A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials, developed by various projects of the University of Twente (NL), the Netherlands eScience Center (NL), University of Newcastle (AU), and Hiroshima University (JP).

(t, m, s)-nets generator / Генератор (t, m, s)-сетей

Low-discrepancy sequences based on quadratic irrationals

Quasi-random (low discrepancy) sequence generators with randomizations: Lattice and Digital Nets.

Souce code for my MSc Thesis in Computer Science “Nested Marvellous Sequences”