Efficient designs are in high demand in practice for both computer and physical experiments.
Existing designs (such as maximin distance designs and uniform designs) may have bad …

Maximin distance Latin hypercube designs are commonly used for computer experiments,
but the construction of such designs is challenging. We construct a series of maximin Latin …

The probability density evolution method is renowned for its effectiveness in conducting
stochastic seismic response analyses of structures with uncertain parameters. Within this …

Abstract Space-filling designs are widely used in both computer and physical experiments.
Column-orthogonality, maximin distance, and projection uniformity are three basic and …

Space-filling designs based on orthogonal arrays are attractive for computer experiments for
they can be easily generated with desirable low-dimensional stratification properties …

An attractive type of space-filling design for computer experiments is the class of maximin
distance designs. Algorithmic search is commonly used for finding such designs, but this …

Strong orthogonal arrays have better space-filling properties than ordinary orthogonal arrays
for computer experiments. We consider column-orthogonal strong orthogonal arrays of …

Maximin distance Latin hypercube designs are widely used in computer experiments, yet
their construction is challenging. Based on number theory and finite fields, we propose three …

Maximin distance designs are a kind of space-filling design, and are widely used in
computer experiments. However, although much work has been done on constructing such …

Abstract The Probability Density Evolution Method (PDEM) is effective for stochastic dynamic
analysis of structures. Within PDEM, the selection of representative point sets and the …