Constructing optimal star discrepancy sets

We provide in this paper a constructive proof of optimal <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper L Subscript normal infinity"> <mml:semantics> <mml:msub> <mml:mi>L</mml:mi> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mi mathvariant="normal">∞</mml:mi> </mml:mrow> </mml:msub> <mml:annotation encoding="application/x-tex">L_{\infty }</mml:annotation> </mml:semantics> </mml:math> </inline-formula> star discrepancy values in dimension 2 for up to 21 points and up to 8 points in dimension 3. This extends work by White (Numer. Math. <bold>27</bold> (1976/77), no. 2, 157–164) for up to six points in dimension 2 and of Larcher and Pillichshammer (J. Comput. Appl. Math. <bold>206</bold> (2007), no. 2, 977–985) for two points in arbitrary dimensions. We show that these optimal sets have a far lower discrepancy than the previous references and, perhaps more importantly, present a very different structure.

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Journal
Proceedings of the American Mathematical Society Series B
Published
2025-05-02
DOI
https://doi.org/10.1090/bproc/254
Primary Topic
Mathematical Approximation and Integration
Type
article
Field-Weighted Citation Impact
0.00

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article

Constructing optimal star discrepancy sets

Carola Doerr, Luís Paquete, Kathrin Klamroth, François Clément
Proceedings of the American Mathematical Society Series B
Mathematical Approximation and Integration
article

Constructing optimal star discrepancy sets

Carola Doerr, Luís Paquete, Kathrin Klamroth, François Clément
article en

Abstract

We provide in this paper a constructive proof of optimal <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper L Subscript normal infinity"> <mml:semantics> <mml:msub> <mml:mi>L</mml:mi> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mi mathvariant="normal">∞</mml:mi> </mml:mrow> </mml:msub> <mml:annotation encoding="application/x-tex">L_{\infty }</mml:annotation> </mml:semantics> </mml:math> </inline-formula> star discrepancy values in dimension 2 for up to 21 points and up to 8 points in dimension 3. This extends work by White (Numer. Math. <bold>27</bold> (1976/77), no. 2, 157–164) for up to six points in dimension 2 and of Larcher and Pillichshammer (J. Comput. Appl. Math. <bold>206</bold> (2007), no. 2, 977–985) for two points in arbitrary dimensions. We show that these optimal sets have a far lower discrepancy than the previous references and, perhaps more importantly, present a very different structure.

Proceedings of the American Mathematical Society Series BVol. 12(7)
Centre National de la Recherche Scientifique (FR), University of Wuppertal (DE), Université Paris Cité (FR), Sorbonne Université (FR), LIP6 (FR), University of Coimbra (PT)
Deutscher Akademischer Austauschdienst, Ministère de l'Europe et des Affaires Étrangères, Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche, Sorbonne Université, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 86%
Mathematical Approximation and Integration
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Constructing optimal star discrepancy sets — Carola Doerr, Luís Paquete, et al. · Proceedings of the American Mathematical Society Series B (2025) | TGRS Research Map | TGRS