Optimal sliced latin hypercube designs
WebSuch a design is a special orthogonal Latin hypercube design, of first-order or second-order, that can be divided into slices of smaller orthogonal Latin hypercube designs of the same order. This type of design is useful for computer experiments with qualitative and quantitative factors, multiple experiments, data pooling, and cross-validation. 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.
Optimal sliced latin hypercube designs
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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 ... WebMany space-filling designs are Latin hypercube designs, which achieve optimal one-dimensional projective uniformity (McKay et al., 1979). Maximin distance Latin hypercube designs (Morris and Mitchell, 1995), which are generated by numeri-cally maximizing the separation distance within the class of Latin hypercube design, are popular
WebThis function utilizes a version of the simulated annealing algorithm and several computational shortcuts to efficiently generate the optimal Latin Hypercube Designs … 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 …
WebSliced Latin hypercube designs (SLHDs) have important applications in designing computer experiments with continuous and categorical factors. However, a randomly generated … WebAug 6, 2024 · Abstract: Sliced Latin hypercube designs (SLHDs) are widely used in computer experiments with both quantitative and qualitative factors and in batches. …
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 … improving taste budsWebAug 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 property on the whole experimental region. However, most existing methods for constructing optimal SLHDs have restriction on the run sizes. In this … improving swipe keyboard androidWebJul 18, 2024 · Sliced Latin hypercube designs (SLHDs), proposed by Qian ( 2012 ), are widely used in computer experiments with qualitative and quantitative factors, model calibration, cross validation, multiple experiments, stochastic optimization and data pooling. lithium battery under bonnetWebJul 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 … lithium battery trimmer edgerWebMay 7, 2024 · Sliced Latin hypercube designs with arbitrary run sizes. Latin hypercube designs achieve optimal univariate stratifications and are useful for computer … improving taste after covidWebWe 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 … improving taurus headlightsWebDownloadable! 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 … lithium battery trickle charger