Improvement of random LHD for high dimensions
Andrey Pepelyshev
TL;DR
This paper reviews experimental design methods for multivariate cases and introduces a fast algorithm to construct high-quality Latin hypercube designs suitable for high-dimensional problems.
Contribution
A novel, efficient algorithm for constructing Latin hypercube designs tailored for high-dimensional experimental setups.
Findings
Algorithm improves design quality in high dimensions
Reduces computational time for design construction
Enhances accuracy of multivariate experiments
Abstract
Designs of experiments for multivariate case are reviewed. Fast algorithm of construction of good Latin hypercube designs is developed.
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Taxonomy
TopicsElectromagnetic Scattering and Analysis · Electromagnetic Simulation and Numerical Methods · Antenna Design and Optimization