Analysis and Synthesis of Digital Dyadic Sequences

06/12/2023
by   Abdalla G. M. Ahmed, et al.
0

We explore the space of matrix-generated (0, m, 2)-nets and (0, 2)-sequences in base 2, also known as digital dyadic nets and sequences. We provide a complete characterization of the design space and count the possible number of constructions with and without considering possible reorderings of the point set. Based on this analysis, we then show that every digital dyadic net can be reordered into a sequence, together with a corresponding algorithm. Finally, we present a novel family of self-similar digital dyadic sequences, to be named ξ-sequences, that spans a subspace with fewer degrees of freedom. Those ξ-sequences are extremely efficient to sample and compute, and we demonstrate their advantages over the classic Sobol (0, 2)-sequence.

READ FULL TEXT

page 1

page 8

page 10

page 11

page 12

page 14

research
06/19/2021

The nonzero gain coefficients of Sobol's sequences are always powers of two

When a plain Monte Carlo estimate on n samples has variance σ^2/n, then ...
research
07/11/2022

Improved bounds on the gain coefficients for digital nets in prime base

We study randomized quasi-Monte Carlo integration by scrambled nets. The...
research
02/25/2021

Digital almost nets

Digital nets (in base 2) are the subsets of [0,1]^d that contain the exp...
research
05/10/2019

Nets and Reverse Mathematics, a pilot study

Nets are generalisations of sequences involving possibly uncountable ind...
research
09/09/2021

Degrees of randomized computability: decomposition into atoms

In this paper we study structural properties of LV-degrees of the algebr...
research
09/28/2018

Strong Collapse for Persistence

We introduce a fast and memory efficient approach to compute the persist...
research
07/07/2021

Information-theoretic characterization of the complete genotype-phenotype map of a complex pre-biotic world

How information is encoded in bio-molecular sequences is difficult to qu...

Please sign up or login with your details

Forgot password? Click here to reset