立即体验 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。
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)...
by Latin Hypercube Sampling, the optimal solutions found by IPOPT in each subspace are added to the sampling set. LHS is performed with the pyDOE (v0.3.8) package in python and R(R Core Team, 2016) package ‘lhs’(Carnell, 2016) via Python-R interface ‘RPy2’ (v2.8.5) in python....
拉丁超立方体抽样Latin hypercube sampling说明[转] LifeBug:03.随机变量和3F(PDF、CDF、PMF)
Does anyone know if there is a function for Latin Hypercube Sampling (LHS) for a triangular distribution? So far, I have found uniform, normal, and empirical distributions only. Thank you! 댓글 수: 0 댓글을 달려면 로그인하십시오. 이 질문에 답변하...
Simple implementation of Latin Hypercube Sampling. numpydesign-of-experimentslatin-hypercube-samplingspace-filling-designs UpdatedApr 18, 2023 Python ChemDesign: DWSIM Experiment Toolkit extensiontoolkitdesign-of-experimentsdoelatin-hypercube-samplingdwsim ...
探索未知的科学殿堂，拉丁超立方采样（Latin Hypercube Sampling, LHS）与蒙特卡洛模拟如同夜空中的璀璨星辰，照亮了处理不确定性问题的迷雾。蒙特卡洛，这个名字本身就蕴含着一种随机的魔力，它通过海量的模拟实验，为我们揭示概率世界的奥秘，哪怕是看似简单的抛硬币游戏，也能借此估算出五次投掷中出现一次...
I'm trying to run an analysis, in which my variables are sampled with the latin hypercube function lhdesign. I'd like to stop my simulation when a stopping criteria is satisfied, therefore I'd like also to sample only the necessary points instead of preparing all the combinations before. ...
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...
(2019) Gan, Valdez. Metamodeling for Variable Annuities. This is sampling utility implementing Latin hypercube sampling from multivariate normal, uniform & empirical distribution. Correlation among variables can be sprecified.