English

Improving the Cook et al. Proximity Bound Given Integral Valued Constraints

Optimization and Control 2021-11-03 v1 Combinatorics

Abstract

Consider a linear program of the form max  cx:Axb\max\;c^{\top}x:Ax\leq b, where AA is an m×nm\times n integral matrix. In 1986 Cook, Gerards, Schrijver, and Tardos proved that, given an optimal solution xx^{*}, if an optimal integral solution zz^{*} exists, then it may be chosen such that xz<nΔ\left\Vert x^{*}-z^{*}\right\Vert _{\infty}<n\Delta, where Δ\Delta is the largest magnitude of any subdeterminant of AA. Since then an open question has been to improve this bound, assuming that bb is integral valued too. In this manuscript we show that nΔn\Delta can be replaced with n2Δ\frac{n}{2}\cdot\Delta whenever n2n\geq2. We also show that, in certain circumstances, the factor nn can be removed entirely.

Keywords

Cite

@article{arxiv.2111.01782,
  title  = {Improving the Cook et al. Proximity Bound Given Integral Valued Constraints},
  author = {Marcel Celaya and Stefan Kuhlmann and Joseph Paat and Robert Weismantel},
  journal= {arXiv preprint arXiv:2111.01782},
  year   = {2021}
}

Comments

13 pages

R2 v1 2026-06-24T07:23:09.469Z