Following is a typical recursive implementation of Merge Sort that uses last element as pivot.
Java
// Recursive Java Program for merge sort import java.util.Arrays; public class GFG { public static void mergeSort(int[] array) { if(array == null) { return; } if(array.length > 1) { int mid = array.length / 2; // Split left part int[] left = new int[mid]; for(int i = 0; i < mid; i++) { left[i] = array[i]; } // Split right part int[] right = new int[array.length - mid]; for(int i = mid; i < array.length; i++) { right[i - mid] = array[i]; } mergeSort(left); mergeSort(right); int i = 0; int j = 0; int k = 0; // Merge left and right arrays while(i < left.length && j < right.length) { if(left[i] < right[j]) { array[k] = left[i]; i++; } else { array[k] = right[j]; j++; } k++; } // Collect remaining elements while(i < left.length) { array[k] = left[i]; i++; k++; } while(j < right.length) { array[k] = right[j]; j++; k++; } } } // Driver program to test above functions. public static void main(String[] args) { int arr[] = {12, 11, 13, 5, 6, 7}; int i=0; System.out.println("Given array is"); for(i=0; i<arr.length; i++) System.out.print(arr[i]+" "); mergeSort(arr); System.out.println("\n"); System.out.println("Sorted array is"); for(i=0; i<arr.length; i++) System.out.print(arr[i]+" "); } } // Code Contributed by Mohit Gupta_OMG |
Time Complexity: O(n*log(n))
Auxiliary Space: O(n)
Please refer complete article on Iterative Merge Sort for more details!
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