Name: 4. Median of Two Sorted Arrays
Rating: 1.5 (7771 reviews)
Author: munisekharudavalapati

4. Median of Two Sorted Arrays

Munisekhar Udavalapati - Oct 31 -

- Dev Community

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 = [1,3], nums2 = [2]
Output: 2.00000
Explanation: merged array = [1,2,3] and median is 2.
Example 2:

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.

Constraints:

nums1.length == m
nums2.length == n
0 <= m <= 1000
0 <= n <= 1000
1 <= m + n <= 2000
-106 <= nums1[i], nums2[i] <= 106

var findMedianSortedArrays = function(nums1, nums2) {
 const toltalLength = nums1.length + nums2.length;let x = 0;
let y = 0;
const mergedArr = []
for(let i=0; i< toltalLength;i++){

if(x> nums1.length -1){  nums2.splice(0, y)
     mergedArr.push(...nums2)
      break; }

       if(y> nums2.length -1){
            nums1.splice(0, x)
            mergedArr.push(...nums1)
           break;
       }

       if(nums1[x] > nums2[y]){
           mergedArr.push(nums2[y]);
           y++;
           continue;
       }else{
           mergedArr.push(nums1[x]);
           x++;
           continue;
       }

   }

   if(toltalLength % 2 === 0){
       return (mergedArr[toltalLength/2] +  mergedArr[toltalLength/2 -1]) /2
   }else{
       return mergedArr[(toltalLength-1)/2]
   }

};