Optimal orthogonal-array-based latin hypercubes

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THE COYOTE UNIVERSE. II. COSMOLOGICAL MODELS AND PRECISION EMULATION OF THE NONLINEAR MATTER POWER SPECTRUM (2009, background): “Leary et al. (2003) suggest an optimal strategy to ensure even better coverage of the parameter space.”
Design of computer experiments: space filling and beyond (2011, unknown): “The L2-consistency of this estimator is proved in Leonenko et al. (2008) for any α ∈ (1, (k + 1)/2) when k ≥ 2 (respectively α ∈ (1,1 + 1/[2d]) when k = 1) if f is bounded. For α < 1, one may refer to Penrose and Yukich (2011) for the a.”
Pitfalls of using a single criterion for selecting experimental designs (2008, methodology): “[22], different criteria such as maximization of minimum distance between points or minimization of correlation between points are used to improve its performance.”
Structural reliability analysis using a copula-function-based evidence theory model (2014, methodology): “To improve the computational efficiency, the quadratic response surface method [65] is employed to create the approximate models for the two performance functions with 40 samples obtained by the Latin hypercube design (LHD) [66].”
Computer Model Calibration Using High-Dimensional Output (2008, methodology): “We typically use space-ﬁlling Latin hypercube (LH) designs (Tang 1993; Ye, Li, and Sudjianto 2000; Leary, Bhaskar, and Keane 2003) to generate simulation runs in the applications we encounter.”