Convex hull characterizations of lexicographic orderings

Journal of Global Optimization(2016)

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摘要
Given a p -dimensional nonnegative, integral vector α, this paper characterizes the convex hull of the set S of nonnegative, integral vectors x that is lexicographically less than or equal to α. To obtain a finite number of elements in S , the vectors x are restricted to be component-wise upper-bounded by an integral vector u. We show that a linear number of facets is sufficient to describe the convex hull. For the special case in which every entry of u takes the same value (n-1) for some integer n ≥ 2, the convex hull of the set of n -ary vectors results. Our facets generalize the known family of cover inequalities for the n=2 binary case. They allow for advances relative to both the modeling of integer variables using base- n expansions, and the solving of knapsack problems having weakly super-decreasing coefficients. Insight is gained by alternately constructing the convex hull representation in a higher-variable space using disjunctive programming arguments.
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关键词
Convex hull,Facets,Knapsack problem
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