
doi: 10.4064/aa102-2-7
The theory of digital \((t, m, s)\)-nets provides powerful tools for the construction of low-discrepancy point sets in the \(s\)-dimensional unit cube. In this paper the duality theory for digital nets developed recently by \textit{H. Niederreiter} and \textit{G. Pirsic} [Acta Arith. 97, 173-182 (2001; Zbl 0972.11066)] is applied to establish a new propagation rule for digital nets. Furthermore, the authors construct families of digital \((t, m, s)\)-nets with the property that if \(m-t\) is fixed and the dimension \(s\) tends to \(\infty\), then the quality parameter \(t\) grows at the minimal rate.
Pseudo-random numbers; Monte Carlo methods, Irregularities of distribution, discrepancy, low-discrepancy point sets, duality, propagation rule for digital nets, digital \((t,m,s)\)-nets, Linear codes (general theory)
Pseudo-random numbers; Monte Carlo methods, Irregularities of distribution, discrepancy, low-discrepancy point sets, duality, propagation rule for digital nets, digital \((t,m,s)\)-nets, Linear codes (general theory)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
