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)).
Example 1:
Input: nums1 = [1,2], nums2 = [3,4]
Output: 2.50000
Explanation: merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5.
Approach:-
Lets code:-
public double findMedianSortedArrays(int[] nums1, int[] nums2) {
if(nums1.length>nums2.length){
return findMedianSortedArrays(nums2, nums1);
}
int x = nums1.length;
int y = nums2.length;
int low = 0;
int high = x;
while(low<high){
int partitionX = (low + high)/2;
int partitionY = (x+y+1)/2 - partitionX;
int maxLeftX = partitionX==0?Integer.MIN_VALUE:nums1[partitionX-1];
int minRightX = partitionX==x?Integer.MAX_VALUE:nums1[partitionX];
int maxLeftY = partitionY==0?Integer.MIN_VALUE:nums2[partitionY-1];
int minRightY = partitionY==y?Integer.MAX_VALUE:nums2[partitionY];
if(maxLeftX<=minRightY && maxLeftY<=minRightX){
if(x+y%2==0){
return (double)(Math.max(maxLeftX, maxLeftY) + Math.min(minRightX, minRightY))/2;
} else {
return (double)(Math.max(maxLeftX, maxLeftY));
}
} else if(maxLeftX>minRightY){
high = partitionX - 1;
} else if(maxLeftY>minRightX){
low = partitionX + 1;
}
}
throw new Error();
}
Time complexity - O(log(min(x, y)) Space complexity - O(1)