Efficient sampling strategies that scale with the size of the problem, computational budget,
and users' needs are essential for various sampling-based analyses, such as sensitivity and …

This paper presents the translational propagation algorithm, a new method for obtaining
optimal or near optimal Latin hypercube designs (LHDs) without using formal optimization …

We present a new method for constructing nearly orthogonal Latin hypercubes that greatly
expands their availability to experimenters. Latin hypercube designs have proven useful for …

Computer experimentation is integral to modern scientific research, national defense,
industry and manufacturing, and in public policy debates. Traditional design of experiments …

Analysts faced with conducting experiments involving quantitative factors have a variety of
potential designs in their portfolio. However, in many experimental settings involving …

In order to better understand the complex nature of a system, analysts need efficient
experimental designs that can explore high-dimensional simulation models with multiple …

Factor screening is performed to eliminate unimportant factors so that the remaining
important factors can be more thoroughly studied in later experiments. Controlled sequential …

Computer simulations are usually needed to study a complex physical process. In this
paper, we propose new procedures for constructing orthogonal or low-correlation block …

Latin hypercubes are the most widely used class of design for high-dimensional computer
experiments. However, the high correlations that can occur in developing these designs can …

This research develops methods that increase the inventory of space-filling designs (SFDs)
for large-scale computer-based experiments. We present a technique enabling researchers …