拉丁超立方采样(Latin Hypercube Sampling, LHS)是一种统计采样技术,用于生成一组样本点,这些样本点在参数空间中均匀分布,并且满足每个维度只有一个样本点落在该维度的取值范围内。LHS常用于参数优化和模型验证等领域。在Python中,有几种常用的包可以进行拉丁超立方采样,下面介绍两种常用的方法。1. 使用pyDOE2包pyDOE2...
Latin Hypercube Sampling.. 拉丁超立方体抽样 --- (1979))在 “Technometrics” 提出了“拉丁超立方体抽样” (Latin Hypercube Sampling) (简称LHS) 的方法，并立即得到广泛的应用，一批学者对其理论和方法作了系统地研究和发展，形成了一个独立的分枝。
Latin Hypercube Sampling (LHS) results for four regions: Guangzhou, Rio, Delhi and New York.Harriet L. MillsSteven Riley
In addition to providing a cost-effective and reliable sampling scheme, the Latin hypercube sampling technique also provides the user with the flexibility efficiently to study effects of distributional assumptions on key input variables without rerunning the computer model. 5 figures, 2 tables. 展开 ...
拉丁超立方采样是一种特殊的采样方法，用于改进蒙特卡洛模拟中的随机抽样。它通过将样本空间分层，然后在每层内随机抽样，最后将样本打乱顺序，得到结果。相比于随机抽样，拉丁超立方采样在复杂分布场景下的效率更高，能够更均匀地覆盖样本空间，尤其是在正态分布等复杂分布的情况下。拉丁超立方采样的主要优点...
rr-packagelhslatin-hypercubeorthogonal-arrayslatin-hypercube-samplinglatin-hypercube-sample UpdatedJun 30, 2024 C++ tstran155/Optimization-of-building-energy-consumption Star23 This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate...
拉丁超立方体抽样Latin hypercube sampling (LHS)附 °拉丁超立方体抽样Latinhypercubesampling(LHS... 拉丁超立方体抽样Latinhypercubesampling(LHS)附:Matlab程序 近日,突然要在matlab上使用LHS,在网上搜索内容后,发现材料比较类似,于是依照下面内容写了个matlab程序。 拉丁超立方体抽样是抽样技术的最新...
Latin hypercube sampling (LHS) uses a stratified sampling scheme to improve on the coverage of the k-dimensional input space for such computer models. This means that a single sample will provide useful information when some input variable(s) dominate certain responses (or certain time intervals)...
糑H*2]In this paper a small-size sampling scheme——Latin Hypercube Sampling is introduced and its application to structural reliability analysis,among other seismic reliability analysis of nonlinear structures is described through examples. 关键词: Stochastic sampling Reliability Earthquake 被引量: 16...
Latin hypercube sampling is first compared with a common sampling procedure (simple random sampling) in LU decomposition simulation. Then it is applied to the investigation of uncertainty in the simulation results of a spatially explicit forest model, LANDIS. Results showed that Latin hypercube ...