Things you wanted to know about the Latin hypercube design and were afraid to ask
نویسنده
چکیده
1. Abstract The growing power of computers enabled techniques coined for design and analysis of simulations to be applied to a large spectrum of problems and to reach high level of acceptance among practitioners. Generally, when simulations are time consuming, a surrogate model replaces the computer code in further studies. The very first step for successful surrogate modeling and statistical analysis is the planning of the input configuration that will be used to exercise the simulation code. Among strategies coined for computer experiments, Latin hypercube designs have become particularly popular. This paper provides a short overview of the research in Latin hypercube design of experiments, highlighting potential reasons of its widespread use. The discussion starts with the early developments in optimization of the point selection and goes all the way to the pitfalls of always using Latin hypercube designs for selecting experimental designs. Then, final thoughts are given on how the Latin hypercube design fits in the state of the art as well as opportunities for future research. 2.
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