Optimal sliced latin hypercube designs
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 …
Optimal sliced latin hypercube designs
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WebNov 1, 1978 · The existence conditions and the form of the optimal design are given. ... including orthogonal Latin hypercube designs, nested orthogonal arrays, sliced … 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 …
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 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...
WebThis function utilizes a version of the simulated annealing algorithm and several computational shortcuts to efficiently generate the optimal Latin Hypercube Designs … 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,andWilliamA.BRENNEMAN The Procter and Gamble Company, Mason, OH 45040 …
WebJul 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. inborn errors of metabolism databaseWeb2 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 … incident in wales todayWebMay 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 … inborn errors of metabolism screeningWebOptimal-Sliced-Latin-Hypercube-Designs/design.cpp at master · DougZheng/Optimal-Sliced-Latin-Hypercube-Designs · GitHub DougZheng / Optimal-Sliced-Latin-Hypercube … incident in wallington todayWebIn 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). inborn errors of metabolism seizuresWebDownloadable! 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 … inborn errors of metabolism uptodateWebWe 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. incident in waco texas