Sebastian Angrick

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20212026

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cs.CG2026

Computing All Optimal Partial $p$ -Wasserstein Matchings on the Line

Sebastian Angrick, Jacobus Conradi, Mónika Csikós +5

For $p \geq 1$ , the $p$ -Wasserstein distance measures the minimum cost of transporting probability mass between distributions, where moving unit mass between two points costs the $p…

cs.CG2026

Computing $L_{\infty}$ Hausdorff Distances Under Translations: The Interplay of Dimensionality, Symmetry and Discreteness

Sebastian Angrick, Kevin Buchin, Geri Gokaj +1

To measure the shape similarity of point sets, various notions of the Hausdorff distance under translation are widely studied. In this context, for an $n$ -point set $P$ and $m$ -poi…

Computing All Optimal Partial p-Wasserstein Matchings on the Line

Computing L∞​ Hausdorff Distances Under Translations: The Interplay of Dimensionality, Symmetry and Discreteness

Computing All Optimal Partial $p$ -Wasserstein Matchings on the Line

Computing $L_{\infty}$ Hausdorff Distances Under Translations: The Interplay of Dimensionality, Symmetry and Discreteness