这道题没什么难度,我用的map,注意需要熟悉map建立、iterator遍历、map插入返回值等。
我的做法
/**
* Definition for a binary tree node.
* struct TreeNode {
* int val;
* TreeNode *left;
* TreeNode *right;
* TreeNode(int x) : val(x), left(NULL), right(NULL) {}
* };
*/
class Solution {
public:
int countSum (TreeNode* root, map<int, int>& findFre){
if(root == NULL)
return 0;
int total = countSum(root->left, findFre) + countSum(root -> right, findFre) + root -> val;
if(!findFre.emplace(total, 1).second)
++findFre[total];
return total;
}
vector<int> findFrequentTreeSum(TreeNode* root) {
vector<int> output;
int most = 0;
map<int, int> findFre;
countSum (root, findFre);
for(map <int, int>::iterator i = findFre.begin(); i != findFre.end(); i ++){
if (i->second > most)
most = i -> second;
}
for(map <int, int>::iterator i = findFre.begin(); i != findFre.end(); i ++){
if (i -> second == most)
output.push_back(i -> first);
}
return output;
}
};
他人解法
发现写法优雅但是比我慢。。。谜。。。leetcode不能查看最快的提交吗。。。
class Solution {
public:
vector<int> findFrequentTreeSum(TreeNode* root) {
unordered_map<int,int> counts;
int maxCount = 0;
countSubtreeSums(root, counts, maxCount);
vector<int> maxSums;
for(const auto& x : counts){
if(x.second == maxCount) maxSums.push_back(x.first);
}
return maxSums;
}
int countSubtreeSums(TreeNode *r, unordered_map<int,int> &counts, int& maxCount){
if(r == nullptr) return 0;
int sum = r->val;
sum += countSubtreeSums(r->left, counts, maxCount);
sum += countSubtreeSums(r->right, counts, maxCount);
++counts[sum];
maxCount = max(maxCount, counts[sum]);
return sum;
}
};
这个地方的
++counts[sum];
似乎如果查询不到就会新建?
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