There are 2 sorted arrays A and B of size n each. Write an algorithm to find the median of the array obtained after merging the above 2 arrays(i.e. array of length 2n). The complexity should be O(log(n)).

**Note : **Since size of the set for which we are looking for median is even (2n), we need take average of middle two numbers and return floor of the average.

**Method 1 (Simply count while Merging)**

Use merge procedure of merge sort. Keep track of count while comparing elements of two arrays. If count becomes n(For 2n elements), we have reached the median. Take the average of the elements at indexes n-1 and n in the merged array. See the below implementation.

## C

// A Simple Merge based O(n) solution to find median of // two sorted arrays #include <stdio.h> /* This function returns median of ar1[] and ar2[]. Assumptions in this function: Both ar1[] and ar2[] are sorted arrays Both have n elements */ int getMedian(int ar1[], int ar2[], int n) { int i = 0; /* Current index of i/p array ar1[] */ int j = 0; /* Current index of i/p array ar2[] */ int count; int m1 = -1, m2 = -1; /* Since there are 2n elements, median will be average of elements at index n-1 and n in the array obtained after merging ar1 and ar2 */ for (count = 0; count <= n; count++) { /*Below is to handle case where all elements of ar1[] are smaller than smallest(or first) element of ar2[]*/ if (i == n) { m1 = m2; m2 = ar2[0]; break; } /*Below is to handle case where all elements of ar2[] are smaller than smallest(or first) element of ar1[]*/ else if (j == n) { m1 = m2; m2 = ar1[0]; break; } if (ar1[i] < ar2[j]) { m1 = m2; /* Store the prev median */ m2 = ar1[i]; i++; } else { m1 = m2; /* Store the prev median */ m2 = ar2[j]; j++; } } return (m1 + m2)/2; } /* Driver program to test above function */ int main() { int ar1[] = {1, 12, 15, 26, 38}; int ar2[] = {2, 13, 17, 30, 45}; int n1 = sizeof(ar1)/sizeof(ar1[0]); int n2 = sizeof(ar2)/sizeof(ar2[0]); if (n1 == n2) printf("Median is %d", getMedian(ar1, ar2, n1)); else printf("Doesn't work for arrays of unequal size"); getchar(); return 0; }

## Java

// A Simple Merge based O(n) solution // to find median of two sorted arrays class Main { // function to calculate median static int getMedian(int ar1[], int ar2[], int n) { int i = 0; int j = 0; int count; int m1 = -1, m2 = -1; /* Since there are 2n elements, median will be average of elements at index n-1 and n in the array obtained after merging ar1 and ar2 */ for (count = 0; count <= n; count++) { /* Below is to handle case where all elements of ar1[] are smaller than smallest(or first) element of ar2[] */ if (i == n) { m1 = m2; m2 = ar2[0]; break; } /* Below is to handle case where all elements of ar2[] are smaller than smallest(or first) element of ar1[] */ else if (j == n) { m1 = m2; m2 = ar1[0]; break; } if (ar1[i] < ar2[j]) { /* Store the prev median */ m1 = m2; m2 = ar1[i]; i++; } else { /* Store the prev median */ m1 = m2; m2 = ar2[j]; j++; } } return (m1 + m2)/2; } /* Driver program to test above function */ public static void main (String[] args) { int ar1[] = {1, 12, 15, 26, 38}; int ar2[] = {2, 13, 17, 30, 45}; int n1 = ar1.length; int n2 = ar2.length; if (n1 == n2) System.out.println("Median is " + getMedian(ar1, ar2, n1)); else System.out.println("arrays are of unequal size"); } }

## Python3

# A Simple Merge based O(n) Python 3 solution # to find median of two sorted lists # This function returns median of ar1[] and ar2[]. # Assumptions in this function: # Both ar1[] and ar2[] are sorted arrays # Both have n elements def getMedian( ar1, ar2 , n): i = 0 # Current index of i/p list ar1[] j = 0 # Current index of i/p list ar2[] m1 = -1 m2 = -1 # Since there are 2n elements, median # will be average of elements at index # n-1 and n in the array obtained after # merging ar1 and ar2 count = 0 while count < n + 1: count += 1 # Below is to handle case where all # elements of ar1[] are smaller than # smallest(or first) element of ar2[] if i == n: m1 = m2 m2 = ar2[0] break # Below is to handle case where all # elements of ar2[] are smaller than # smallest(or first) element of ar1[] elif j == n: m1 = m2 m2 = ar1[0] break if ar1[i] < ar2[j]: m1 = m2 # Store the prev median m2 = ar1[i] i += 1 else: m1 = m2 # Store the prev median m2 = ar2[j] j += 1 return (m1 + m2)/2 # Driver code to test above function ar1 = [1, 12, 15, 26, 38] ar2 = [2, 13, 17, 30, 45] n1 = len(ar1) n2 = len(ar2) if n1 == n2: print("Median is ", getMedian(ar1, ar2, n1)) else: print("Doesn't work for arrays of unequal size") # This code is contributed by "Sharad_Bhardwaj".

Output

Median is 16

Time Complexity: O(n)

Method 2 (By comparing the medians of two arrays)

This method works by first getting medians of the two sorted arrays and then comparing them.

Let ar1 and ar2 be the input arrays.

Algorithm:

1) Calculate the medians m1 and m2 of the input arrays ar1[] and ar2[] respectively. 2) If m1 and m2 both are equal then we are done. return m1 (or m2) 3) If m1 is greater than m2, then median is present in one of the below two subarrays. a) From first element of ar1 to m1 (ar1[0...|_n/2_|]) b) From m2 to last element of ar2 (ar2[|_n/2_|...n-1]) 4) If m2 is greater than m1, then median is present in one of the below two subarrays. a) From m1 to last element of ar1 (ar1[|_n/2_|...n-1]) b) From first element of ar2 to m2 (ar2[0...|_n/2_|]) 5) Repeat the above process until size of both the subarrays becomes 2. 6) If size of the two arrays is 2 then use below formula to get the median. Median = (max(ar1[0], ar2[0]) + min(ar1[1], ar2[1]))/2

Example:

ar1[] = {1, 12, 15, 26, 38} ar2[] = {2, 13, 17, 30, 45}

For above two arrays m1 = 15 and m2 = 17

For the above ar1[] and ar2[], m1 is smaller than m2. So median is present in one of the following two subarrays.

[15, 26, 38] and [2, 13, 17]

Let us repeat the process for above two subarrays:

m1 = 26 m2 = 13.

m1 is greater than m2. So the subarrays become

[15, 26] and [13, 17] Now size is 2, so median = (max(ar1[0], ar2[0]) + min(ar1[1], ar2[1]))/2 = (max(15, 13) + min(26, 17))/2 = (15 + 17)/2 = 16

Implementation:

// A divide and conquer based efficient solution to find median // of two sorted arrays of same size. #include<bits/stdc++.h> using namespace std; int median(int [], int); /* to get median of a sorted array */ /* This function returns median of ar1[] and ar2[]. Assumptions in this function: Both ar1[] and ar2[] are sorted arrays Both have n elements */ int getMedian(int ar1[], int ar2[], int n) { /* return -1 for invalid input */ if (n <= 0) return -1; if (n == 1) return (ar1[0] + ar2[0])/2; if (n == 2) return (max(ar1[0], ar2[0]) + min(ar1[1], ar2[1])) / 2; int m1 = median(ar1, n); /* get the median of the first array */ int m2 = median(ar2, n); /* get the median of the second array */ /* If medians are equal then return either m1 or m2 */ if (m1 == m2) return m1; /* if m1 < m2 then median must exist in ar1[m1....] and ar2[....m2] */ if (m1 < m2) { if (n % 2 == 0) return getMedian(ar1 + n/2 - 1, ar2, n - n/2 +1); return getMedian(ar1 + n/2, ar2, n - n/2); } /* if m1 > m2 then median must exist in ar1[....m1] and ar2[m2...] */ if (n % 2 == 0) return getMedian(ar2 + n/2 - 1, ar1, n - n/2 + 1); return getMedian(ar2 + n/2, ar1, n - n/2); } /* Function to get median of a sorted array */ int median(int arr[], int n) { if (n%2 == 0) return (arr[n/2] + arr[n/2-1])/2; else return arr[n/2]; } /* Driver program to test above function */ int main() { int ar1[] = {1, 2, 3, 6}; int ar2[] = {4, 6, 8, 10}; int n1 = sizeof(ar1)/sizeof(ar1[0]); int n2 = sizeof(ar2)/sizeof(ar2[0]); if (n1 == n2) printf("Median is %d", getMedian(ar1, ar2, n1)); else printf("Doesn't work for arrays of unequal size"); return 0; }

Output :

Median is 5

Time Complexity: O(logn)

Algorithmic Paradigm: Divide and Conquer

**Median of two sorted arrays of different sizes**

**References:**

http://en.wikipedia.org/wiki/Median

Please write comments if you find the above codes/algorithms incorrect, or find other ways to solve the same problem.