-
Notifications
You must be signed in to change notification settings - Fork 0
/
MajorityElement.ts
58 lines (52 loc) · 1.52 KB
/
MajorityElement.ts
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
// Source : https://leetcode.com/problems/majority-element/
// Author : squxq
// Date : 2023-09-08
/** ***************************************************************************************************
*
* 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 * 10^4
* -10^9 <= nums[i] <= 10^9
*
* Follow-up: Could you solve the problem in linear time and in O(1) space?
******************************************************************************************************/
export function majorityElement(nums: number[]): number {
// first submit
// const countNumbers = {}
// let maxCount = 0, majority: number
// for (let num of nums) {
// if (countNumbers[num]) {
// countNumbers[num]++
// } else {
// countNumbers[num] = 1
// }
// if (countNumbers[num] > maxCount) {
// maxCount = countNumbers[num]
// majority = num
// }
// }
// return majority
// second submit - Boyer–Moore majority vote algorithm
let majority!: number;
let counter: number = 0;
for (const num of nums) {
if (counter === 0) {
majority = num;
}
counter += majority === num ? 1 : -1;
}
return majority;
}