1) Latin hypercube designs 拉丁超立方设计 2) Latin Hypercube Sampling 拉丁超立方 1. Taguchi method was used to select the most important factors of multistage forging process and a kind of random sampling method,Latin hypercube sampling was applied to design and execute the numerical simulation exp...
Matthieu Petelet, Bertrand Iooss, Olivier Asserin, and Alexandre Loredo. Latin hypercube sampling with inequality constraints. AStA Advances in Statistical Analysis, 94(4):325-339, 2010.Petelet, M., Iooss, B., Asserin, O., Loredo, A.: Latin hypercupe sampling with inequality constraints....
Latin hypercube sampling In the ‘classical’ design of physical experiments, a random variation is accounted for by spreading the sample points out in the design space and by taking multiple (replicated) data points (Simpsonet al., 2001). However, when it comes to deterministic computer experime...
Optimal Experiment Design, Latin Hypercube This is a preview of subscription content, log in via an institution to check access. Editor information Editors and Affiliations Biomedical Sciences Research Institute, University of Ulster, Coleraine, UK Werner Dubitzky Department of Computer Science, ...
Design of experiments (DoE) and machine learning packages for the iCFree project machine-learningdesign-of-experimentslatin-hypercube-samplingcell-free UpdatedDec 2, 2024 Python jakobbossek/dandy Star4 Wrapper for sampling methods in R and approximate star discrepancy calculation ...
Orthogonal-Maximin Latin Hypercube Designs:正交拉丁超立方体设计的极大极小 Latin Hypercube Sampling Monte Carlo Estimation of… An algorithm for fast optimal Latin hypercube design of… Generalized wordtype pattern for asymmetrical factorial designs with ... exploratory designs for computational experiments ...
Optimal Experiment Design, Latin HypercubeLatin hypercube sampling Latin hypercube design is a way to generate design points that can spread observations evenly over the range of each input variable. For a Latin hypercube design of size n,...doi:10.1007/978-1-4419-9863-7_1233Ying Hung...
Latin hypercube sampling (LHS) uses a stratified sampling scheme to improve on the coverage of the k-dimensional input space for such computer models. This means that a single sample will provide useful information when some input variable(s) dominate certain responses (or certain time intervals)...
In this article, a sensitivity study based on a Latin hypercube (LH) sampling design is compared with a similar study using a full factorial (FF), fixed-point smaple. A discrete, Monte Carlo model of epidemics of influenzavirus infections in a human community is used for illustrative ...
I am attempting to take into account the interaction among 5 different parameters in aLatin hypercube designin Python 3.8. However, I can't understand how, probably also because - not being my field - I never used these methods. I initially posted this on Stack Overflow, but it seems...