arXiv · 2606.13579
Optimal Proximity Bound and Product Function Estimates in Integer Linear Programming
Abstract
We obtain an optimal proximity bound for integer linear programs in standard form max{cx: Ax=b, x nonnegative integer}, where A is an integer mxn matrix of rank m<n and b is an integer vector. Specifically, we show that the Euclidean distance from any optimal vertex solution of the LP relaxation to a nearest optimal integer solution is bounded by $\sqrt{\det(AA^t)}-1$ and that this estimate is asymptotically tight. We also derive bounds for the optimal integer solutions involving the product function $\prod_{i=1}^{n}(x_i+1)$ and discuss their applications in the knapsack setting.
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Iskander Aliev, Gennadiy Averkov, William Jones, Timm Oertel. 2026-06-11. Optimal Proximity Bound and Product Function Estimates in Integer Linear Programming. https://arxiv.org/abs/2606.13579
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