Group symmetric latin hypercube designs
WebSymmetric groups capture the history of abstract algebra, provide a wide range of examples in group theory, are useful when writing software to study abstract algebra, … Latin hypercube sampling (LHS) is a statistical method for generating a near-random sample of parameter values from a multidimensional distribution. The sampling method is often used to construct computer experiments or for Monte Carlo integration. LHS was described by Michael McKay of Los Alamos National Laboratory in 1979. An independently equivalent technique was proposed by Vilnis Eglājs in 1977. It was further elabora…
Group symmetric latin hypercube designs
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WebMar 1, 2024 · The computation of SGSI is a challenging task because the model to compute is black-box and expensive. An experimental design, called a group symmetric Latin hypercube design (GSLHD) is proposed for SGSA. It achieves maximum uniformity in univariate margins and maintains a symmetrical structure that ensures the estimability of … WebNov 24, 2009 · Abstract. Latin hypercube designs have found wide application. Such designs guarantee uniform samples for the marginal distribution of each input variable. We propose a method for constructing ...
WebOct 1, 2024 · Compared with an ordinary sliced Latin Hypercube, the proposed design has the following advantages: (i) the group symmetry of models can be detected by the first slice of the design, which leads ... WebLatin hypercube designs (LHDs) have found wide application in computer experiments. It is known that orthogonal LHDs guarantee the orthogonality between all linear effects, and symmetric LHDs ...
Webapplying equation (1) to several random ‘midpoint’ latin hypercube designs (see Park (1994) for a description of midpoint designs). The domain in m dimensions is taken to be [0,1]m. The fact that random orthogonal-array-based latin hypercube designs are not as good at space filling as well-chosen latin hypercube designs (c.f. Figs 4(a), 5(a) WebWe propose a new class of Latin hypercube design -- the symmetric Latin hypercube design. The goal is to offer a compromise between the computing efforts and the design …
WebAn experimental design, called a group symmetric Latin hypercube design (GSLHD) is proposed for SGSA. It achieves maximum uniformity in univariate margins and maintains …
http://web.stat.nankai.edu.cn/mqliu/publications/2024-WangSunLinLiu-SS.pdf flights from new york to punta gordaWebJun 11, 2003 · The improved ARSM is tested using a group of standard test problems and then applied to an engineering design problem. In both testing and design application, significant improvement in the efficiency of ARSM is realized. ... Algorithmic Construction of Optimal Symmetric Latin Hypercube Designs,” J. Stat. Plan. Infer., 90, pp. ... cherokee nation job corpsWebMar 1, 2024 · The computation of SGSI is a challenging task because the model to compute is black-box and expensive. An experimental design, called a group symmetric Latin hypercube design (GSLHD) is proposed for SGSA. It achieves maximum uniformity in univariate margins and maintains a symmetrical structure that ensures the estimability of … flights from new york to positanoWebJun 23, 2024 · A novel sampling plan, called symmetrical design, is proposed for SGSA that offers the virtue of run-size economy due to its closure respective to the given group and gives estimation methods of SGSI as well as their asymptotic properties respectively for numerical model and non-parametrical model directly by the model outputs. ABSTRACT … flights from new york to pspWebOct 1, 2024 · An example is given based on a demonstration model of eight inputs and one output, in which predictions based on a maximin design, a Latin hypercube design, and two compromise'' designs are ... cherokee nation intrawebWeborthogonal-array-based latin hypercube designs. To do this, the referenced algo-rithms must be modified. This section gives details of the necessary modifications. Let us … cherokee nation jobs casinoWebJan 1, 2024 · The computation of SGSI is a challenging task because the model to compute is black-box and expensive. An experimental design, called a group symmetric Latin hypercube design (GSLHD) is proposed for SGSA. It achieves maximum uniformity in univariate margins and maintains a symmetrical structure that ensures the estimability of … flights from new york to reno nevada