activity
20062022
most citedConvergence of algorithms for reconstructing convex bodies and directional measures

46 citations · 95 across the 9 of their papers we have counts for

collaborators

10 papers

math.FA2022★ 5 cited

The Pólya-Szegő inequality for smoothing rearrangements

Gabriele Bianchi, Richard J. Gardner, Paolo Gronchi +1

A basic version of the Pólya-Szegő inequality states that if is a Young function, the -Dirichlet energy -- the integral of -- of a suitable function $f\in…

math.NT2021★ 1 cited

On a partition with a lower expected -discrepancy than classical jittered sampling

Markus Kiderlen, Florian Pausinger

We prove that classical jittered sampling of the -dimensional unit cube does not yield the smallest expected -discrepancy among all stratified samples with $N=m^d…

math.ST2020

Discrepancy of stratified samples from partitions of the unit cube

Markus Kiderlen, Florian Pausinger

We extend the notion of jittered sampling to arbitrary partitions and study the discrepancy of the related point sets. Let be a partition of a…

math.MG2019★ 6 cited

Rearrangement and polarization

Gabriele Bianchi, Richard J. Gardner, Paolo Gronchi +1

The paper has two main goals. The first is to take a new approach to rearrangements on certain classes of measurable real-valued functions on . Rearrangements are map…

math.PR2017★ 2 cited

Dilation volumes of sets of finite perimeter

Markus Kiderlen, Jan Rataj

This paper analyzes the first order behavior (that is, the right sided derivative) of the volume of the dilation as converges to zero. Here and are subsets…

math.MG2015★ 17 cited

Voronoi-based estimation of Minkowski tensors from finite point samples

Daniel Hug, Markus Kiderlen, Anne Marie Svane

Intrinsic volumes and Minkowski tensors have been used to describe the geometry of real world objects. This paper presents an estimator that allows to approximate these quantities…

math.PR2014

Surface tensor estimation from linear sections

Astrid Kousholt, Markus Kiderlen, Daniel Hug

From Crofton's formula for Minkowski tensors we derive stereological estimators of translation invariant surface tensors of convex bodies in the n-dimensional Euclidean space. The…

physics.med-ph2013★ 9 cited

Efficient calculation of local dose distribution for response modelling in proton and ion beams

S. Greilich, U. Hahn, M. Kiderlen +2

We present an algorithm for fast and accurate computation of the local dose distribution in MeV beams of protons, carbon ions or other heavy-charged particles. It uses compound Poi…

math.MG2010★ 9 cited

Phase retrieval for characteristic functions of convex bodies and reconstruction from covariograms

Gabriele Bianchi, Richard J. Gardner, Markus Kiderlen

We propose strongly consistent algorithms for reconstructing the characteristic function 1_K of an unknown convex body K in R^n from possibly noisy measurements of the modulus of i…

math.ST2006★ 46 cited

Convergence of algorithms for reconstructing convex bodies and directional measures

Richard J. Gardner, Markus Kiderlen, Peyman Milanfar

We investigate algorithms for reconstructing a convex body in from noisy measurements of its support function or its brightness function in directions $u_1,…