Such a design is a special Latin hypercube that can be partitioned into slices of smaller Latin hypercubes, with some slices being also symmetrical designs. Compared with an ordinary sliced Latin Hypercube, the proposed design has the following advantages: (i) the group symmetry of models can ...
A randomly generated Latin hypercube design (LHD) can be quite structured: the variables may be highly correlated or the design may not have good space-,lling prop-erties.There are procedures to,nd good LHDs by minimizing the pairwise correlations or maximizing the inter-site distances. In ...
Example:X = lhsdesign(n,p,'Smooth','off')returns a discrete Latin hypercube design Smooth—Indication for continuous samples 'on'(default) |'off' Indication for continuous samples, specified as the comma-separated pair consisting of'Smooth'and'on'(continuous samples) or'off'(discrete samples)....
Optimal Experiment Design, Latin HypercubeLatin hypercube sampling Latin hypercube design is a way to generate design points that can spread observations evenly over the range of each input variable. For a Latin hypercube design of size n,...doi:10.1007/978-1-4419-9863-7_1233Ying Hung...
4.6.2 Latin hypercube sampling Latin hypercube (LH) sampling, first introduced in [110], aims at selecting the sample set {ξ(i)}i=1N such that these points cover all portions of the design space Ω. LH sampling attempts to reduce the variance of standard MC estimators by selecting N sam...
This design is a special type of Latin hypercube design that can be partitioned into smaller slices of Latin hypercube designs, where both the whole design and each slice are optimal under the maximin criterion. To construct these designs, a two-step construction method for generating sliced ...
A CONSTRUCTION METHOD FOR ORTHOGONAL LATIN HYPERCUBE DESIGNS WITH PRIME POWER LEVELS 热度: Orthogonal-Maximin Latin Hypercube Designs:正交拉丁超立方体设计的极大极小 热度: Latin Hypercube Sampling Monte Carlo Estimation of… 热度: 相关推荐 ConstructionoforthogonalLatinhypercubedesignswith flexiblerun...
Latin hypercube designs (LHDs) have broad applications in constructing computer experiments and sampling for Monte-Carlo integration due to its nice property of having projections evenly distributed on the univariate distribution of each input variable. The LHDs have been combined with some commonly use...
Ray-Bing Chen, Dai-Ni Hsieh, Ying Hung& Weichung Wang 1227Accesses Explore all metrics Abstract Latin hypercube designs (LHDs) are widely used in many applications. As the number of design points or factors becomes large, the total number of LHDs grows exponentially. The large number of fea...
Latin hypercube designs is a class of experimental designs that is important when computer simulations are needed to study a physical process. In this paper, we proposed some general criteria for evaluating Latin hypercube designs through their alias matrices. Moreover, a general method is proposed ...