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Construction of orthogonal and nearly orthogonal latin hypercube designs from orthogonal designs

Authors: Jinyu Yang; Min-Qian Liu;

Construction of orthogonal and nearly orthogonal latin hypercube designs from orthogonal designs

Abstract

Latin hypercube designs (LHDs), widely used for computer experiments, are a very large class of designs with desirable properties. Recently, a number of methods have been proposed to construct orthogonal LHDs. In this paper, we in- troduce an approach to constructing 2 r -order orthogonal designs. The methods are simple and easy to implement. Using orthogonal designs, we propose some methods for constructing orthogonal and nearly orthogonal LHDs so that the elementwise square of each column and the elementwise product of any two distinct columns are orthogonal to all columns. Further, the resulting nearly orthogonal LHDs with 2 r+1 +2 runs and 2 r factors have the minimum correlation between any two distinct columns.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
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