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matlab function 'lhsdesign  (MathWorks Inc)


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    MathWorks Inc matlab function 'lhsdesign
    Matlab Function 'Lhsdesign, 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/matlab+function+lhsdesign/pm37906548-151-27-25
    Average 90 stars, based on 1 article reviews
    matlab function 'lhsdesign - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: In Silico Modeling for Ex Vivo Placental Transfer of Morphine
    Article Snippet: The analysis was performed using “lhsdesign” in Matlab (Mathworks Inc., Natick, Massachusetts), and the ODE system was solved with the “ode45” function.

    Article Title: Bio-inspired thin-walled energy absorber adapted from the xylem structure for enhanced vehicle safety
    Article Snippet: In this work, the “lhsdesign” MATLAB built-in function is utilized to create 80 training points (ten times the number of design variables) by Latin hypercube sampling (LHS) [64].

    Article Title: Parametric Dynamic Simulation and Bayesian Design Optimization of a Front-Loading Washing Machine
    Article Snippet: The MATLAB function, lhsdesign, is utilized to obtain N sample points considering the DVs lower and upper bound, and N is a user input.

    Article Title: A novel adaptive-weight ensemble surrogate model base on distance and mixture error
    Article Snippet: The robustness of the surrogate model, when trained with different training sample sets, is tested by generating 100 different sets of training samples using the Matlab function ‘lhsdesign’ with different random seed settings. presents the median values for the error measurements of the surrogate models when trained with different training sample sets.

    Article Title: Hypoglycaemia combined with mild hypokalaemia reduces the heart rate and causes abnormal pacemaker activity in a computational model of a human sinoatrial cell
    Article Snippet: The sampling was performed by using the ‘lhsdesign’ algorithm in MATLAB.

    Article Title: A novel adaptive-weight ensemble surrogate model base on distance and mixture error.
    Article Snippet: The robustness of the surrogate model, when trained with different training sample sets, is tested by generating 100 different sets of training samples using the Matlab function ‘lhsdesign’ with different random seed settings.

    Generated:

    Article Title: Dynamical mechanisms of growth-feedback effects on adaptive gene circuits
    Article Snippet: .. The circuit parameters are randomly generated by the Latin hypercube sampling method ( ) using the function ‘lhsdesign’ in Matlab. ..

    Sampling:

    Article Title: Dynamical mechanisms of growth-feedback effects on adaptive gene circuits
    Article Snippet: .. The circuit parameters are randomly generated by the Latin hypercube sampling method ( ) using the function ‘lhsdesign’ in Matlab. ..

    Article Title: A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data
    Article Snippet: To calculate the total-effects indices \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$S_{{T},i}$$\end{document} S T , i , we first generate two independent random samples of the parameter set leveraging Latin Hypercube Sampling as provided by lhsdesign in MATLAB. .. To calculate the total-effects indices \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$S_{{T},i}$$\end{document} S T , i , we first generate two independent random samples of the parameter set leveraging Latin Hypercube Sampling as provided by lhsdesign in MATLAB. ..



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