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法律研究用 C++ 打印子数组，其中子数组和为 0
在本题中，我们会得到一个整数值数组，我们必须打印出该数组中所有和为 0 的子数组。
我们举个例子，以便更好地理解该主题，
Input: array = [-5, 0, 2, 3, -3, 4, -1] Output: Subarray with sum 0 is from 1 to 4. Subarray with sum 0 is from 5 to 7 Subarray with sum 0 is from 0 to 7
为了解决此问题，我们将检查所有可能的子数组。检查这些子数组的和是否等于 0，若等于 0，则打印出来。此解决方案易于理解，但复杂度较高，时间复杂度为O(n^2)。
解决此问题的更佳方案是使用哈希。为了解决此问题，如果和等于 0，我们将找到它并将其添加到哈希表中。
算法
Step 1: Create a sum variable. Step 2: If sum =0, subarray starts from index 0 to end index of the array. Step 3: If the current sum is in the hash table. Step 4: If the sum exists, then subarray from i+1 to n must be zero. Step 5: Else insert into the hash table.
示例
#include <bits/stdc++.h>
using namespace std;
vector< pair<int, int> > findSubArrayWithSumZero(int arr[], int n){
unordered_map<int, vector<int> >map;
vector <pair<int, int>> out;
int sum = 0;
for (int i = 0; i < n; i++){
sum += arr[i];
if (sum == 0)
out.push_back(make_pair(0, i));
if (map.find(sum) != map.end()){
vector<int> vc = map[sum];
for (auto it = vc.begin(); it != vc.end(); it++)
out.push_back(make_pair(*it + 1, i));
}
map[sum].push_back(i);
}
return out;
}
int main(){
int arr[] = {-5, 0, 2, 3, -3, 4, -1};
int n = sizeof(arr)/sizeof(arr[0]);
vector<pair<int, int> > out = findSubArrayWithSumZero(arr, n);
if (out.size() == 0)
cout << "No subarray exists";
else
for (auto it = out.begin(); it != out.end(); it++)
cout<<"Subarray with sum 0 is from "<<it->first <<" to "<<it->second<<endl;
return 0;
}输出
Subarray with sum 0 is from 1 to 1 Subarray with sum 0 is from 0 to 3 Subarray with sum 0 is from 3 to 4 Subarray with sum 0 is from 0 to 6 Subarray with sum 0 is from 4 to 6
更新日期：2020-01-17
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