matlab中lhsdesign函数怎么用啊，

Question

如题所述

Answer 1

lhsdesign 函数是 MATLAB 中用于生成 Latin hypercube sample 的函数，语法如下：

matlab
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X = lhsdesign(n,p)
X = lhsdesign(n,p,'smooth')
X = lhsdesign(n,p,'criterion',criterion)
X = lhsdesign(n,p,'iterations',iterations)
X = lhsdesign(n,p,'criterion',criterion,'iterations',iterations)
其中，n 为生成样本的数量，p 为样本维度，即样本变量个数。lhsdesign 函数将生成一个大小为 n × p 的矩阵 X，每一行代表一个样本，每一列代表一个样本变量。

可以通过指定参数来对生成的样本进行调整，例如，可以通过 'smooth' 参数对样本进行平滑处理，通过 'criterion' 和 'iterations' 参数来控制样本生成过程中的优化策略和迭代次数。

以下是一个例子，生成一个 10 × 2 的样本矩阵：

matlab
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X = lhsdesign(10, 2)
这将生成一个大小为 10 × 2 的样本矩阵 X，可以通过命令窗口输出查看结果。

Answer 2

1、名称 lhsdesign ：Latin hypercube sample
2、句法 Syntax
X = lhsdesign(n,p)
X = lhsdesign(...,'smooth','off')
X = lhsdesign(...,'criterion',criterion)
X = lhsdesign(...,'iterations',k)

3、描述 Description
X = lhsdesign(n,p) returns
an n-by-p matrix, X,
containing a latin hypercube sample of n values
on each of p variables. For each column of X,
the n values are randomly distributed with one
from each interval (0,1/n), (1/n,2/n),
..., (1-1/n,1), and they are randomly permuted.
X = lhsdesign(...,'smooth','off') produces
points at the midpoints of the above intervals: 0.5/n, 1.5/n,
..., 1-0.5/n. The default is 'on'.
X = lhsdesign(...,'criterion',criterion) iteratively
generates latin hypercube samples to find the best one according to
the criterion criterion, which can be one
of the following strings.
其中：'none' （No iteration）； 'maximin'（Maximize minimum distance between points. This is the
default.） ； 'correlation'（Reduce correlation.）
例子：X = lhsdesign(...,'iterations',k) iterates
up to k times in an attempt to improve the design
according to the specified criterion. The default is k =
5.

Answer 3

其实动动手就可以知道的
下面是使用的方法。。。。。
你可以在commad窗口出入help lhsdesign 他会告诉你详细的用法的
或者直接点击上方的help 然后输入lhsdesign 也会有很多不同的用法
X = lhsdesign(n,p)
X = lhsdesign(...,'smooth','off')
X = lhsdesign(...,'criterion',criterion)
X = lhsdesign(...,'iterations',k)追问

可以告诉怎么弄吗具体，比如我想两组数据30-40 和100-200间进行抽样，抽20组，怎么办

追答

lhsdesign是 [0 1]间采样。你可以写成这样 形式

第一组
30+40*lhsdesign(n,p)

第二组
100+200*lhsdesign(n,p)

这样的形式
举个例子

x =30+40* lhsdesign(20,2);
subplot(2,2,1); plot(x(:,1), x(:,2), 'o');
subplot(2,2,2); hist(x(:,2));
subplot(2,2,3); hist(x(:,1));

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Answer 4

lhsdesign
Latin hypercube sample
Syntax
X = lhsdesign(n,p)
X = lhsdesign(...,'smooth','off')
X = lhsdesign(...,'criterion',criterion)
X = lhsdesign(...,'iterations',k)

Description
X = lhsdesign(n,p) returns an n-by-p matrix, X, containing a latin hypercube sample of n values on each of p variables. For each column of X, the n values are randomly distributed with one from each interval (0,1/n), (1/n,2/n), ..., (1-1/n,1), and they are randomly permuted.
X = lhsdesign(...,'smooth','off') produces points at the midpoints of the above intervals: 0.5/n, 1.5/n, ..., 1-0.5/n. The default is 'on'.
X = lhsdesign(...,'criterion',criterion) iteratively generates latin hypercube samples to find the best one according to the criterion criterion, which can be one of the following strings.

Criterion
Description

'none'

No iteration.

'maximin'

Maximize minimum distance between points. This is the default.

'correlation'

Reduce correlation.

X = lhsdesign(...,'iterations',k) iterates up to k times in an attempt to improve the design according to the specified criterion. The default is k = 5.