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medianoftwosortedarray.js
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57 lines (51 loc) · 1.53 KB
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// Median of Two Sorted Arrays
// 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.
// Example 3:
// Input: nums1 = [0,0], nums2 = [0,0]
// Output: 0.00000
// Example 4:
// Input: nums1 = [], nums2 = [1]
// Output: 1.00000
// Example 5:
// Input: nums1 = [2], nums2 = []
// Output: 2.00000
var findMedianSortedArrays = function (nums1, nums2) {
let output = null;
let mergedArr = nums1.concat(nums2);
let len = mergedArr.length;
if (len > 1) {
mergedArr.sort(function (a, b) {
return a - b;
});
let cpyArr = Array.from(mergedArr);
let stats = cpyArr.length % 2;
if (stats == 0) {
// even 1, 2, 3, 4 => 2 + 3 / 2
let nxt = mergedArr[parseInt(len / 2)];
let prv = mergedArr[parseInt(len / 2) - 1];
if (nxt == 0 && prv == 0) {
output = 0;
} else {
output = (nxt + prv) / 2;
}
} else {
// odd 1, 2, [3], 4, 5
let middle = parseInt(len / 2);
output = mergedArr[middle];
}
} else if (len == 1) {
output = mergedArr[0];
} else {
output = 0;
}
return output;
};