lhsdesigncon

version 1.1.0.0 (7 KB) by Rik Blok
Latin hypercube sample with constraints.

649 Downloads

Updated 17 Aug 2015

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Generate an NxP latin hypercube sample with bounds and linear constraints and optional exponential distribution.
X=LHSDESIGNCON(N,P,LB,UB,ISEXP) generates a latin hypercube sample X containing N values on each of P variables. For each column, if ISEXP is FALSE the N values are randomly distributed with one from each of N intervals, between LB and UB, of identical widths (UB-LB)/N, and they are randomly permuted. For columns with ISEXP=TRUE, the logarithm of the intervals have identical widths.
X=LHSDESIGNCON(...,A,b) generates a latin hypercube sample subject to the linear inequalities A*x ? b.

X=LHSDESIGNCON(...,'PARAM1',val1,'PARAM2',val2,...) specifies parameter name/value pairs to control the sample generation. See LHSDESIGN for valid parameters.

Cite As

Rik Blok (2022). lhsdesigncon (https://github.com/rikblok/matlab-lhsdesigncon), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2014a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Acknowledgements

Inspired by: Latin Hypercube

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.