Optimal sliced latin hypercube designs
WebAug 6, 2024 · Abstract: Sliced Latin hypercube designs (SLHDs) are widely used in computer experiments with both quantitative and qualitative factors and in batches. … WebSliced Latin hypercube designs (SLHDs) are widely used in computer experiments with both quantitative and qualitative factors and in batches. Optimal SLHDs achieve better space-filling...
Optimal sliced latin hypercube designs
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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 … 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.
WebAug 6, 2024 · Sliced Latin hypercube designs (SLHDs) are widely used in computer experiments with both quantitative and qualitative factors and in batches. Optimal SLHDs achieve better space-filling... WebApr 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 without replicated coordinate values, often symmetric, and nearly optimal among all Latin-hypercube designs. A 2-stage (exchange- and Newton-type) computational algorithm for ...
WebJul 20, 2024 · Latin hypercube designs (LHDs), proposed by McKay et al. ( 1979 ), have been popularly used for computer experiments because of their uniform coverage of each … 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.
WebLatin Hypercube design was also prepared with The computed maxima for each model are given optimal spacing. The reason for choosing the Latin in Table 7 along with the temperatures at which Hypercube was that it can be implemented in a they occurred.
WebDec 2, 2024 · This work constructs a series of maximin Latin hypercube designs via Williams transformations of good lattice point designs that are optimal under the maximin L1-distance criterion, while others are asymptotically optimal. Maximin distance Latin hypercube designs are commonly used for computer experiments, but the construction of … ireland ubiWeb6 rows · Sep 16, 2024 · Latin hypercube designs (LHDs) [ 1] are widely used in computer experiments because of their ... ireland ucd and faoWebDownloadable! Sliced Latin hypercube designs (SLHDs) are widely used in computer experiments with both quantitative and qualitative factors and in batches. Optimal SLHDs achieve better space-filling property on the whole experimental region. However, most existing methods for constructing optimal SLHDs have restriction on the run sizes. In this … ireland ucd jobsWebThis function utilizes a version of the simulated annealing algorithm and several computational shortcuts to efficiently generate the optimal Latin Hypercube Designs … order number threeWebOct 19, 2024 · Abstract: As accuracy of optimization can not be guaranteed without high-quality samples, the distribution of a finite number of evaluation points where experiments should be conducted in design space is an important issue, particularly when the experiment to obtain sample is expensive. To utilize limited number of evaluation points to represent … ireland ucitsWebSep 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 … order number tracking numberWebLatin 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 ... ireland ufo