搜索资源列表
GAmean_distance
- This function is used to determine the mean distance for uniform sampling over a hypercube. Used for comparing the quality of initial conditions with other algorithms that use only one iterative solution (i.e., can use mean distance here
proj04-01
- 本实验目的是了解非参数估计—Parzen窗估计，对表格3中的数据进行Parzen窗估计和设计分类器.Parzen窗方法：假设区间Rn是一个d维的超立方体，hn表示超立方体的边长，体积为Vn=hnd。-Purpose of this study is to understand the non-parametric estimation-Parzen window estimate of the data in Table 3 Parzen window estimate and design c
Cholesky
- 具有相关性的风速序列的拉丁超立方采样方法的例子，包含Cholesky以及排序-Examples of correlation between wind speed sequence of Latin hypercube sampling method, including Cholesky and sorting
audze_*l
- A code to generate 3D sample points for Design of Experiment (DoE). The points are generated using optimal Audze-Eglais Latin hypercube. Audze and Eglais presented a uniformed scheme by establishing an analogy between design points and set of mass
Latin-Hypercube-Sampling
- 此源码会产生一个平方空间上随机的领域。样品创建拉丁超立方抽样和空间相关性是基于Cholesky分解算法-This source will generate a random field on a square space. Samples to create a Latin Hypercube Sampling and spatial correlation is based on the Cholesky decomposition algorithm
MATLABCLMCS
- 用拉丁超立方采样方法模拟具有相关性的数组代码-Latin Hypercube Sampling Method cubic correlated array simulation code
WT_PV_Load_Scenario
- 针对电力系统中风电和光伏出力以及负荷不确定性问题，该程序通过拉丁超立方抽样和样本削减将其转化为场景分析问题。-For stroke power and photovoltaic power system output and load uncertainty, the program by Latin Hypercube Sampling and sample reduction to convert it into a scene analysis of the problem.
71269
- It is Latin hypercube sampling code.
Latin-Hypercube-sample
- 拉丁超立方采样方法是一种科学的试验设计方法，其采样点具有分布均匀，具有代表性等特点。-Latin hypercube sampling method is a scientific method of experimental design, Its sampling points are distribution, representative and so on.
lhsdesign_modified
- 拉丁超立方试验设计方法，根据等概率随机正交分布的原则，可以合理在变量范围里选取试验样本点。对于设计变量较多的大型空间的采样，工程中常使用拉丁超立方试验设计方法.-Latin Hypercube experimental design methods, in accordance with the principle of equal probability distribution of random orthogonal, it is reasonable to the range of v
Latin-hypercube-sampling
- 拉丁超立方体抽样，是一种初始化常用的方法，使得种群初始化更均匀-Latin hypercube sampling is a common method of initialization, which makes the population initialization more uniform
lhsdesign_modified
- 改进拉丁超立方计算机实验，主要用于制造计算机实验所需要的实验方案-Latin hypercube
HCS_LHS
- Matlab 蒙特卡洛和拉丁超立方采样比较(Comparison of Matlab Monte Carlo and Latin hypercube sampling matlab)
Latin Hypercube Sampling
- 这是从多元正态分布、均匀分布和经验分布中实现拉丁超立方体采样的采样实用程序。变量之间的相关性可以被描述出来。(This is sampling utility implementing Latin hypercube sampling from multivariate normal, uniform & empirical distribution. Correlation among variables can be sprecified)
拉丁超立方代码
- 拉丁超立方采样包括还有约束和没有约束的两种。(Latin hypercube sampling includes both constrained and unconstrained sampling.)
lhsdesign
- 生成n维变量的拉丁超立方样本点，直接导出样本点。(Generate the sample points of n-dimensional input vectors.)
拉丁超立方抽样
- 拉丁超立方，去抽取样本，是一种从多元参数分布中近似随机抽样的方法，属于分层抽样技术，常用于计算机实验或蒙特卡洛积分等。(Latin hypercube sampling)
SRGTSToolbox
- SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能： 实验设计：中心复合设计，全因子设计，拉丁超立方体设计，D-optimal和maxmin设计。 代理：克里金法，多项式响应面，径向基神经网络和支持向量回归。 错误和交叉验证的分析：留一法和k折交叉验证，以及经典的错误分析（确定系数，标准误差;均方根误差等;）。 基于代理的优化：高效的全局优化（EGO）算法。 其他能力：通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox
e702633d
- 拉丁超立方抽样（英语：Latin hypercube sampling，缩写LHS）是一种从多元参数分布中近似随机抽样的方法，属于分层抽样技术，常用于计算机实验或蒙特卡洛积分等。(Latin hypercube sampling (abbreviated LHS) is an approximate random sampling method from multivariate parameter distribution. It belongs to stratified sampling