[LeetCode] 229. Majority Element II 多数元素 II
Given an integer array of size n, find all elements that appear more than ⌊ n/3 ⌋ times.
Note: The algorithm should run in linear time and in O(1) space.
Example 1:
Input: [3,2,3]
Output: [3]
Example 2:
Input: [1,1,1,3,3,2,2,2]
Output: [1,2]
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:
public List<Integer> majorityElement(int[] nums) {
if (nums == null || nums.length == 0)
return new ArrayList<Integer>();
List<Integer> result = new ArrayList<Integer>();
int number1 = nums[0], number2 = nums[0], count1 = 0, count2 = 0, len = nums.length;
for (int i = 0; i < len; i++) {
if (nums[i] == number1)
count1++;
else if (nums[i] == number2)
count2++;
else if (count1 == 0) {
number1 = nums[i];
count1 = 1;
} else if (count2 == 0) {
number2 = nums[i];
count2 = 1;
} else {
count1--;
count2--;
}
}
count1 = 0;
count2 = 0;
for (int i = 0; i < len; i++) {
if (nums[i] == number1)
count1++;
else if (nums[i] == number2)
count2++;
}
if (count1 > len / 3)
result.add(number1);
if (count2 > len / 3)
result.add(number2);
return result;
}
Python:
class Solution:
# @param {integer[]} nums
# @return {integer[]}
def majorityElement(self, nums):
if not nums:
return []
count1, count2, candidate1, candidate2 = 0, 0, 0, 1
for n in nums:
if n == candidate1:
count1 += 1
elif n == candidate2:
count2 += 1
elif count1 == 0:
candidate1, count1 = n, 1
elif count2 == 0:
candidate2, count2 = n, 1
else:
count1, count2 = count1 - 1, count2 - 1
return [n for n in (candidate1, candidate2)
if nums.count(n) > len(nums) // 3]
Python:
class Solution(object):
def majorityElement(self, nums):
"""
:type nums: List[int]
:rtype: List[int]
"""
k, n, cnts = 3, len(nums), collections.defaultdict(int) for i in nums:
cnts[i] += 1
# Detecting k items in cnts, at least one of them must have exactly
# one in it. We will discard those k items by one for each.
# This action keeps the same mojority numbers in the remaining numbers.
# Because if x / n > 1 / k is true, then (x - 1) / (n - k) > 1 / k is also true.
if len(cnts) == k:
for j in cnts.keys():
cnts[j] -= 1
if cnts[j] == 0:
del cnts[j] # Resets cnts for the following counting.
for i in cnts.keys():
cnts[i] = 0 # Counts the occurrence of each candidate integer.
for i in nums:
if i in cnts:
cnts[i] += 1 # Selects the integer which occurs > [n / k] times.
result = []
for i in cnts.keys():
if cnts[i] > n / k:
result.append(i) return result def majorityElement2(self, nums):
"""
:type nums: List[int]
:rtype: List[int]
"""
return [i[0] for i in collections.Counter(nums).items() if i[1] > len(nums) / 3]
C++:
class Solution {
public:
vector<int> majorityElement(vector<int>& nums) {
vector<int> res;
int m = 0, n = 0, cm = 0, cn = 0;
for (auto &a : nums) {
if (a == m) ++cm;
else if (a ==n) ++cn;
else if (cm == 0) m = a, cm = 1;
else if (cn == 0) n = a, cn = 1;
else --cm, --cn;
}
cm = cn = 0;
for (auto &a : nums) {
if (a == m) ++cm;
else if (a == n) ++cn;
}
if (cm > nums.size() / 3) res.push_back(m);
if (cn > nums.size() / 3) res.push_back(n);
return res;
}
};
C++:
vector<int> majorityElement(vector<int>& nums) {
int cnt1 = 0, cnt2 = 0, a=0, b=1;
for(auto n: nums){
if (a==n){
cnt1++;
}
else if (b==n){
cnt2++;
}
else if (cnt1==0){
a = n;
cnt1 = 1;
}
else if (cnt2 == 0){
b = n;
cnt2 = 1;
}
else{
cnt1--;
cnt2--;
}
}
cnt1 = cnt2 = 0;
for(auto n: nums){
if (n==a) cnt1++;
else if (n==b) cnt2++;
}
vector<int> res;
if (cnt1 > nums.size()/3) res.push_back(a);
if (cnt2 > nums.size()/3) res.push_back(b);
return res;
}
类似题目:
[LeetCode] 169. Majority Element 多数元素
All LeetCode Questions List 题目汇总
[LeetCode] 229. Majority Element II 多数元素 II的更多相关文章
- leetcode 229 Majority Element II
这题用到的基本算法是Boyer–Moore majority vote algorithm wiki里有示例代码 1 import java.util.*; 2 public class Majori ...
- LeetCode 229. Majority Element II (众数之二)
Given an integer array of size n, find all elements that appear more than ⌊ n/3 ⌋ times. The algorit ...
- leetcode 229. Majority Element II(多数投票算法)
就是简单的应用多数投票算法(Boyer–Moore majority vote algorithm),参见这道题的题解. class Solution { public: vector<int& ...
- Java for LeetCode 229 Majority Element II
Given an integer array of size n, find all elements that appear more than ⌊ n/3 ⌋ times. The algorit ...
- (medium)LeetCode 229.Majority Element II
Given an integer array of size n, find all elements that appear more than ⌊ n/3 ⌋ times. The algorit ...
- [LeetCode] 169. Majority Element 多数元素
Given an array of size n, find the majority element. The majority element is the element that appear ...
- leetcode 169. Majority Element 、229. Majority Element II
169. Majority Element 求超过数组个数一半的数 可以使用hash解决,时间复杂度为O(n),但空间复杂度也为O(n) class Solution { public: int ma ...
- 【刷题-LeetCode】229. Majority Element II
Majority Element II Given an integer array of size n, find all elements that appear more than ⌊ n/3 ...
- 【LeetCode】229. Majority Element II
Majority Element II Given an integer array of size n, find all elements that appear more than ⌊ n/3 ...
随机推荐
- Spring Cloud Ribbon负载均衡(快速搭建)
Spring Cloud Ribbon 是一个基于HTTP和TCP的客户端负载均衡工具,它基于Netflix Ribbon实现.通过 Spring Cloud 的封装, 可以让我们轻松地将面向服务的 ...
- python_常用断言assert
python自动化测试中寻找元素并进行操作,如果在元素好找的情况下,相信大家都可以较熟练地编写用例脚本了,但光进行操作可能还不够,有时候也需要对预期结果进行判断. 常用 这里介绍几个常用断言的使用方法 ...
- 项目Alpha冲刺(团队) -- 测试
项目Alpha冲刺(团队) --测试 1.团队信息 团队名 :男上加男 成员信息 : 队员学号 队员姓名 个人博客地址 备注 221600427 Alicesft https://www.cnblog ...
- SOA 架构与微服务架构的区别
注重重用,微服务注重重写 SOA 的主要目的是为了企业各个系统更加容易地融合在一起. 微服务通常由重写一个模块开始.要把整个巨石型的应用重写是有很大的风险的,也不一定必要.我们向微服务迁移的时候通常从 ...
- springboot(三)
SpringBoot 整合JdbcTemplate 1.创建一个springboot_jdbc项目 2.导入依赖 <dependency> <groupId>org.spri ...
- java实现ssh登录linux服务器并下发命令
依赖jar包:jsch-0.1.55.jar commons-io-2.5.jar import com.jcraft.jsch.ChannelExec; import com.jcraft.js ...
- WinDbg常用命令系列---显示数字格式化.formats
.formats (Show Number Formats) .formats命令在当前线程和进程的上下文中计算表达式或符号,并以多种数字格式显示它. .formats expression 参数: ...
- C# await async Task
//原文:https://www.cnblogs.com/yan7/p/8401681.html //原文:https://www.cnblogs.com/s5689412/p/10073507.ht ...
- CSPS_110
永远不要相信出题人诸如“保证图联通”之类的鬼话. T1 最优情况一定为从LR最高的不同位以下全是1 T2 折半搜索 T3 1.我算法不是mlog^2m,最坏情况下mlogm再乘个根号m, 考试的时候没 ...
- 用Python操作MySQL(pymysql)
用python来操作MySQL,首先需要安装PyMySQL库(pip install pymysql). 连接MySQL: import pymysql connect=pymysql.connect ...