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On Proximity for k-Regular Mixed-Integer Linear Optimization

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Optimization of Complex Systems: Theory, Models, Algorithms and Applications (WCGO 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 991))

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Abstract

Putting a finer structure on a constraint matrix than is afforded by subdeterminant bounds, we give sharpened proximity results for the setting of k-regular mixed-integer linear optimization.

Supported in part by ONR grant N00014-17-1-2296.

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Correspondence to Jon Lee .

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Xu, L., Lee, J. (2020). On Proximity for k-Regular Mixed-Integer Linear Optimization. In: Le Thi, H., Le, H., Pham Dinh, T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. WCGO 2019. Advances in Intelligent Systems and Computing, vol 991. Springer, Cham. https://doi.org/10.1007/978-3-030-21803-4_44

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