Vecorize NORMRND for a family of distributions
2 次查看(过去 30 天)
显示 更早的评论
Hey everyone!
So, I am looking for a way to speed up my code. I have a large vector of normal distributions (i.e. a vector of means and standard deviations) that I need to generate random numbers from. A generic example of my code looks like this:
tic
N=1e6;
mu = rand(N,1);
sigma = rand(N,1);
temp = zeros(length(mu),1);
for i = 1:length(mu)
temp(i) = normrnd(mu(i),sigma(i));
end
toc
This code in its current form has an elapsed time of:
Elapsed time is 12.281509 seconds.
I normally try to vectorize most of computationally intensive commands, but right now I am stumped as to how I can make this run faster. I will have to perform this operation multiple times every time that the code is run, so the faster I can make it the better.
Do any of you MATLAB geniuses out there have any thoughts of how to speed this up?
Thanks! John
0 个评论
采纳的回答
Ilya
2014-11-3
Replace
temp = zeros(length(mu),1);
for i = 1:length(mu)
temp(i) = normrnd(mu(i),sigma(i));
end
with
temp = normrnd(mu,sigma);
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Numeric Types 的更多信息
产品
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!