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Comprehensive Guide to Implementing Latin Hypercube Sampling MATLAB Code
"Latin Hypercube Sampling (LHS) is a statistical method used to generate a near-random sample of parameter values from a multidimensional distribution, making it an essential technique in uncertainty quantification, Monte Carlo simulations, and reliability engineering. MATLAB provides robust native capabilities alongside manual scripting paths to execute LHS efficiently, enabling engineers and data scientists to explore complex design spaces without incurring the high computational costs of exhaustive grid searches or pure random sampling. Understanding Latin Hypercube Sampling in MATLAB Latin Hypercube Sampling was first described by Michael..."
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