首先我们将这两个 candidate 初始化为 0(因为有 test case 是数组长度小于 2 的所以不能设置为 nums[0], nums[1]),然后遍历数组,按照版本一的做法,统计这两个 candidate 的出现次数。这一题需要遍历两次 input 数组,第二次遍历的时候是在验证找到的两个 candidate 是否出现次数真的大于数组长度的三分之一,...
169. Majority Element的拓展,这题要求的是出现次数大于n/3的元素,并且限定了时间和空间复杂度,因此不能排序,不能使用哈希表。 解法:Boyer-Moore多数投票算法Boyer–Moore majority vote algorithm,T:O(n) S: O(1) 摩尔投票法 Moore Voting Java: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...
Majority Element II Description Note: Example 1 Example 2 Solution 1(C++) 算法分析 排序,然后计算相邻元素相同的次数,如果超过len/3就可以添加到res中,否则不添加。 程序分析 略。...leetcode 229. Majority Element II leetcode 229. Majority Element II 题意:给你一个数组,让你找出里面出现次数大于[...
在Majority Element题中,超过一半的数有且只会有一个,所以我们只要投票出一个数就行了。而这题中,超过n/3的数最多可能有两个,所以我们要记录出现最多的两个数。 首先获得出现次数最多的两个数 同样的两个candidate和对应的两个counter,如果遍历时,某个候选数和到当前数相等,则给相应计数器加1;如果两个计数...
229. Majority Element II Given an integer array of sizen, find all elements that appear more than⌊ n/3 ⌋times. Example 1: Input: nums = [3,2,3] Output: [3] Example 2: Input: nums = [1] Output: [1] Example 3: Input: nums = [1,2] ...
[LeetCode] Majority Element II 简介:Given an integer array of size n, find all elements that appear more than ⌊ n/3 ⌋ times. The algorithm should run in linear time and in O(1) space.解题思路摩尔投票法。投票法的核心是找出两个候选众数进行投票,需要两遍遍历...
[LeetCode] Majority Element II 简介:Well, this problem becomes a little trickier since there may be more than one majority element. But, there can be at most two of them. Well, this problem becomes a little trickier since there may be more than one majority element. But, there can be ...
Given an array of size n, find the majority element. The majority element is the element that appears more than ⌊ n/2 ⌋ times. You may assume that the array is non-empty and the majority element always exist in the array. Credits: Special thanks to @ts for adding this problem an...
Can you solve this real interview question? Majority Element - 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 ex
Given an array of size n, find the majority element. The majority element is the element that appears more than ⌊ n/2 ⌋ times. You may assume that the array is non-empty and the majority element always exist in the array.