Given an array, write a program to generate a random permutation of array elements. This question is also asked as “shuffle a deck of cards” or “randomize a given array”. Here shuffle means that every permutation of array element should equally likely.

Let the given array be *arr[]*. A simple solution is to create an auxiliary array *temp[]* which is initially a copy of *arr[]*. Randomly select an element from *temp[]*, copy the randomly selected element to *arr[0]* and remove the selected element from *temp[]*. Repeat the same process n times and keep copying elements to* arr[1], arr[2], … .* The time complexity of this solution will be O(n^2).

Fisher–Yates shuffle Algorithm works in O(n) time complexity. The assumption here is, we are given a function rand() that generates random number in O(1) time.

The idea is to start from the last element, swap it with a randomly selected element from the whole array (including last). Now consider the array from 0 to n-2 (size reduced by 1), and repeat the process till we hit the first element.

Following is the detailed algorithm

To shuffle an array a of n elements (indices 0..n-1): for i from n - 1 downto 1 do j = random integer with 0 <= j <= i exchange a[j] and a[i]

Following is implementation of this algorithm.

## C

// C Program to shuffle a given array #include <stdio.h> #include <stdlib.h> #include <time.h> // A utility function to swap to integers void swap (int *a, int *b) { int temp = *a; *a = *b; *b = temp; } // A utility function to print an array void printArray (int arr[], int n) { for (int i = 0; i < n; i++) printf("%d ", arr[i]); printf("\n"); } // A function to generate a random permutation of arr[] void randomize ( int arr[], int n ) { // Use a different seed value so that we don't get same // result each time we run this program srand ( time(NULL) ); // Start from the last element and swap one by one. We don't // need to run for the first element that's why i > 0 for (int i = n-1; i > 0; i--) { // Pick a random index from 0 to i int j = rand() % (i+1); // Swap arr[i] with the element at random index swap(&arr[i], &arr[j]); } } // Driver program to test above function. int main() { int arr[] = {1, 2, 3, 4, 5, 6, 7, 8}; int n = sizeof(arr)/ sizeof(arr[0]); randomize (arr, n); printArray(arr, n); return 0; }

## Java

// Java Program to shuffle a given array import java.util.Random; import java.util.Arrays; public class ShuffleRand { // A Function to generate a random permutation of arr[] static void randomize( int arr[], int n) { // Creating a object for Random class Random r = new Random(); // Start from the last element and swap one by one. We don't // need to run for the first element that's why i > 0 for (int i = n-1; i > 0; i--) { // Pick a random index from 0 to i int j = r.nextInt(i); // Swap arr[i] with the element at random index int temp = arr[i]; arr[i] = arr[j]; arr[j] = temp; } // Prints the random array System.out.println(Arrays.toString(arr)); } // Driver Program to test above function public static void main(String[] args) { int[] arr = {1, 2, 3, 4, 5, 6, 7, 8}; int n = arr.length; randomize (arr, n); } } // This code is contributed by Sumit Ghosh

## Python

# Python Program to shuffle a given array import random # A function to generate a random permutation of arr[] def randomize (arr, n): # Start from the last element and swap one by one. We don't # need to run for the first element that's why i > 0 for i in range(n-1,0,-1): # Pick a random index from 0 to i j = random.randint(0,i) # Swap arr[i] with the element at random index arr[i],arr[j] = arr[j],arr[i] return arr # Driver program to test above function. arr = [1, 2, 3, 4, 5, 6, 7, 8] n = len(arr) print(randomize(arr, n)) # This code is contributed by Pratik Chhajer

## C#

// C# Code for Number of digits // in the product of two numbers using System; class GFG { // A Function to generate a // random permutation of arr[] static void randomize(int []arr, int n) { // Creating a object // for Random class Random r = new Random(); // Start from the last element and // swap one by one. We don't need to // run for the first element // that's why i > 0 for (int i = n - 1; i > 0; i--) { // Pick a random index // from 0 to i int j = r.Next(0, i); // Swap arr[i] with the // element at random index int temp = arr[i]; arr[i] = arr[j]; arr[j] = temp; } // Prints the random array for (int i = 0; i < n; i++) Console.Write(arr[i] + " "); } // Driver Code static void Main() { int[] arr = {1, 2, 3, 4, 5, 6, 7, 8}; int n = arr.Length; randomize (arr, n); } } // This code is contributed by Sam007

## PHP

<?php // PHP Program to shuffle // a given array // A function to generate // a random permutation of arr[] function randomize ($arr, $n) { // Start from the last element // and swap one by one. We // don't need to run for the // first element that's why i > 0 for($i = $n - 1; $i >= 0; $i--) { // Pick a random index // from 0 to i $j = rand(0, $i); // Swap arr[i] with the // element at random index $tmp = $arr[$i]; $arr[$i] = $arr[$j]; $arr[$j] = $tmp; } for($i = 0; $i < $n; $i++) echo $arr[$i]." "; } // Driver Code $arr = array(1, 2, 3, 4, 5, 6, 7, 8); $n = count($arr); randomize($arr, $n); // This code is contributed by mits ?>

**Output :**

7 8 4 6 3 1 2 5

The above function assumes that rand() generates a random number.

**Time Complexity:** O(n), assuming that the function rand() takes O(1) time.

**How does this work?**

The probability that ith element (including the last one) goes to last position is 1/n, because we randomly pick an element in first iteration.

The probability that ith element goes to second last position can be proved to be 1/n by dividing it in two cases.

*Case 1: i = n-1 (index of last element)*:

The probability of last element going to second last position is = (probability that last element doesn’t stay at its original position) x (probability that the index picked in previous step is picked again so that the last element is swapped)

So the probability = ((n-1)/n) x (1/(n-1)) = 1/n

*Case 2: 0 < i < n-1 (index of non-last)*:

The probability of ith element going to second position = (probability that ith element is not picked in previous iteration) x (probability that ith element is picked in this iteration)

So the probability = ((n-1)/n) x (1/(n-1)) = 1/n

We can easily generalize above proof for any other position.

Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.

**Practice Tags :**