Given an array nums
of size n
, return the majority element.
The majority element is the element that appears more than ⌊n / 2⌋
times. You may assume that the majority element always exists in the array.
Example 1:
Input: nums = [3,2,3] Output: 3
Example 2:
Input: nums = [2,2,1,1,1,2,2] Output: 2
Constraints:
n == nums.length
1 <= n <= 5 * 104
-231 <= nums[i] <= 231 - 1
Solution 1: (Hash Table)
- Time Complexity : O(n)
- Space Complexity : O(n)
/**
* @param {number[]} nums
* @return {number}
*/
var majorityElement = function(nums) {
let map = new Map();
for (let num of nums) {
map.set(num, (map.has(num) ? map.get(num) : 0) + 1);
if (map.get(num) > nums.length / 2) return num;
}
return -1;
};
Solution 2: (Sorting)
- Time Complexity : O(n)
- Space Complexity : O(1)
var majorityElement = function(nums) {
nums.sort();
return nums[Math.floor(nums.length / 2)];
};
Solution 3: (Divide and conquer)
- Time Complexity : O(nlogn)
- Space Complexity : O(logn)
var majorityElement = function(nums) {
return majority(nums, 0, nums.length - 1);
};
function majority(nums, l, r) {
if (l === r) return nums[l];
const mid = l + Math.floor((r - l) / 2);
const left = majority(nums, l , mid);
const right = majority(nums, mid + 1, r);
if (left === right) return left;
return nums.slice(l, r + 1).filter(x => x === left).length >
nums.slice(l, r + 1).filter(x => x === right).length
? left : right;
}