A random permutation is a random ordering of a set of objects, that is, a permutation-valued random variable. The use of random permutations is often fundamental to fields that use randomized algorithms such as coding theory, cryptography, and simulation.
numpy.random. permutation (x) Randomly permute a sequence, or return a permuted range. If x is a multi-dimensional array, it is only shuffled along its first index.
Page 1. Producing a Uniform Random Permutation. Def: A uniform random permutation is one in which each of the n! possible permutations are equally likely.
With the help of numpy. random. permutation() method, we can get the random samples of sequence of permutation and return sequence by using this method. Return : Return the random sequence of permuted values.
I would like to genrate a random permutation as fast as possible. The problem: The knuth shuffle which is O(n) involves generating n random numbers. Since generating random numbers is quite expensive. I would like to find an O(n) function involving a fixed O(1) amount of random numbers.
I realize that this question has been asked before, but I did not see any relevant answers.
Just to stress a point: I am not looking for anything less than O(n), just an algorithm involving less generation of random numbers.
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