Reversal algorithm for array rotation

Hello Everyone,

Question: Write a function rotate(arr[], d, n) that rotates arr[] of size n by d elements.

Example :

Input : arr[] = [1, 2, 3, 4, 5, 6, 7]
d = 2
Output : arr[] = [3, 4, 5, 6, 7, 1, 2]

The first 3 methods to rotate an array by d elements has been discussed in this, ( Program for array rotation ) post.

Method 4 (The Reversal Algorithm) :
Algorithm :

rotate(arr[], d, n) reverse(arr[], 1, d) ; reverse(arr[], d + 1, n); reverse(arr[], 1, n);

Let AB are the two parts of the input array where A = arr[0…d-1] and B = arr[d…n-1]. The idea of the algorithm is :

  • Reverse A to get ArB, where Ar is reverse of A.
  • Reverse B to get ArBr, where Br is reverse of B.
  • Reverse all to get (ArBr) r = BA.

Example :
Let the array be arr[] = [1, 2, 3, 4, 5, 6, 7], d =2 and n = 7
A = [1, 2] and B = [3, 4, 5, 6, 7]

  • Reverse A, we get ArB = [2, 1, 3, 4, 5, 6, 7]
  • Reverse B, we get ArBr = [2, 1, 7, 6, 5, 4, 3]
  • Reverse all, we get (ArBr)r = [3, 4, 5, 6, 7, 1, 2]

Below is the implementation of the above approach :

  • C++

// C++ program for reversal algorithm

// of array rotation

#include <bits/stdc++.h>

using namespace std;

/*Function to reverse arr[] from index start to end*/

void reverseArray( int arr[], int start, int end)

{

while (start < end) {

int temp = arr[start];

arr[start] = arr[end];

arr[end] = temp;

start++;

end--;

}

}

/* Function to left rotate arr[] of size n by d */

void leftRotate( int arr[], int d, int n)

{

if (d == 0)

return ;

// in case the rotating factor is

// greater than array length

d = d % n;

reverseArray(arr, 0, d - 1);

reverseArray(arr, d, n - 1);

reverseArray(arr, 0, n - 1);

}

// Function to print an array

void printArray( int arr[], int size)

{

for ( int i = 0; i < size; i++)

cout << arr[i] << " " ;

}

/* Driver program to test above functions */

int main()

{

int arr[] = { 1, 2, 3, 4, 5, 6, 7 };

int n = sizeof (arr) / sizeof (arr[0]);

int d = 2;

// Function calling

leftRotate(arr, d, n);

printArray(arr, n);

return 0;

}

Output :

3 4 5 6 7 1 2

Time Complexity : O(n)

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