pith. sign in

arxiv: 2005.07938 · v2 · pith:QEQ5XG2Xnew · submitted 2020-05-16 · 🧮 math.ST · stat.TH

Efficient quantization and weak covering of high dimensional cubes

classification 🧮 math.ST stat.TH
keywords mathbbdeltadesignquantizationapproximationscoveragepointsquality
0
0 comments X
read the original abstract

Let $\mathbb{Z}_n = \{Z_1, \ldots, Z_n\}$ be a design; that is, a collection of $n$ points $Z_j \in [-1,1]^d$. We study the quality of quantization of $[-1,1]^d$ by the points of $\mathbb{Z}_n$ and the problem of quality of coverage of $[-1,1]^d$ by ${\cal B}_d(\mathbb{Z}_n,r)$, the union of balls centred at $Z_j \in \mathbb{Z}_n$. We concentrate on the cases where the dimension $d$ is not small ($d\geq 5$) and $n$ is not too large, $n \leq 2^d$. We define the design ${\mathbb{D}_{n,\delta}}$ as a $2^{d-1}$ design defined on vertices of the cube $[-\delta,\delta]^d$, $0\leq \delta\leq 1$. For this design, we derive a closed-form expression for the quantization error and very accurate approximations for {the coverage area} vol$([-1,1]^d \cap {\cal B}_d(\mathbb{Z}_n,r))$. We provide results of a large-scale numerical investigation confirming the accuracy of the developed approximations and the efficiency of the designs ${\mathbb{D}_{n,\delta}}$.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.