“LHS in LHS”: A new expansion strategy for Latin hypercube sampling in simulation design

Latin Hypercube Sampling (LHS) is a prominent tool in simulation design, with a variety of applications in high-dimensional and computationally expensive problems. LHS allows for various optimization strategies, most notably to ensure space-filling properties. However, LHS is a single-stage algorith...

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Bibliographic Details

Published in:	SoftwareX
Main Authors:	Matteo Boschini, Davide Gerosa, Alessandro Crespi, Matteo Falcone
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Simulation design Latin hypercube sampling Space-filling
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352711025002602