Location:
Search - LHS
Search list
Description: 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.openwrt.org/openwrt/trunk/
为方便起见，建议下载所有的可选包，后面要用到
svn co https://svn.openwrt.org/openwrt/packages/
从公司网站 http://www.linuxce.cn 或者 http://www.linuxce.net 下载 LHS-200 的最新源代码并解压缩,源代码中包含两个目录和一个README文件，按README文件的要求，拷贝下列包到trunk/package 目录
libs/libiconv
net/samba3
utils/pciutils
net/wget
net/ctorrent
libs/uclibc++
然后从解压缩的源代码中分别拷贝目录modified 和lhstoolfix中的内容到trunk 目录
至此，就可以象通常的openwrt 项目一样进行编译, Target System 选 "RDC 321x", Target Profile 选 "R3210 based linux home server board"-err
Platform: |
Size: 1799168 |
Author: 聂映平 |
Hits:
Description: 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!
Platform: |
Size: 61440 |
Author: isisii |
Hits:
Description:
Platform: |
Size: 81920 |
Author: clumpy |
Hits:
Description: 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
Platform: |
Size: 35840 |
Author: 李英 |
Hits:
Description: 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 scripts and functions to perform uncertainty and sensitivity analysis (for PRCC and eFAST) and display scatter plots (for sample-based methods only). The scripts are written in Matlab7.1. The Statistical Toolbox is required to run them. The HIV ODE model is used as a template to illustrate the functions.
Platform: |
Size: 144384 |
Author: Jing Wu |
Hits:
Description: Stochastic fields Generation. created by LHS. Correlation is based on Cholesky factorization
Platform: |
Size: 2048 |
Author: samiio |
Hits:
Description: [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(uppercuts)
w = sqrt(V.^2-u.^2)
s = sprintf( Constants: \n )
disp(s)
for p = 1:uppercuts
s = sprintf( u( d d) = 0.10f ,L-1,p,u(p))
disp(s)
s = sprintf( w( d d) = 0.10f\n ,L-1,p,w(p))
disp(s) -[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(uppercuts)
w = sqrt(V.^2-u.^2)
s = sprintf( Constants: \n )
disp(s)
for p = 1:uppercuts
s = sprintf( u( d d) = 0.10f ,L-1,p,u(p))
disp(s)
s = sprintf( w( d d) = 0.10f\n ,L-1,p,w(p))
disp(s)
Platform: |
Size: 1024 |
Author: manish |
Hits:
Description: sensitivity calculus
Platform: |
Size: 7168 |
Author: wal |
Hits:
Description: 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(for lognormal)
and 4(for extreme type 1).
mu: A row vector comprising the mean value of basic random variables.
sigma: A row vector with its length equaligng to mu,including the standard
deviation of basic random variables.
lowb: a row vector with its elements are the lower bound of the sampling
interval
upb:a row vector with its elements are the upper bounds of the sampling
interval
dist,mu,sigma,lowb,upb must have the same length.
Output argument
S: sampling point matrix, of which each row is a sampling point.-code of Latin Hypercube Sampling
Platform: |
Size: 1024 |
Author: 邓志平 |
Hits:
Description: 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
Platform: |
Size: 1681408 |
Author: 少尉 |
Hits:
Description: JS should evaluate RHS before binding LHS implicit variable.
Platform: |
Size: 1024 |
Author: yersinou |
Hits:
Description: JS should evaluate RHS before binding LHS implicit variable.
Platform: |
Size: 5120 |
Author: lkjhg2xy |
Hits:
Description: 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 makes large-scale wind farms during the planning and design of the power system and the need for taking into account the uncertainty of wind power output mode set when the probability is calculated by analyzing the trend of the power system running under conditions of uncertainty into account an important tool . For less than the probability of load flow calculation methods currently used, proposed a way to deal with multiple input random variables based on the correlation Latin Hypercube Sampling (Latin hypercube sampling, LHS) Monte Carlo simulation to calculate the probability of the trend, the method also with high accuracy and speed, etc., and the probability distribution of the random variable is not the type of input constraints.
Platform: |
Size: 783360 |
Author: mzx |
Hits:
Description: 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.
Platform: |
Size: 61440 |
Author: LJ |
Hits:
Description: LHS->zero(RHS). Looks for a length of zero-terminated array, but looks no further than first RHS bytes.
Platform: |
Size: 1024 |
Author: hieyivp |
Hits:
Description: 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
Platform: |
Size: 1024 |
Author: 郭相坤 |
Hits:
Description: 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)
Platform: |
Size: 2048 |
Author: huangyuanjun1
|
Hits:
Description: 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)
Platform: |
Size: 86016 |
Author: xinqing_7777
|
Hits:
Description: 正态分布、均匀分布拉丁超立方抽样，Kriging模型(LHS,Kriging,latin_hs,lhsu)
Platform: |
Size: 1547264 |
Author: 黄国 |
Hits:
Description: 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 technology and is commonly used in computer experiments or Monte Carlo integration.)
Platform: |
Size: 62464 |
Author: qiuxl |
Hits: