site stats

Optimal sliced latin hypercube designs

WebSliced Latin hypercube designs (SLHDs) have important applications in designing computer experiments with continuous and categorical factors. However, a randomly generated … 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 - JSTOR

WebAug 1, 2024 · As mentioned from the original paper, the first stage plays a much more important role since it optimizes the slice level. More resources should be given to the first stage if computational budgets are limited. Let m=n/t, where m is the number of rows for each slice, if (m)^k >> n, the second stage becomes optional. 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. dfw shows https://thinklh.com

Modified Algorithms for Fast Construction of Optimal Latin-Hypercube Design

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 … WebWe 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. chyna boxing match

Optimal-Sliced-Latin-Hypercube-Designs/SLHD.h at …

Category:Sliced Latin hypercube designs with arbitrary run sizes

Tags:Optimal sliced latin hypercube designs

Optimal sliced latin hypercube designs

Sliced Latin hypercube designs with arbitrary run sizes

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 7, 2024 · Sliced Latin hypercube designs with arbitrary run sizes. Latin hypercube designs achieve optimal univariate stratifications and are useful for computer …

Optimal sliced latin hypercube designs

Did you know?

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. WebSLHD: Maximin-Distance (Sliced) Latin Hypercube Designs Generate the optimal Latin Hypercube Designs (LHDs) for computer experiments with quantitative factors and the …

WebOptimal Sliced Latin Hypercube Designs Shan Ba, William R. Myers, and William A. Brenneman The Procter and Gamble Company, Mason, OH 45040 ([email protected]; … 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 …

WebMay 7, 2024 · Sliced Latin hypercube designs are Latin hypercube designs that can be partitioned into smaller Latin hypercube designs. In this work, we give, to the best of our … WebIn 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 …

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.

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 … chyna cteWebNov 1, 1978 · The existence conditions and the form of the optimal design are given. ... including orthogonal Latin hypercube designs, nested orthogonal arrays, sliced … dfw shredding companyWebDownloadable! 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 … dfw shuttersWebOct 2, 2015 · For a large design space optimization, the initial selection of design candidates plays a key role. Ideally, they should span the design space as much as possible, for … chyna black rapperWebIn 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 combined to generate a random Latin Hypercube as the initial DOE design matrix with n n points (each level of a factor studies only once). chynacut solingenWebThis function utilizes a version of the simulated annealing algorithm and several computational shortcuts to efficiently generate the optimal Latin Hypercube Designs … chyna boyfriendsWebAug 6, 2024 · Abstract: Sliced Latin hypercube designs (SLHDs) are widely used in computer experiments with both quantitative and qualitative factors and in batches. … dfw shredding saturday shredding