Tukey Depth Histograms
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Combinatorial representations of point sets play an important role in discrete and computational geometry. In this work, we investigate a new combinatorial quantity of a point set, called Tukey depth histogram. The Tukey depth histogram of k-flats in Rd with respect to a point set P, is a vector Dk,d(P), whose i’th entry Dik,d(P) denotes the number of k-flats spanned by k+ 1 points of P that have Tukey depth i with respect to P. It turns out that several problems in discrete and computational geometry can be phrased in terms of such depth histograms. As our main result, we give a complete characterization of the depth histograms of points, that is, for any dimension d we give a description of all possible histograms D0,d(P). This then allows us to compute the exact number of different histograms of points.
Originalsprog | Engelsk |
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Titel | Combinatorial Algorithms - 33rd International Workshop, IWOCA 2022, Proceedings |
Redaktører | Cristina Bazgan, Henning Fernau |
Forlag | Springer |
Publikationsdato | 2022 |
Sider | 186-198 |
ISBN (Trykt) | 9783031066771 |
DOI | |
Status | Udgivet - 2022 |
Begivenhed | 33rd International Workshop on Combinatorial Algorithms, IWOCA 2022 - Trier, Tyskland Varighed: 7 jun. 2022 → 9 jun. 2022 |
Konference
Konference | 33rd International Workshop on Combinatorial Algorithms, IWOCA 2022 |
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Land | Tyskland |
By | Trier |
Periode | 07/06/2022 → 09/06/2022 |
Navn | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Vol/bind | 13270 LNCS |
ISSN | 0302-9743 |
Bibliografisk note
Funding Information:
The third author has received funding from the European Research Council under the European Unions Seventh Framework Programme ERC Grant agreement ERC StG 716424 - CASe.
Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
Links
- https://arxiv.org/pdf/2103.08665.pdf
Indsendt manuskript
ID: 318801524