Optimal sliced latin hypercube designs
WebThis task view collects information on R packages for experimental design and analysis of data from experiments. Packages that focus on analysis only and do not make relevant contributions for design creation are not considered in the scope of this task view. Please feel free to suggest enhancements, and please send information on new packages or … WebThis article proposes a method for constructing a new type of space-filling design, called a sliced Latin hypercube design, intended for running computer experiments. Such a design …
Optimal sliced latin hypercube designs
Did you know?
WebMay 7, 2024 · Sliced Latin hypercube designs with arbitrary run sizes. Latin hypercube designs achieve optimal univariate stratifications and are useful for computer … WebSep 1, 2005 · To improve the space-filling property as well as to maintain a good computational efficiency in sampling, some researchers proposed to search an optimal …
Web2 days ago · If we consider the first of these three options, this means that there is a design that has an average RPV that is only (1/0.992 − 1) = 0.008 or 0.8% larger than the I-optimal design and has a maximum RPV that is (1/0.844 − 1) = 0.185 or 18.5% larger than the G-optimal design.Similarly, for the third option, the design has both the average and … WebThis function utilizes a version of the simulated annealing algorithm and several computational shortcuts to efficiently generate the optimal Latin Hypercube Designs …
WebOptimal-Sliced-Latin-Hypercube-Designs / src / design.cpp Go to file Go to file T; Go to line L; Copy path Copy permalink; This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Cannot retrieve contributors at this time. WebLatin hypercube samples are non-collapsing. Figure 3(a) illustrates the case of a Latin hypercube design with d=3 dimensions and p=15 points. Any of the two-dimensional projections is still a Latin hypercube design with the same p=15 points (although, for this particular case, the x 1 x 2 projection is the best in terms of space filling). Thus ...
WebMay 2, 2024 · This function utilizes a version of the simulated annealing algorithm and several computational shortcuts to efficiently generate the optimal Latin Hypercube Designs (LHDs) and the optimal Sliced Latin Hypercube Designs (SLHDs). The maximin distance criterion is adopted as the optimality criterion.
WebSliced Latin hypercube designs (SLHDs) have important applications in designing computer experiments with continuous and categorical factors. However, a randomly generated … floating walls basementWeb最优分片拉丁超立方设计. Contribute to DougZheng/Optimal-Sliced-Latin-Hypercube-Designs development by creating an account on GitHub. floating wall shelf with drawersWebWe can consider proposing a method that is easily adapted to generate the optimal design. In this paper, we propose an improved method to construct SLHDs with slices of arbitrary … floating wall shelf systemWebApr 1, 1994 · In this paper, optimal Latin-hypercube designs minimizing IMSE or maximizing entropy are considered. These designs turn out to be well spread over the design region … great lakes dental technologies llcWebIn the Optimal Latin Hypercube technique the design space for each factor is divided uniformly (the same number of divisions, n n, for all factors). These levels are randomly … great lakes demographicsWebWe can consider proposing a method that is easily adapted to generate the optimal design. In this paper, we propose an improved method to construct SLHDs with slices of arbitrary run sizes, which are called flexible sliced Latin hypercube designs (FSLHDs). The new construction method can be easily adapted to generate the optimal design. great lakes demolitionWebAug 6, 2024 · Abstract: Sliced Latin hypercube designs (SLHDs) are widely used in computer experiments with both quantitative and qualitative factors and in batches. … great lakes dental association spirit lake ia