【发布时间】:2018-11-23 09:24:05
【问题描述】:
假设,我想(凭经验)证明 matlab 中的 randperm(n,k) 确实从 n 个元素的集合 N 中产生大小为 k 的均匀分布的随机样本。重复绘制后,如何绘制出现次数除以从 N 绘制的 k 子集的总数?
【问题讨论】:
标签: matlab probability combinatorics
假设,我想(凭经验)证明 matlab 中的 randperm(n,k) 确实从 n 个元素的集合 N 中产生大小为 k 的均匀分布的随机样本。重复绘制后,如何绘制出现次数除以从 N 绘制的 k 子集的总数?
【问题讨论】:
标签: matlab probability combinatorics
您可以简单地使用从randperm 提取的索引来增加计数器向量。
n=1e5;
k=1e4;
maxiter = 1e5;
% This array will be used to count the number of times each integer has been drawn
count=zeros(n,1);
for ii=1:maxiter
p=randperm(n,k);
% p is a vector of k distinct integers in the 1:n range
% the array count will be incremented at indices given by p
count(p)=count(p)+1;
end
% A total of k*maxiter integers has been drawn and they should be evenly
% distributed over n values
% The following vector should have values close to 1 for large values of maxiter
prob = count*n/(k*maxiter);
【讨论】: