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lhs-src-20090106-gpl.tar
- Linux Home Server 是专门为家庭和SOHO/SMB 设计的高性价比的ISCSI 存储服务器, 具有如下的特色： 强大的iscsi 存储服务器软件； 混合iscsi 和NAS 服务； Free, 基于Linux； LHS-200 的编译使用openwrt 框架，需要先下载并配置openwrt 开发环境 从openwrt 的开发站点 https://dev.openwrt.org, 下载最新的开发分枝,并下载到本地 svn co https://svn.ope
Lhs
- 过千年驱动保护,可以过掉游戏千年的保护过千年驱动保护,可以过掉游戏千年的保护-pass y1000 driver protect!
LHSMODELusingtheHSL01022
- 这是一篇关于LHS模型中彩色图像色调调整的简易算法二的文章，希望能够对大家有用。感觉还比较好的-This is a color image on the LHS model, a simple algorithm to adjust the second tone of the article, I hope that for all of us. Feeling better
lhs-prcc
- 提供多种函数来计算perform uncertainty and sensitivity analysis，并用散点图和柱状图来显示计算结果。-We implemented many scr ipts and functions to perform uncertainty and sensitivity analysis (for PRCC and eFAST) and display scatter plots (for sample-based methods only). The scr
generar_LHS_Choleskwewey
- Stochastic fields Generation. created by LHS. Correlation is based on Cholesky factorization
manish
- [mimi,i]=min(abs(imag(disp1)-imag(disp2))) legend( LHS of dispersion relation , RHS of dispersion equation ) xlabel( u,cl ) figure(1) clc uppercuts = input( Enter number of intersection points desired: ) [g,h] = ginput(uppercut
lhs-prcc
- sensitivity calculus
LHS
- 拉丁超立方抽样，调用方式如下：S=lhs(m,dist,mu,sigma,lowb,upb) m: a scalar,the number of sample points dist: A row with distribution type flags of basic random variables the value of the flag can be 1 (for uniform distribution, 2(for normal distribution), 3
lhs
- PEST Utilities to complement Latin Hypercube Sampling Software developed by Sandia National Laboratories -PEST Utilities to complement Latin Hypercube Sampling Software developed by Sandia National Laboratories
regress-351
- JS should evaluate RHS before binding LHS implicit variable.
regress-1102760
- JS should evaluate RHS before binding LHS implicit variable.
power-flow2
- 风电场的大规模接入使得电力系统在进行规划设计和 方式安排时需要计及风电出力的不确定性，概率潮流计算方 法是在计及不确定因素的条件下分析电力系统运行状态的 重要工具。针对当前所使用的概率潮流计算方法的不足，提 出一种可以处理多个输入随机变量相关性的基于拉丁超立 方采样(Latin hypercube sampling，LHS)的Monte Carlo 模拟 概率潮流计算方法，该方法同时还具有精度高和速度快等优 点，并且不受输入随机变量的概率分布类型的约束。-Access
LHS-methods
- 拉丁超立方法所有的程序，包括基本采样、相关采样等。-Latin Hypercube method for all programs, including basic sampling, sampling and other relevant.
zero
- LHS->zero(RHS). Looks for a length of zero-terminated array, but looks no further than first RHS bytes.
LHS
- 拉丁超立方抽样试验设计程序：输入多维变量样本和所需组数，输出基于拉丁超立方抽样方法的实验设计结果-LHS test design program:input the multidimensional variable samples and the number set, output the design of experiment results based on Latin hypercube sampling method
generar LHS_Cholesky
- 基于 Cholesky相关系数，数据随机产生的拉丁方抽样程序代码(Stochastic fields Generation. created by LHS. Correlation is based on Cholesky factorization)
lhs-prcc
- 采用lhs方法进行p r c c相关性系数的计算(To compute PRCC relative parameters with LHS method)
LHS-Kriging
- 正态分布、均匀分布拉丁超立方抽样，Kriging模型(LHS,Kriging,latin_hs,lhsu)
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