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math.NA2026

The -Discrepancy with Nonnegative Weights Suffers from the Curse of Dimensionality

Josef Dick

We prove that the -discrepancy with arbitrary nonnegative weights suffers from the curse of dimensionality. More precisely, for every and $d \in \mathb…

math.NA2026

Spherical Cap Discrepancy -- Blessing of Dimensionality and a Balanced Large-Cap Variant

Johann S. Brauchart, Josef Dick, Friedrich Pillichshammer

We prove that the information complexity (i.e., the inverse) of the classical spherical cap discrepancy on the -dimensional sphere decreases with dimension…

math.NA2026

Worst-case -approximation of periodic functions using median lattice algorithms

Zexin Pan, Mou Cai, Josef Dick +2

We study the worst-case approximation of multivariate periodic functions from the weighted Korobov space with smoothness in the Lebesgue norm

math.NA2026

The inverse of the star discrepancy of a union of randomly shifted Korobov rank-1 lattice point sets depends polynomially on the dimension

Jiarui Du, Josef Dick

The inverse of the star discrepancy, , defined as the minimum number of points required to achieve a star discrepancy of at most in dimension , is known to depend…

math.NA2025

A lattice algorithm with multiple shifts for function approximation in Korobov spaces

Mou Cai, Josef Dick, Takashi Goda

In this paper, we propose a novel algorithm for function approximation in a weighted Korobov space based on shifted rank-1 lattice rules. To mitigate aliasing errors inherent in la…