Improving the Cook et al. Proximity Bound Given Integral Valued Constraints
Abstract
Consider a linear program of the form \;cx:Ax≤ b, where A is an m× n integral matrix. In 1986 Cook, Gerards, Schrijver, and Tardos proved that, given an optimal solution x*, if an optimal integral solution z* exists, then it may be chosen such that x*-z* ∞<n, where is the largest magnitude of any subdeterminant of A. Since then an open question has been to improve this bound, assuming that b is integral valued too. In this manuscript we show that n can be replaced with n2· whenever n≥2. We also show that, in certain circumstances, the factor n can be removed entirely.
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