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zbMATH Open
Article
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SIAM Journal on Scientific Computing
Article . 1994 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 1994
Data sources: DBLP
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Quasi-Random Sequences and Their Discrepancies

Quasi-random sequences and their discrepancies
Authors: William J. Morokoff; Russel E. Caflisch;

Quasi-Random Sequences and Their Discrepancies

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Keywords

low discrepancy sequences, Pseudo-random numbers; Monte Carlo methods, integral equations, Irregularities of distribution, discrepancy, Brownian sheet, Monte Carlo methods, particle simulations, quasi-random sequence

  • BIP!
    Impact byBIP!
    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).
    269
    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.
    Top 1%
    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 0.1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
269
Top 1%
Top 0.1%
Top 10%
bronze