Added median of two sorted arrays solution in leetcode folder

Author: umang345

LeetCode/MedianOfTwoSortedArrays-BinarySearch.java

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+/**
+*  Question Link : https://leetcode.com/problems/median-of-two-sorted-arrays/
+*
+*  Problem Statement : Given two sorted arrays nums1 and nums2 of size m and n respectively, 
+*                      return the median of the two sorted arrays.
+*                      The overall run time complexity should be O(log (m+n)).
+*
+*  Intuition : Both arrays are sorted and expected time complexity is logarithmic, we can try using Binary Search
+*
+*  Example : 
+*  nums1 = [1, 3, 4, 7, 10, 12]
+*  nums2 = [2, 3, 6, 15]
+*
+*  Observation :   
+*  In Combined array : 
+*  [1, 2, 3 , 3, 4, 6, 7, 10, 12 ,15]
+*  we need two middle elements(in case where m+n is even) or single middle element(in case where m+n is odd)
+*
+*                       |
+*       [1, 2, 3 , 3, 4,| 6, 7, 10, 12 ,15]
+*                       |    
+*
+*  If we partition the array in two halves, we need largest element from first half and smallest element from second half
+*
+*  From two arrays, partition can be created in following ways
+*
+*
+*    nums1 :    [1,3,4,7,10]    |   [12]
+*                               |
+*    nums2 :                    |   [2,3,6,15]
+*                               |
+*    ______________________________________________
+*
+*    nums1 :    [1,3,4,7]       |   [10,12]
+*                               |
+*    nums2 :    [2]             |   [3,6,15]
+*                               |
+*   _______________________________________________
+*
+*    nums1 :    [1,3,4]         |   [7,10,12]
+*                               |
+*    nums2 :    [2,3]           |   [6,15]
+*                               |
+*   _______________________________________________
+*
+*    nums1 :    [1,3]           |   [4,7,10,12]
+*                               |
+*    nums2 :    [2,3,6]         |   [15]
+*                               |
+*   ______________________________________________
+*
+*    nums1 :    [1]             |   [3,4,7,10,12]
+*                               |
+*    nums2 :    [2,3,6,15]      |
+*                               |
+*   ______________________________________________
+*                  
+*   If the largest element of nums1[] in left partition 
+*   is less than or equal to smallest element of nums2[] in right patrtition
+*   and
+*   If the largest element of nums2[] in left partition 
+*   is less than or equal to smallest element of nums1[] in right patrtition
+*      
+*   Then that partion is a valid partition
+*
+*/
+
+class Solution {
+    public double findMedianSortedArrays(int[] nums1, int[] nums2) 
+    {
+        if(nums2.length < nums1.length)
+        {
+             return findMedianSortedArrays(nums2, nums1); 
+        }
+        int n = nums1.length;
+        int m = nums2.length;
+        
+        int low = 0;
+        int high = n;
+        
+        while(low<=high)
+        {
+             int partition1 = (low+high)>>1;
+             int partition2 = (n+m+1)/2 - partition1;
+            
+             int left1 = (partition1==0)?Integer.MIN_VALUE : nums1[partition1-1];
+             int left2 = (partition2==0)?Integer.MIN_VALUE : nums2[partition2-1];
+            
+             int right1 = (partition1==n)?Integer.MAX_VALUE : nums1[partition1];
+             int right2 = (partition2==m)?Integer.MAX_VALUE : nums2[partition2];
+            
+            if(left1<=right2 && left2<=right1)
+            {
+                 if((n+m)%2==0)
+                 {
+                      return (max(left1, left2)+min(right1,right2))/2.0;
+                 }
+                 else
+                 {
+                       return max(left1, left2);
+                 }
+            }
+            else if(left1 > right2)
+            {
+                 high = partition1-1;
+            }
+            else
+            {
+                 low = partition1+1;
+            }
+        }
+        
+        return 0.0;
+        
+    }
+    
+    public int max(int a, int b)
+    {
+         return a>b? a:b;
+    }
+    public int min(int a, int b)
+    {
+         return a<b? a:b;
+    }
+}
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