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Mathematics and Computers in Simulation
Article . 2019 . Peer-reviewed
License: Elsevier TDM
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zbMATH Open
Article . 2019
Data sources: zbMATH Open
DBLP
Article . 2019
Data sources: DBLP
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Quasi-Monte Carlo simulation of coagulation–fragmentation

Quasi-Monte Carlo simulation of coagulation-fragmentation
Authors: Christian Lécot; Pierre L'Ecuyer; Rami El Haddad; Ali Tarhini;

Quasi-Monte Carlo simulation of coagulation–fragmentation

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
France
Keywords

[SPI]Engineering Sciences [physics], quasi-Monte Carlo method, low-discrepancy sequence, stochastic particle method, coagulation equation, fragmentation equation, Monte Carlo methods applied to problems in statistical mechanics

  • 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).
    4
    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 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
4
Top 10%
Average
Average
Green
bronze