activity
20112026
most citedEfficient calculation of the worst-case error and (fast) component-by-component construction of higher order polynomial lattice rules

58 citations · 157 across the 61 of their papers we have counts for

collaborators

79 papers

math.NA2026

The -Luxemburg Discrepancy for Nonnegative Weights Suffers from the Curse of Dimensionality

Josef Dick, Friedrich Pillichshammer

We study the normalized discrepancy in the Luxemburg norm generated by . For arbitrary nonnegative quadrature weights, we prove that the associated information com…

math.NA2026

Infinite sequences with optimal diaphony, periodic -discrepancy, and beyond

Peter Kritzer, Nicolas Nagel, Friedrich Pillichshammer

We investigate the periodic -discrepancy of infinite sequences in and its analytic counterpart, the diaphony. We prove that infinite order-2 digital sequences…

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.NA2025

Second order interlaced polynomial lattice rules for integration over

Tiangang Cui, Josef Dick, Friedrich Pillichshammer

We study numerical integration of functions with respect to a probability measure. By applying the corresponding inverse cumulative distribution…

math.NA2025★ 1 cited

The star discrepancy of a union of randomly digitally shifted Korobov polynomial lattice point sets depends polynomially on the dimension

Josef Dick, Friedrich Pillichshammer

The star discrepancy is a quantitative measure of the uniformity of a point set in the unit cube. A central quantity of interest is the inverse of the star discrepancy, $N(\varepsi…

math.NT2025

On the quasi-uniformity properties of quasi-Monte Carlo point sets and sequences -- Part I: Lattices and Kronecker sequences

Josef Dick, Takashi Goda, Gerhard Larcher +2

The discrepancy of a point set quantifies how well the points are distributed, with low-discrepancy point sets demonstrating exceptional uniform distribution properties. Such sets…