Description
Given a non-empty array of non-negative integers nums, the degree of this array is defined as the maximum frequency of any one of its elements.
Your task is to find the smallest possible length of a (contiguous) subarray of nums, that has the same degree as nums.
Example 1:
Input: [1, 2, 2, 3, 1]
Output: 2
Explanation:
The input array has a degree of 2 because both elements 1 and 2 appear twice.
Of the subarrays that have the same degree:
[1, 2, 2, 3, 1], [1, 2, 2, 3], [2, 2, 3, 1], [1, 2, 2], [2, 2, 3], [2, 2]
The shortest length is 2. So return 2.
Example 2:
Input: [1,2,2,3,1,4,2]
Output: 6
Note:
- nums.length will be between 1 and 50,000.
- nums[i] will be an integer between 0 and 49,999.
分析
题目的意思是:给你一个数组,给了一个degree的定义:这个数组中元素的频率。求出与原数组中degree相同的子数组的最短长度。
- 用hash表存放次数,用另一个hash表存放该数值在数组的起始位置和结束位置。最后把degree的最大的几个数取出来,取最小长度就行了。
代码
class Solution {
public:
int findShortestSubArray(vector<int>& nums) {
unordered_map<int,int> m;
unordered_map<int,pair<int,int>> pos;
int degree=0;
for(int i=0;i<nums.size();i++){
m[nums[i]]++;
if(m[nums[i]]==1){
pos[nums[i]]={i,i};
}else{
pos[nums[i]].second=i;
}
degree=max(degree,m[nums[i]]);
}
int res=INT_MAX;
for(auto count:m){
if(degree==count.second){
res=min(res,pos[count.first].second-pos[count.first].first+1);
}
}
return res;
}
};

本文探讨了如何通过使用hash表找到与原数组相同度的最短子数组,详细解析了LeetCode上“数组的度”题目,介绍了算法实现思路与代码示例。
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