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。1. 使用pyDOE...
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。
蒙特卡洛模拟是一种解决不确定性问题的方法，通过大量重复实验得到最终结果的概率分布，进而解决问题。例如，计算抛掷硬币出现正面的概率，通过大量实验，结果会趋向于真实概率。蒙特卡洛模拟适用于解决带有随机性或复杂性的问题，随着计算机性能的提高，这种“笨办法”通过计算机仿真模拟实现，为工程等领域提供了解...
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正...
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)...
1.Aiming at inefficiency of direct Monte Carlo method,viscoelastic finite element method was determined and Latin hypercube sampling(LHS) technique was used for random sampling so as to improve convergent velocity of calculation.针对直接Monte Carlo法效率较低的问题,在确定粘弹性有限元的基础上,采用拉丁超...
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)...
To tackle these issues, we introduce a Latin hypercube sampling initialization-based multi-strategy enhanced WOA (CAGWOA). It incorporates a COS sampling initialization strategy (COSI), an adaptive global search approach (GS), and an all-dimensional neighborhood mechanism (ADN). COSI leverages ...
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) and updated Latin hypercube sampling (ULHS) by statistical correlation reducing equation are employed to analyze structural reliability sensitivity and its variance. Numerical and engineering examples with single failure mode and with multiple failure modes are used to demonst...