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Author

Émile Naquin

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Preprint Sep 2026

A Reusable Framework for Robust Approximation Algorithms in the Interval Uncertainty Model

Robust optimization under interval uncertainty aims to compute solutions that perform well on a range of scenarios that are described by interval-constrained costs. In this paper, we revisit a framework introduced by Ganesh, Maggs and Panigrahi in 2020 to study the robust optimization of NP-hard problems under interval...

Ralf Klasing, Tobias Mömke, Émile Naquin · 0 citations

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