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The one-dimensional Euclidean domain: Finitely many obstructions are not enough
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We show that one-dimensional Euclidean preference profiles can not be characterized in terms of finitely many forbidden substructures. This result is in strong contrast to the case of single-peaked and single-crossing preference profiles, for which such finite characterizations have been derived in the literature.
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Practical approach to $2$-Euclidean Preferences
A suite of convex-hull forbidden substructures, reduction rules, ILP, and QCP recognizes 2-Euclidean elections quickly, solving 283 more PrefLib instances than the previous algorithm.
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