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random number generator matlab rng  (MathWorks Inc)


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    MathWorks Inc random number generator matlab rng
    Random Number Generator Matlab Rng, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 28 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/random+generator/MATLAB+Report+Generator/pm42784195-450-82-84
    Average 93 stars, based on 28 article reviews
    random number generator matlab rng - by Bioz Stars, 2026-11
    93/100 stars

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    Related Articles

    other:

    Article Title: p-Value combiners for graphical modelling of EEG data in the frequency domain.
    Article Snippet: In order to obtain the same AR(1) models across simulations, we fix the random generator tarting seed at seed = 2 in MatLab: seed = 2; % any strictly positive integer rng(seed) ience Methods 271 (2016) 92–106 105 Appendix B.

    Article Title: Predicting mining-induced dynamic deformations for drilling solution rock salt mine based on probability integral method and weibull temporal function
    Article Snippet: Long-term dynamic monitoring and sustainable prediction of rock salt mines is extremely important in preventing potential geological damages.. However, the future prediction of the mining-induced surface displacement after the underground mining extraction cannot be achieved with single MultiTemporal Differential Interferometric Synthetic Aperture Radar (MT-InSAR) technique, which can only reveal the deformation history during the period of Synthetic Aperture Radar (SAR) acquisition dates.. In this paper, a novel dynamic model, namely Dynamic Probability Integral Method (DPIM), based on the integration of Probability Integral Method (PIM) and Weibull temporal function, is proposed in order to predict the future dynamic subsidence for the period which can not covered by the SAR acquisitions.

    Article Title: Clandestine nanoelectromechanical tags for identification and authentication
    Article Snippet: A random generator is developed in MATLAB to identify the values of W random , i and T random , i over ±10% uncertainty.

    Article Title: Grain-wise simulation of stochastic damage and failure verified on a TiAl polycrystal
    Article Snippet: Microstructure of alloys contains typically stochastic distributed constituents (grains) with uneven properties.. Recent progresses in computational modelling enable microstructuresensitive and multi-scale simulations methods, where stochastic properties can be considered with an increasing resolution of local details.. In this work a stochastic approach was proposed where several numerical aspects are treated in a finite element framework: (i) determination of grain-wise properties; (ii) the kind of stochastic distribution; (iii) introduction of necessary but appropriate idealizations regarding real microstructure; (iv) use of appropriate constitutive models for deformation, damage and fracture.

    Article Title: Design of efficient multiobjective binary PSO algorithms for solving multi‐item capacitated lot‐sizing problem
    Article Snippet: Correspondence Hanen Ben Ammar, Mechanics, Modelling and Production Research Laboratory, Mechanical Department, National School of Engineering of Sfax, University of Sfax, Rte de Soukra B.P.. 1173, 3038 Sfax, Tunisia.. Email: hanen.benammar@enis.tn Abstract In this paper, a multi‐item capacitated lot‐sizing problem with setup times and backlogging (MICLSP_SB) is addressed with respect to two conflicting objective functions.

    Generated:

    Article Title: Fuzzy-stochastic FEM-based homogenization framework for materials with polymorphic uncertainties in the microstructure
    Article Snippet: .. We generated firstly the 100 000 random numbers possessing Gaussian distribution using the standard random generator in Matlab. ..

    Article Title: Multiple-cache parallel reduction and applications
    Article Snippet: Each product between x and a column of A is a single reduction, so M vector-column products are a suitable environment for the multiple-cache approach to demonstrate its strength. .. Both vector x and matrix A can be generated using Matlab's random generator. ..

    Plasmid Preparation:

    Article Title: Multiple-cache parallel reduction and applications
    Article Snippet: Each product between x and a column of A is a single reduction, so M vector-column products are a suitable environment for the multiple-cache approach to demonstrate its strength. .. Both vector x and matrix A can be generated using Matlab's random generator. ..

    Produced:

    Article Title: Side effects of monaural beat stimulation during sustained mental work on mind wandering and performance measures
    Article Snippet: .. To accomplish this, consecutive random sequences of the six stimulation conditions were produced (MATLAB random generator; drawing without laying back). ..



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