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random number generator module  (MathWorks Inc)


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    Structured Review

    MathWorks Inc random number generator module
    Random Number Generator Module, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/random+number+generation+module/pm37447542-105-3-16
    Average 90 stars, based on 1 article reviews
    random number generator module - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Stochastic modelling of landfill processes incorporating waste heterogeneity and data uncertainty.
    Article Snippet: A landfill is a very complex heterogeneous environment and as such it presents many modelling challenges.. Attempts to develop models that reproduce these complexities generally involve the use of large numbers of spatially dependent parameters that cannot be properly characterised in the face of data uncertainty.. An alternative method is presented, which couples a simplified microbial degradation model with a stochastic hydrological and contaminant transport model.



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    Image Search Results


    ( a ) Algorithm for the SFEA framework, ( b ) schematic representing the algorithm of Monte Carlo simulation (MCS) module, and ( c ) schematic illustrating the random number generator (RNG) module .

    Journal: Polymers

    Article Title: Magnetic Filler Polymer Composites—Morphology Characterization and Experimental and Stochastic Finite Element Analyses of Mechanical Properties

    doi: 10.3390/polym15132897

    Figure Lengend Snippet: ( a ) Algorithm for the SFEA framework, ( b ) schematic representing the algorithm of Monte Carlo simulation (MCS) module, and ( c ) schematic illustrating the random number generator (RNG) module .

    Article Snippet: The random number generator module (RNG), shown in c, is created using the programming environment MATLAB (MathWorks, Natick, MA, USA), which facilitates the generation of random numbers required for input variables.

    Techniques: