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Proximity Bounds for Random Integer Programs

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Integer Programming and Combinatorial Optimization (IPCO 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12707))

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Abstract

We study proximity bounds within a natural model of random integer programs of the type \(\max \varvec{c}^{\top }\varvec{x}:\varvec{A}\varvec{x}=\varvec{b},\,\varvec{x}\in \mathbb {Z}_{\ge 0}\), where \(\varvec{A}\in \mathbb {Z}^{m\times n}\) is of rank m, \(\varvec{b}\in \mathbb {Z}^{m}\) and \(\varvec{c}\in \mathbb {Z}^{n}\). In particular, we seek bounds for proximity in terms of the parameter \(\varDelta (\varvec{A})\), which is the square root of the determinant of the Gram matrix \(\varvec{A}\varvec{A}^{\top }\) of \(\varvec{A}\). We prove that, up to constants depending on n and m, the proximity is “generally” bounded by \(\varDelta (\varvec{A})^{1/(n-m)}\), which is significantly better than the best deterministic bounds which are, again up to dimension constants, linear in \(\varDelta (\varvec{A})\).

The first author was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy—The Berlin Mathematics Research Center MATH+(EXC-2046/1, project ID: 390685689).

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Acknowledgements

The authors wish to thank the anonymous referees for their helpful comments and suggestions.

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Correspondence to Marcel Celaya .

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Celaya, M., Henk, M. (2021). Proximity Bounds for Random Integer Programs. In: Singh, M., Williamson, D.P. (eds) Integer Programming and Combinatorial Optimization. IPCO 2021. Lecture Notes in Computer Science(), vol 12707. Springer, Cham. https://doi.org/10.1007/978-3-030-73879-2_29

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  • DOI: https://doi.org/10.1007/978-3-030-73879-2_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73878-5

  • Online ISBN: 978-3-030-73879-2

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