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normally distributed pseudo-random number generator randn  (MathWorks Inc)


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    MathWorks Inc normally distributed pseudo-random number generator randn
    Normally Distributed Pseudo Random Number Generator Randn, 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/normal+distribution+generator/pm38768239-165-11-27
    Average 90 stars, based on 1 article reviews
    normally distributed pseudo-random number generator randn - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Generated:

    Article Title: A stochastic model for topographically influenced cell migration.
    Article Snippet: Migrating cells traverse a range of topographic configurations presented by the native extracellular environment to conduct their physiologic functions.. It is well documented cells can modulate their behaviour in response to different topographic features, finding promising applications in biomaterial and bioimplant design.. It is useful, in these areas of research, to be able to predict which topographic arrangements could be used to promote certain patterns of migration prior to laboratory experimentation.

    Article Title: Where's Whaledo: A software toolkit for array localization of animal vocalizations.
    Article Snippet: Random perturbations are added to the TDOAs using a normally distributed pseudo-random number generator (randn in PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1011456 May 20, 2024 10 / 23 MATLAB) with variances of s2sml (Eq 6) and s 2 lrg (Eq 7) for the small- and large-aperture TDOAs respectively.

    Article Title: Optimized signal deduction procedure for the MIEZE spectroscopy technique
    Article Snippet: The first ten single events with the desired sinusoidal distribution are generated using the pseudo-random generator of MATLAB and histogrammed subsequently.

    Article Title: Robustness and parameter geography in post-translational modification systems
    Article Snippet: The real part of each coordinate of each sampled parameter point was specified to 10 significant figures.6 The seeds used to initialize the MATLAB pseudo-random number generator are given in Table A.7 Naming the input files.

    Article Title: Where’s Whaledo : A software toolkit for array localization of animal vocalizations
    Article Snippet: Random perturbations are added to the TDOAs using a normally distributed pseudo-random number generator ( randn in MATLAB) with variances of σ sml 2 ( ) and σ lrg 2 ( ) for the small- and large-aperture TDOAs respectively.

    Article Title: Optimal Identification and Metaheuristic PID Control of a Two-Tank System
    Article Snippet: The uncertainties were generated at random, by using the uniform pseudo-random generator of MATLAB (rand function).

    Article Title: Robustness and parameter geography in post-translational modification systems
    Article Snippet: The first column specifies how the sample was generated (number of points, domain, and method), the second specifies the seed, and the third and fourth specify the dataset and path at which the sample is located. σ t Dataset 1 2 3 4 5 6 2.5 2C 3939 8190 6690 8744 5326 3380 3.0 2D 7919 9149 4185 5719 5817 4819 4.0 2E 5045 9475 8972 9675 8673 9801 5.0 2F 2225 5625 4097 5218 5716 4765 7.0 2G 4598 6587 2486 3771 4307 9879 10 2H 4080 9576 6288 2352 5579 5448 15 2I 7161 4770 2976 5740 3400 385 20 2J 6692 7586 719 5668 1833 248 50 2K 3514 5182 8587 3616 7722 272 100 2L 5190 3359 4708 3522 3935 8712 200 2M 4841 9782 4802 9344 8406 8393 500 2N 9078 797 6687 2869 7261 7730 Table B: Seeds used to initialize the MATLAB pseudo-random number generator for VEGAS sampling.

    Article Title: Retracted Article: Binding Mechanism of Aviation Wire Harness Based on Improved Particle Swarm Optimization
    Article Snippet: Since the position of the optimal solution is not known, the particles will use the random number generator to generate random numbers during initialization, but the random number generator provided by MATLAB is a pseudo-random number generator, which cannot evenly and randomly distribute the particles in the entire search space, which may increase the difficulty of optimization.

    Sampling:

    Article Title: A stochastic model for topographically influenced cell migration.
    Article Snippet: Migrating cells traverse a range of topographic configurations presented by the native extracellular environment to conduct their physiologic functions.. It is well documented cells can modulate their behaviour in response to different topographic features, finding promising applications in biomaterial and bioimplant design.. It is useful, in these areas of research, to be able to predict which topographic arrangements could be used to promote certain patterns of migration prior to laboratory experimentation.

    Article Title: Where's Whaledo: A software toolkit for array localization of animal vocalizations.
    Article Snippet: Random perturbations are added to the TDOAs using a normally distributed pseudo-random number generator (randn in PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1011456 May 20, 2024 10 / 23 MATLAB) with variances of s2sml (Eq 6) and s 2 lrg (Eq 7) for the small- and large-aperture TDOAs respectively.

    Article Title: Optimized signal deduction procedure for the MIEZE spectroscopy technique
    Article Snippet: The first ten single events with the desired sinusoidal distribution are generated using the pseudo-random generator of MATLAB and histogrammed subsequently.

    Article Title: Robustness and parameter geography in post-translational modification systems
    Article Snippet: The real part of each coordinate of each sampled parameter point was specified to 10 significant figures.6 The seeds used to initialize the MATLAB pseudo-random number generator are given in Table A.7 Naming the input files.

    Article Title: Where’s Whaledo : A software toolkit for array localization of animal vocalizations
    Article Snippet: Random perturbations are added to the TDOAs using a normally distributed pseudo-random number generator ( randn in MATLAB) with variances of σ sml 2 ( ) and σ lrg 2 ( ) for the small- and large-aperture TDOAs respectively.

    Article Title: Optimal Identification and Metaheuristic PID Control of a Two-Tank System
    Article Snippet: The uncertainties were generated at random, by using the uniform pseudo-random generator of MATLAB (rand function).

    Article Title: Robustness and parameter geography in post-translational modification systems
    Article Snippet: The first column specifies how the sample was generated (number of points, domain, and method), the second specifies the seed, and the third and fourth specify the dataset and path at which the sample is located. σ t Dataset 1 2 3 4 5 6 2.5 2C 3939 8190 6690 8744 5326 3380 3.0 2D 7919 9149 4185 5719 5817 4819 4.0 2E 5045 9475 8972 9675 8673 9801 5.0 2F 2225 5625 4097 5218 5716 4765 7.0 2G 4598 6587 2486 3771 4307 9879 10 2H 4080 9576 6288 2352 5579 5448 15 2I 7161 4770 2976 5740 3400 385 20 2J 6692 7586 719 5668 1833 248 50 2K 3514 5182 8587 3616 7722 272 100 2L 5190 3359 4708 3522 3935 8712 200 2M 4841 9782 4802 9344 8406 8393 500 2N 9078 797 6687 2869 7261 7730 Table B: Seeds used to initialize the MATLAB pseudo-random number generator for VEGAS sampling.

    Article Title: Retracted Article: Binding Mechanism of Aviation Wire Harness Based on Improved Particle Swarm Optimization
    Article Snippet: Since the position of the optimal solution is not known, the particles will use the random number generator to generate random numbers during initialization, but the random number generator provided by MATLAB is a pseudo-random number generator, which cannot evenly and randomly distribute the particles in the entire search space, which may increase the difficulty of optimization.



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