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 fun...
Description / Details
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 and that this estimate is asymptotically tight. We also derive bounds for the optimal integer solutions involving the product function and discuss their applications in the knapsack setting.
Source: arXiv:2606.13579v1 - http://arxiv.org/abs/2606.13579v1 PDF: https://arxiv.org/pdf/2606.13579v1 Original Link: http://arxiv.org/abs/2606.13579v1
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Jun 12, 2026
Mathematics
Mathematics
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