24. Median of Two Sorted Arrays
hardAsked at MercadoLibreFind the median of two sorted arrays in logarithmic time.
By Alex Chen, Founder, InterviewChamp.AI · Last verified
Problem
Given two sorted arrays nums1 and nums2 of sizes m and n respectively, return the median of the two sorted arrays. The overall run time complexity should be O(log(m+n)).
Constraints
0 <= m, n <= 10001 <= m + n <= 2000-10^6 <= nums1[i], nums2[i] <= 10^6
Examples
Example 1
nums1 = [1,3], nums2 = [2]2.0Example 2
nums1 = [1,2], nums2 = [3,4]2.5Approaches
1. Merge then index
Merge both arrays into one sorted array and read the middle element(s).
- Time
- O(m+n)
- Space
- O(m+n)
const a = [...nums1, ...nums2].sort((x,y)=>x-y);
const n = a.length;
return n % 2 ? a[(n-1)/2] : (a[n/2 - 1] + a[n/2]) / 2;Tradeoff:
2. Binary partition
Binary-search a partition of the smaller array such that left halves of both arrays form the lower half of the merged sequence. Median falls on the partition boundary.
- Time
- O(log min(m,n))
- Space
- O(1)
function findMedianSortedArrays(a, b) {
if (a.length > b.length) [a, b] = [b, a];
const m = a.length, n = b.length, half = ((m + n + 1) / 2) | 0;
let lo = 0, hi = m;
while (lo <= hi) {
const i = (lo + hi) >> 1, j = half - i;
const aL = i ? a[i-1] : -Infinity, aR = i < m ? a[i] : Infinity;
const bL = j ? b[j-1] : -Infinity, bR = j < n ? b[j] : Infinity;
if (aL <= bR && bL <= aR) {
if ((m + n) % 2) return Math.max(aL, bL);
return (Math.max(aL, bL) + Math.min(aR, bR)) / 2;
} else if (aL > bR) hi = i - 1;
else lo = i + 1;
}
}Tradeoff:
MercadoLibre-specific tips
MercadoLibre fraud teams ask this to test log-time partition thinking — useful for percentile computations across two sorted streams of seller risk scores from Brazil and Argentina.
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