Problem with rng shuffle
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Hello everyone, I am running my simulation for like 50000 iterations but when i use
rng('shuffle')
during each iteration, the processing speed of my computer gets very slow. I want to understand that why this one line of code has so much effect on my computer ?
采纳的回答
Peter Perkins
2015-2-25
1 个投票
As Sean said, don't reset the random number generator in a loop. There's no good reason to do it. You are NOT making your random number "more random", and in fact, you are likely making them less random in very complicated ways. DON'T DO THIS. I can't say that strongly enough.
'shuffle' pauses for .01s each time you call it to ensure that it uses a new seed that's different than the last time you called it. That's why it's slowing down your code.
更多回答（2 个）
Sean de Wolski
2015-2-25
0 个投票
Why do you want to reset the stream on each iteration? This will be slow. The stream is random, so just set it once at the beginning of the run.
Chuck
2016-5-5
0 个投票
I have noticed this too. Even if you do not shuffle in every generation and shuffle it once, it will be slower than rng("default"). Of course, it might be unnoticeable depending on your code.
But... We do not know the nature of your iterations. If you are using parallelization (e.g. parfor), than you need to do rng("shuffle") right after the parfor definition line. Otherwise, after each individual for loop is done, it goes back go rng("default").
If your iterations are not using parallelization, then you should be fine by just adding that at the beginning of your code.
1 个评论
NEELU GUPTA
2019-2-24
Sir, How and why we use rng(shuffle), I am trying to calculate average of 2000 iterations using random number
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