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sobol low-discrepancy sequence  (MathWorks Inc)


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    MathWorks Inc sobol low-discrepancy sequence
    Sobol Low Discrepancy Sequence, 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/sobol+low-discrepancy+sequence/pm38116742-139-16-21
    Average 90 stars, based on 1 article reviews
    sobol low-discrepancy sequence - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Generated:

    Article Title: Efficient sensitivity analysis for biomechanical models with correlated inputs.
    Article Snippet: The input space Xn of the test and training set was generated by sampling with a Sobol low-discrepancy sequence, using the MATLAB function sobolset.52 In total, 5000 input sets were generated and used to run 5000 simulations with the 1D pulse wave propagation model.

    Sampling:

    Article Title: Efficient sensitivity analysis for biomechanical models with correlated inputs.
    Article Snippet: The input space Xn of the test and training set was generated by sampling with a Sobol low-discrepancy sequence, using the MATLAB function sobolset.52 In total, 5000 input sets were generated and used to run 5000 simulations with the 1D pulse wave propagation model.

    Sequencing:

    Article Title: Efficient sensitivity analysis for biomechanical models with correlated inputs.
    Article Snippet: The input space Xn of the test and training set was generated by sampling with a Sobol low-discrepancy sequence, using the MATLAB function sobolset.52 In total, 5000 input sets were generated and used to run 5000 simulations with the 1D pulse wave propagation model.



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    Image Search Results


    Breakdown of the sampled variance of the lumped background parameters BEI z NaBF 4 in all three end-point impact categories in terms of Sobol indices, under combined foreground/background uncertainty.

    Journal: ACS Sustainable Chemistry & Engineering

    Article Title: Global Sensitivity Analysis in Life-Cycle Assessment of Early-Stage Technology using Detailed Process Simulation: Application to Dialkylimidazolium Ionic Liquid Production

    doi: 10.1021/acssuschemeng.3c00547

    Figure Lengend Snippet: Breakdown of the sampled variance of the lumped background parameters BEI z NaBF 4 in all three end-point impact categories in terms of Sobol indices, under combined foreground/background uncertainty.

    Article Snippet: Sample generation for all these uncertain parameters is coordinated from Matlab using quasi Monte Carlo sampling based on low-discrepancy Sobol sequences and interfaced with Aspen-HYSYS for simulating the process flowsheets in each uncertainty scenario.

    Techniques:

    Breakdown of the sampled variance of each end-point impact EI z in terms of their first- and second-order Sobol indices for [BMIM][BF 4 ] (top) and [BMIM][PF 6 ] (bottom).

    Journal: ACS Sustainable Chemistry & Engineering

    Article Title: Global Sensitivity Analysis in Life-Cycle Assessment of Early-Stage Technology using Detailed Process Simulation: Application to Dialkylimidazolium Ionic Liquid Production

    doi: 10.1021/acssuschemeng.3c00547

    Figure Lengend Snippet: Breakdown of the sampled variance of each end-point impact EI z in terms of their first- and second-order Sobol indices for [BMIM][BF 4 ] (top) and [BMIM][PF 6 ] (bottom).

    Article Snippet: Sample generation for all these uncertain parameters is coordinated from Matlab using quasi Monte Carlo sampling based on low-discrepancy Sobol sequences and interfaced with Aspen-HYSYS for simulating the process flowsheets in each uncertainty scenario.

    Techniques: