松一个摩洛尔,所有非比定变量都是连续的。在本文中,我们从这种最小的有效不等式开始的非基本整数变量的提升函数。当提升系数等于每次最小升降时,提升系数等于相应连续变量的系数时,精确地表征。答案是一个非透露区域,可以获得作为凸多面体的结合。

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