Leetcode: Majority Element

本文介绍了一种使用摩尔投票算法解决寻找多数元素问题的方法。该算法仅需遍历一次数组即可找出出现次数超过一半的元素,时间复杂度为O(n)。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

Question

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 and creating all test cases.

Show Tags
Show Similar Problems


Solution

Analysis

refer to here
Moore voting algorithm.
We maintain a current candidate and a counter initialized to 0. As we iterate the array, we look at the current element x:
1. If the counter is 0, we set the current candidate to x and the counter to 1.
2. If the counter is not 0, we increment or decrement the counter based on whether x is the current candidate.

After one pass, the current candidate is the majority element. Runtime complexity = O(n).

Code

class Solution(object):
    def majorityElement(self, nums):
        """
        :type nums: List[int]
        :rtype: int
        """

        most, count = nums[0], 1
        for ind in range(1,len(nums)):
            if nums[ind]==most:
                count += 1
            else:
                if count==0:
                    most = nums[ind]
                else:
                    count -= 1

        return most
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值